Han Wang - Podcast Details

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Daily Paper CastAligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation 🤗 Upvotes: 29 | cs.CV Authors: Min-Seop Kwak, Junho Kim, Sangdoo Yun, Dongyoon Han, Taekyoung Kim, Seungryong Kim, Jin-Hwa Kim Title: Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation Arxiv: http://arxiv.org/abs/2506.11924v1 Abstract: We introduce a diffusion-based framework that performs aligned novel view image and geometry generation via a warping-and-inpainting methodology. Unlike prior methods that require dense posed images or pose-embedded generative models limited to in-domain views, our method leverages off-the-shelf geometry predictors to predict partial geometries viewed from reference images, and formulates nov...2025-06-1721 min

Daily Paper CastMiniCPM4: Ultra-Efficient LLMs on End Devices 🤗 Upvotes: 60 | cs.CL, cs.AI Authors: MiniCPM Team, Chaojun Xiao, Yuxuan Li, Xu Han, Yuzhuo Bai, Jie Cai, Haotian Chen, Wentong Chen, Xin Cong, Ganqu Cui, Ning Ding, Shengdan Fan, Yewei Fang, Zixuan Fu, Wenyu Guan, Yitong Guan, Junshao Guo, Yufeng Han, Bingxiang He, Yuxiang Huang, Cunliang Kong, Qiuzuo Li, Siyuan Li, Wenhao Li, Yanghao Li, Yishan Li, Zhen Li, Dan Liu, Biyuan Lin, Yankai Lin, Xiang Long, Quanyu Lu, Yaxi Lu, Peiyan Luo, Hongya Lyu, Litu Ou, Yinxu Pan, Zekai Qu, Qundong Shi, Zijun Song, Jiayuan Su, Zhou Su, Ao Sun, Xianghui Sun, Peijun Tang, Fan...2025-06-1120 min

China Business Law PodcastDispute Resolution in China with Andy HanDispute Resolution in China with Andy HanWelcome to another episode of the China Business Law Podcast. In this episode, we are privileged to host Andy Han, a partner at Allbright Law with expertise in cross-border dispute resolution involving China. His insights offer a deep dive into the intricacies of navigating legal disputes in the region.Introducing Andy HanConnect with AndyAllbright LawAndy Han brings over a decade of experience as an attorney in China, specializing in cross-border disputes and transactions such as M&A and Foreign...2025-06-0827 min

Daily Paper CastRoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics 🤗 Upvotes: 32 | cs.RO, cs.AI, cs.CV Authors: Enshen Zhou, Jingkun An, Cheng Chi, Yi Han, Shanyu Rong, Chi Zhang, Pengwei Wang, Zhongyuan Wang, Tiejun Huang, Lu Sheng, Shanghang Zhang Title: RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics Arxiv: http://arxiv.org/abs/2506.04308v1 Abstract: Spatial referring is a fundamental capability of embodied robots to interact with the 3D physical world. However, even with the powerful pretrained vision language models (VLMs), recent approaches are still not qualified to accurately understand the complex 3D sce...2025-06-0723 min

Daily Paper CastCASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark 🤗 Upvotes: 35 | cs.AR, cs.AI, cs.CL, cs.LG, cs.PL Authors: Ahmed Heakl, Sarim Hashmi, Gustavo Bertolo Stahl, Seung Hun Eddie Han, Salman Khan, Abdulrahman Mahmoud Title: CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark Arxiv: http://arxiv.org/abs/2505.16968v3 Abstract: We introduce CASS, the first large-scale dataset and model suite for cross-architecture GPU code transpilation, targeting both source-level (CUDA HIP) and assembly-level (Nvidia SASS AMD RDNA3) translation. The dataset comprises 70k verified code pairs across host and device, addressing a critical gap in...2025-06-0622 min

Daily Paper CastAlphaOne: Reasoning Models Thinking Slow and Fast at Test Time 🤗 Upvotes: 63 | cs.CL Authors: Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang Title: AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time Arxiv: http://arxiv.org/abs/2505.24863v1 Abstract: This paper presents AlphaOne ($\alpha$1), a universal framework for modulating reasoning progress in large reasoning models (LRMs) at test time. $\alpha$1 first introduces $\alpha$ moment, which represents the scaled thinking phase with a universal parameter $\alpha$. Within this scaled pre-$\alpha$ moment phase, it...2025-06-0320 min

Daily Paper CastSynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond 🤗 Upvotes: 43 | cs.AI, cs.CL Authors: Junteng Liu, Yuanxiang Fan, Zhuo Jiang, Han Ding, Yongyi Hu, Chi Zhang, Yiqi Shi, Shitong Weng, Aili Chen, Shiqi Chen, Yunan Huang, Mozhi Zhang, Pengyu Zhao, Junjie Yan, Junxian He Title: SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Arxiv: http://arxiv.org/abs/2505.19641v3 Abstract: Recent advances such as OpenAI-o1 and DeepSeek R1 have demonstrated the potential of Reinforcement Learning (RL) to enhance reasoning abilities in Large Language Models (LLMs). While open-source replication efforts have pri...2025-05-2921 min

Daily Paper CastPhyX: Does Your Model Have the "Wits" for Physical Reasoning? 🤗 Upvotes: 38 | cs.AI Authors: Hui Shen, Taiqiang Wu, Qi Han, Yunta Hsieh, Jizhou Wang, Yuyue Zhang, Yuxin Cheng, Zijian Hao, Yuansheng Ni, Xin Wang, Zhongwei Wan, Kai Zhang, Wendong Xu, Jing Xiong, Ping Luo, Wenhu Chen, Chaofan Tao, Zhuoqing Mao, Ngai Wong Title: PhyX: Does Your Model Have the "Wits" for Physical Reasoning? Arxiv: http://arxiv.org/abs/2505.15929v1 Abstract: Existing benchmarks fail to capture a crucial aspect of intelligence: physical reasoning, the integrated ability to combine domain knowledge, symbolic reasoning, and understanding of real-world constraints. To add...2025-05-2722 min $What\'s This Called? w/ Ricardo Wang$ What's This Called? w/ Ricardo Wang24 May 2025 Cosmic Travelogue PLAYLIST: ArtistSongReleaseReleasedLabelBeta ConsciousnessTheta Flow3.02025Unexplained Sounds GroupTo Rococo RotThe Trance of TravelMusic Is a Hungry Ghost2001City SlangSven WunderMagnoliaEastern Flowers2019Piano PianoBill HoristSessile SecessionistSubstratum2024Right Brain RecordsSunburned Hand of the ManNo Magic ManNo Magic Man2004Manhand DigitalAdrian SherwoodThe Grand DesignerThe Grand Designer – EP2025On-U SoundAmy DenioExilesTongues1993Spoot MusicYousef KawarVisitorsSolaris: Music inspired by Andrei Tarkowski’s movie2025Unexplained Sounds GroupEdward Ka-SpelThe Border of BeyondThe Victoria Dimension2016Beta Lactam Ring RecordsWonaDusts in the NoonAshes and Arms – EP2025Sound Supply ServiceJandekCrime PaysLiving in a Moon So Blue1982Corwood IndustriesMatthew ShippThe Cosmic PianoThe Cosmic Piano2025Bang on a CanEst...2025-05-2400 min

Daily Paper CastWeb-Shepherd: Advancing PRMs for Reinforcing Web Agents 🤗 Upvotes: 80 | cs.CL Authors: Hyungjoo Chae, Sunghwan Kim, Junhee Cho, Seungone Kim, Seungjun Moon, Gyeom Hwangbo, Dongha Lim, Minjin Kim, Yeonjun Hwang, Minju Gwak, Dongwook Choi, Minseok Kang, Gwanhoon Im, ByeongUng Cho, Hyojun Kim, Jun Hee Han, Taeyoon Kwon, Minju Kim, Beong-woo Kwak, Dongjin Kang, Jinyoung Yeo Title: Web-Shepherd: Advancing PRMs for Reinforcing Web Agents Arxiv: http://arxiv.org/abs/2505.15277v1 Abstract: Web navigation is a unique domain that can automate many repetitive real-life tasks and is challenging as it requires long-horizon sequential decision making beyond typical mul...2025-05-2322 min

Daily Paper CastModel Merging in Pre-training of Large Language Models 🤗 Upvotes: 27 | cs.CL, cs.LG Authors: Yunshui Li, Yiyuan Ma, Shen Yan, Chaoyi Zhang, Jing Liu, Jianqiao Lu, Ziwen Xu, Mengzhao Chen, Minrui Wang, Shiyi Zhan, Jin Ma, Xunhao Lai, Yao Luo, Xingyan Bin, Hongbin Ren, Mingji Han, Wenhao Hao, Bairen Yi, LingJun Liu, Bole Ma, Xiaoying Jia, Zhou Xun, Siyuan Qiao, Liang Xiang, Yonghui Wu Title: Model Merging in Pre-training of Large Language Models Arxiv: http://arxiv.org/abs/2505.12082v2 Abstract: Model merging has emerged as a promising technique for enhancing large language models, though its app...2025-05-2123 min

Daily Paper CastVisual Planning: Let's Think Only with Images 🤗 Upvotes: 33 | cs.LG, cs.AI, cs.CL, cs.CV Authors: Yi Xu, Chengzu Li, Han Zhou, Xingchen Wan, Caiqi Zhang, Anna Korhonen, Ivan Vulić Title: Visual Planning: Let's Think Only with Images Arxiv: http://arxiv.org/abs/2505.11409v1 Abstract: Recent advancements in Large Language Models (LLMs) and their multimodal extensions (MLLMs) have substantially enhanced machine reasoning across diverse tasks. However, these models predominantly rely on pure text as the medium for both expressing and structuring reasoning, even when visual information is present. In this work, we argue that...2025-05-2021 min

Daily Paper CastSeed1.5-VL Technical Report 🤗 Upvotes: 86 | cs.CV, cs.AI Authors: Dong Guo, Faming Wu, Feida Zhu, Fuxing Leng, Guang Shi, Haobin Chen, Haoqi Fan, Jian Wang, Jianyu Jiang, Jiawei Wang, Jingji Chen, Jingjia Huang, Kang Lei, Liping Yuan, Lishu Luo, Pengfei Liu, Qinghao Ye, Rui Qian, Shen Yan, Shixiong Zhao, Shuai Peng, Shuangye Li, Sihang Yuan, Sijin Wu, Tianheng Cheng, Weiwei Liu, Wenqian Wang, Xianhan Zeng, Xiao Liu, Xiaobo Qin, Xiaohan Ding, Xiaojun Xiao, Xiaoying Zhang, Xuanwei Zhang, Xuehan Xiong, Yanghua Peng, Yangrui Chen, Yanwei Li, Yanxu Hu, Yi Lin, Yiyuan Hu, Yiyuan Zhang, Youbin Wu, Yu Li, Yudong Liu, Yue...2025-05-1420 min

Daily Paper CastStep1X-Edit: A Practical Framework for General Image Editing 🤗 Upvotes: 55 | cs.CV Authors: Shiyu Liu, Yucheng Han, Peng Xing, Fukun Yin, Rui Wang, Wei Cheng, Jiaqi Liao, Yingming Wang, Honghao Fu, Chunrui Han, Guopeng Li, Yuang Peng, Quan Sun, Jingwei Wu, Yan Cai, Zheng Ge, Ranchen Ming, Lei Xia, Xianfang Zeng, Yibo Zhu, Binxing Jiao, Xiangyu Zhang, Gang Yu, Daxin Jiang Title: Step1X-Edit: A Practical Framework for General Image Editing Arxiv: http://arxiv.org/abs/2504.17761v1 Abstract: In recent years, image editing models have witnessed remarkable and rapid development. The recent unveiling of cutting-edge multimodal mod...2025-04-2620 min

Daily Paper CastTrillion 7B Technical Report 🤗 Upvotes: 27 | cs.CL, cs.AI, cs.LG Authors: Sungjun Han, Juyoung Suk, Suyeong An, Hyungguk Kim, Kyuseok Kim, Wonsuk Yang, Seungtaek Choi, Jamin Shin Title: Trillion 7B Technical Report Arxiv: http://arxiv.org/abs/2504.15431v1 Abstract: We introduce Trillion-7B, the most token-efficient Korean-centric multilingual LLM available. Our novel Cross-lingual Document Attention (XLDA) mechanism enables highly efficient and effective knowledge transfer from English to target languages like Korean and Japanese. Combined with optimized data mixtures, language-specific filtering, and tailored tokenizer construction, Trillion-7B achieves competitive performance while ded...2025-04-2525 min

Daily Paper CastGenerate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling 🤗 Upvotes: 28 | cs.CV Authors: Tsung-Han Wu, Heekyung Lee, Jiaxin Ge, Joseph E. Gonzalez, Trevor Darrell, David M. Chan Title: Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling Arxiv: http://arxiv.org/abs/2504.13169v1 Abstract: Vision-Language Models (VLMs) excel at visual understanding but often suffer from visual hallucinations, where they generate descriptions of nonexistent objects, actions, or concepts, posing significant risks in safety-critical applications. Existing hallucination mitigation methods typically follow one of two paradigms: generation adjustment, which modifies decoding behavior to align text with visual inp...2025-04-1920 min

Daily Paper CastInternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models 🤗 Upvotes: 172 | cs.CV Authors: Jinguo Zhu, Weiyun Wang, Zhe Chen, Zhaoyang Liu, Shenglong Ye, Lixin Gu, Yuchen Duan, Hao Tian, Weijie Su, Jie Shao, Zhangwei Gao, Erfei Cui, Yue Cao, Yangzhou Liu, Xingguang Wei, Hongjie Zhang, Haomin Wang, Weiye Xu, Hao Li, Jiahao Wang, Dengnian Chen, Songze Li, Yinan He, Tan Jiang, Jiapeng Luo, Yi Wang, Conghui He, Botian Shi, Xingcheng Zhang, Wenqi Shao, Junjun He, Yingtong Xiong, Wenwen Qu, Peng Sun, Penglong Jiao, Han Lv, Lijun Wu, Kaipeng Zhang, Huipeng Deng, Jiaye Ge, Kai Chen, Limin Wang, Min Dou, Lewei Lu, Xizhou Zhu, Tong Lu, Dah...2025-04-1622 min

Daily Paper CastKimi-VL Technical Report 🤗 Upvotes: 71 | cs.CV Authors: Kimi Team, Angang Du, Bohong Yin, Bowei Xing, Bowen Qu, Bowen Wang, Cheng Chen, Chenlin Zhang, Chenzhuang Du, Chu Wei, Congcong Wang, Dehao Zhang, Dikang Du, Dongliang Wang, Enming Yuan, Enzhe Lu, Fang Li, Flood Sung, Guangda Wei, Guokun Lai, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haoning Wu, Haotian Yao, Haoyu Lu, Heng Wang, Hongcheng Gao, Huabin Zheng, Jiaming Li, Jianlin Su, Jianzhou Wang, Jiaqi Deng, Jiezhong Qiu, Jin Xie, Jinhong Wang, Jingyuan Liu, Junjie Yan, Kun Ouyang, Liang Chen, Lin Sui, Longhui Yu, Mengfan Dong, Mengnan Dong, Nuo...2025-04-1223 min

Daily Paper CastDeepSeek-R1 Thoughtology: Let's about LLM Reasoning 🤗 Upvotes: 33 | cs.CL Authors: Sara Vera Marjanović, Arkil Patel, Vaibhav Adlakha, Milad Aghajohari, Parishad BehnamGhader, Mehar Bhatia, Aditi Khandelwal, Austin Kraft, Benno Krojer, Xing Han Lù, Nicholas Meade, Dongchan Shin, Amirhossein Kazemnejad, Gaurav Kamath, Marius Mosbach, Karolina Stańczak, Siva Reddy Title: DeepSeek-R1 Thoughtology: Let's about LLM Reasoning Arxiv: http://arxiv.org/abs/2504.07128v1 Abstract: Large Reasoning Models like DeepSeek-R1 mark a fundamental shift in how LLMs approach complex problems. Instead of directly producing an answer for a given input, DeepSeek-R1 creates detailed multi-step reasoning chains, seemingly "thinki...2025-04-1225 min

Daily Paper CastOne-Minute Video Generation with Test-Time Training 🤗 Upvotes: 61 | cs.CV Authors: Karan Dalal, Daniel Koceja, Gashon Hussein, Jiarui Xu, Yue Zhao, Youjin Song, Shihao Han, Ka Chun Cheung, Jan Kautz, Carlos Guestrin, Tatsunori Hashimoto, Sanmi Koyejo, Yejin Choi, Yu Sun, Xiaolong Wang Title: One-Minute Video Generation with Test-Time Training Arxiv: http://arxiv.org/abs/2504.05298v1 Abstract: Transformers today still struggle to generate one-minute videos because self-attention layers are inefficient for long context. Alternatives such as Mamba layers struggle with complex multi-scene stories because their hidden states are less expressive. We experiment with Test-Time Training (TTT...2025-04-0918 min

Daily Paper CastToken-Efficient Long Video Understanding for Multimodal LLMs 🤗 Upvotes: 41 | cs.CV Authors: Jindong Jiang, Xiuyu Li, Zhijian Liu, Muyang Li, Guo Chen, Zhiqi Li, De-An Huang, Guilin Liu, Zhiding Yu, Kurt Keutzer, Sungjin Ahn, Jan Kautz, Hongxu Yin, Yao Lu, Song Han, Wonmin Byeon Title: Token-Efficient Long Video Understanding for Multimodal LLMs Arxiv: http://arxiv.org/abs/2503.04130v1 Abstract: Recent advances in video-based multimodal large language models (Video-LLMs) have significantly improved video understanding by processing videos as sequences of image frames. However, many existing methods treat frames independently in the vision backbone, lacking explicit temporal mod...2025-03-0821 min

Daily Paper CastDeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking 🤗 Upvotes: 27 | cs.AI Authors: Zhuoqun Li, Haiyang Yu, Xuanang Chen, Hongyu Lin, Yaojie Lu, Fei Huang, Xianpei Han, Yongbin Li, Le Sun Title: DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking Arxiv: http://arxiv.org/abs/2502.20730v1 Abstract: Designing solutions for complex engineering challenges is crucial in human production activities. However, previous research in the retrieval-augmented generation (RAG) field has not sufficiently addressed tasks related to the design of complex engineering solutions. To fill this gap, we introduce a new benchmark, SolutionBench, to eva...2025-03-0422 min

Daily Paper CastStep-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model 🤗 Upvotes: 38 | cs.CV, cs.CL Authors: Guoqing Ma, Haoyang Huang, Kun Yan, Liangyu Chen, Nan Duan, Shengming Yin, Changyi Wan, Ranchen Ming, Xiaoniu Song, Xing Chen, Yu Zhou, Deshan Sun, Deyu Zhou, Jian Zhou, Kaijun Tan, Kang An, Mei Chen, Wei Ji, Qiling Wu, Wen Sun, Xin Han, Yanan Wei, Zheng Ge, Aojie Li, Bin Wang, Bizhu Huang, Bo Wang, Brian Li, Changxing Miao, Chen Xu, Chenfei Wu, Chenguang Yu, Dapeng Shi, Dingyuan Hu, Enle Liu, Gang Yu, Ge Yang, Guanzhe Huang, Gulin Yan, Haiyang Feng, Hao Nie, Haonan Jia, Hanpeng Hu, Hanqi Chen, Haolong Yan, Hen...2025-02-1823 min

Daily Paper CastZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models 🤗 Upvotes: 27 | cs.CV Authors: Jonathan Roberts, Mohammad Reza Taesiri, Ansh Sharma, Akash Gupta, Samuel Roberts, Ioana Croitoru, Simion-Vlad Bogolin, Jialu Tang, Florian Langer, Vyas Raina, Vatsal Raina, Hanyi Xiong, Vishaal Udandarao, Jingyi Lu, Shiyang Chen, Sam Purkis, Tianshuo Yan, Wenye Lin, Gyungin Shin, Qiaochu Yang, Anh Totti Nguyen, Kai Han, Samuel Albanie Title: ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models Arxiv: http://arxiv.org/abs/2502.09696v1 Abstract: Large Multimodal Models (LMMs) exhibit major shortfalls when interpreting images and, by some measures, have poorer spatial cog...2025-02-1822 min

Daily Paper CastTextAtlas5M: A Large-scale Dataset for Dense Text Image Generation 🤗 Upvotes: 35 | cs.CV Authors: Alex Jinpeng Wang, Dongxing Mao, Jiawei Zhang, Weiming Han, Zhuobai Dong, Linjie Li, Yiqi Lin, Zhengyuan Yang, Libo Qin, Fuwei Zhang, Lijuan Wang, Min Li Title: TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation Arxiv: http://arxiv.org/abs/2502.07870v1 Abstract: Text-conditioned image generation has gained significant attention in recent years and are processing increasingly longer and comprehensive text prompt. In everyday life, dense and intricate text appears in contexts like advertisements, infographics, and signage, where the integration of both text and...2025-02-1418 min

Daily Paper CastProcess Reinforcement through Implicit Rewards 🤗 Upvotes: 44 | cs.LG, cs.AI, cs.CL Authors: Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding Title: Process Reinforcement through Implicit Rewards Arxiv: http://arxiv.org/abs/2502.01456v1 Abstract: Dense process rewards have proven a more effective alternative to the sparse outcome-level rewards in the inference-time scaling of large lan...2025-02-0521 min

Daily Paper CastPreference Leakage: A Contamination Problem in LLM-as-a-judge 🤗 Upvotes: 25 | cs.LG, cs.AI, cs.CL Authors: Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu Title: Preference Leakage: A Contamination Problem in LLM-as-a-judge Arxiv: http://arxiv.org/abs/2502.01534v1 Abstract: Large Language Models (LLMs) as judges and LLM-based data synthesis have emerged as two fundamental LLM-driven data annotation methods in model development. While their combination significantly enhances the efficiency of model training and evaluation, little attention has been given to the potential contamination brought by this new...2025-02-0521 min

TOPIK & Beyond#16: Untranslatable Words and Expressions: Understanding Korean Culture Through LanguageEver come across a Korean word that just doesn’t translate neatly into English? Words like 정 (jeong) or 눈치 (nunchi) carry meanings so deep that a simple translation doesn’t do them justice. In this episode of TOPIK & Beyond, we explore some of these “untranslatable” words and uncover what they reveal about Korean society. You’ll learn: The cultural significance of words like 정, 한, and 눈치. How understanding these expressions can give you an edge on the TOPIK exam, especially in the reading and writing sections. Practical tips for using cultural knowledge to make your TOPIK II essays more thoughtful and nuanced. ...2025-02-0430 min

Daily Paper CastHumanity's Last Exam 🤗 Upvotes: 33 | cs.LG, cs.AI, cs.CL Authors: Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Daron Anderson, Tung Nguyen, Mobeen Mahmood, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Jessica P. Wang, Pawan Kumar, Oleksandr Pokutnyi, Robert Gerbicz, Serguei Popov, John-Clark Levin, Mstyslav Kazakov, Johannes Schmitt, Geoff Galgon, Alvaro Sanchez, Yongki Lee, Will Yeadon, Scott Sauers, Marc Roth, Chidozie Agu, Søren Riis, Fabian Giska, Saiteja Utpa...2025-01-2822 min

Daily Paper CastStep-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback 🤗 Upvotes: 7 | cs.LG, cs.AI Authors: Yen-Ting Lin, Di Jin, Tengyu Xu, Tianhao Wu, Sainbayar Sukhbaatar, Chen Zhu, Yun He, Yun-Nung Chen, Jason Weston, Yuandong Tian, Arash Rahnama, Sinong Wang, Hao Ma, Han Fang Title: Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback Arxiv: http://arxiv.org/abs/2501.10799v1 Abstract: Large language models (LLMs) have recently demonstrated remarkable success in mathematical reasoning. Despite progress in methods like chain-of-thought prompting and self-consistency sampling, these advances often focus on final correctness without ensuring that the underlying reasoning process is coh...2025-01-2521 min

Daily Paper CastDeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning 🤗 Upvotes: 109 | cs.CL, cs.AI, cs.LG Authors: DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Honghui Ding, Hua...2025-01-2421 min

Daily Paper CastKimi k1.5: Scaling Reinforcement Learning with LLMs 🤗 Upvotes: 39 | cs.AI, cs.LG Authors: Kimi Team, Angang Du, Bofei Gao, Bowei Xing, Changjiu Jiang, Cheng Chen, Cheng Li, Chenjun Xiao, Chenzhuang Du, Chonghua Liao, Chuning Tang, Congcong Wang, Dehao Zhang, Enming Yuan, Enzhe Lu, Fengxiang Tang, Flood Sung, Guangda Wei, Guokun Lai, Haiqing Guo, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haotian Yao, Haotian Zhao, Haoyu Lu, Haoze Li, Haozhen Yu, Hongcheng Gao, Huabin Zheng, Huan Yuan, Jia Chen, Jianhang Guo, Jianlin Su, Jianzhou Wang, Jie Zhao, Jin Zhang, Jingyuan Liu, Junjie Yan, Junyan Wu, Lidong Shi, Ling Ye, Longhui Yu, Men...2025-01-2418 min

Daily Paper CastInfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection 🤗 Upvotes: 16 | cs.AI, cs.CL, cs.HC Authors: Yuhang Liu, Pengxiang Li, Zishu Wei, Congkai Xie, Xueyu Hu, Xinchen Xu, Shengyu Zhang, Xiaotian Han, Hongxia Yang, Fei Wu Title: InfiGUIAgent: A Multimodal Generalist GUI Agent with Native Reasoning and Reflection Arxiv: http://arxiv.org/abs/2501.04575v1 Abstract: Graphical User Interface (GUI) Agents, powered by multimodal large language models (MLLMs), have shown great potential for task automation on computing devices such as computers and mobile phones. However, existing agents face challenges in multi-step reasoning and reliance on textual ann...2025-01-1021 min

Bridging PacificFind Your Enterpreneur Spark: Han WangIn this episode, we talk to Han about his immigration story from China to Canada and his entrepreneurial journey from making meme apps to founding Mintlify. 2025-01-091h 13

Daily Paper CastPPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides 🤗 Upvotes: 10 | cs.AI, cs.CL Authors: Hao Zheng, Xinyan Guan, Hao Kong, Jia Zheng, Hongyu Lin, Yaojie Lu, Ben He, Xianpei Han, Le Sun Title: PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides Arxiv: http://arxiv.org/abs/2501.03936v1 Abstract: Automatically generating presentations from documents is a challenging task that requires balancing content quality, visual design, and structural coherence. Existing methods primarily focus on improving and evaluating the content quality in isolation, often overlooking visual design and structural coherence, which limits their practical applicability. To address these limitations, we...2025-01-0922 min

Daily Paper CastMLLM-as-a-Judge for Image Safety without Human Labeling 🤗 Upvotes: 14 | cs.CV, cs.CL, cs.CY, cs.LG Authors: Zhenting Wang, Shuming Hu, Shiyu Zhao, Xiaowen Lin, Felix Juefei-Xu, Zhuowei Li, Ligong Han, Harihar Subramanyam, Li Chen, Jianfa Chen, Nan Jiang, Lingjuan Lyu, Shiqing Ma, Dimitris N. Metaxas, Ankit Jain Title: MLLM-as-a-Judge for Image Safety without Human Labeling Arxiv: http://arxiv.org/abs/2501.00192v1 Abstract: Image content safety has become a significant challenge with the rise of visual media on online platforms. Meanwhile, in the age of AI-generated content (AIGC), many image generation models are capable of...2025-01-0422 min

Daily Paper CastParallelized Autoregressive Visual Generation 🤗 Upvotes: 34 | cs.CV Authors: Yuqing Wang, Shuhuai Ren, Zhijie Lin, Yujin Han, Haoyuan Guo, Zhenheng Yang, Difan Zou, Jiashi Feng, Xihui Liu Title: Parallelized Autoregressive Visual Generation Arxiv: http://arxiv.org/abs/2412.15119v1 Abstract: Autoregressive models have emerged as a powerful approach for visual generation but suffer from slow inference speed due to their sequential token-by-token prediction process. In this paper, we propose a simple yet effective approach for parallelized autoregressive visual generation that improves generation efficiency while preserving the advantages of autoregressive modeling. Our key insight is...2024-12-2422 min

Daily Paper CastSequence Matters: Harnessing Video Models in 3D Super-Resolution 🤗 Upvotes: 6 | cs.CV, 68U10, 68T10, I.4.5; I.2.10 Authors: Hyun-kyu Ko, Dongheok Park, Youngin Park, Byeonghyeon Lee, Juhee Han, Eunbyung Park Title: Sequence Matters: Harnessing Video Models in 3D Super-Resolution Arxiv: http://arxiv.org/abs/2412.11525v3 Abstract: 3D super-resolution aims to reconstruct high-fidelity 3D models from low-resolution (LR) multi-view images. Early studies primarily focused on single-image super-resolution (SISR) models to upsample LR images into high-resolution images. However, these methods often lack view consistency because they operate independently on each image. Although various post-processing techniques have been extensively explored to...2024-12-2422 min

Daily Paper CastThinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces 🤗 Upvotes: 9 | cs.CV Authors: Jihan Yang, Shusheng Yang, Anjali W. Gupta, Rilyn Han, Li Fei-Fei, Saining Xie Title: Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces Arxiv: http://arxiv.org/abs/2412.14171v1 Abstract: Humans possess the visual-spatial intelligence to remember spaces from sequential visual observations. However, can Multimodal Large Language Models (MLLMs) trained on million-scale video datasets also ``think in space'' from videos? We present a novel video-based visual-spatial intelligence benchmark (VSI-Bench) of over 5,000 question-answer pairs, and find that MLLMs exhibit competitive - t...2024-12-2020 min

Daily Paper CastEmergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers 🤗 Upvotes: 9 | cs.CL, cs.AI, cs.LG Authors: Seungwook Han, Jinyeop Song, Jeff Gore, Pulkit Agrawal Title: Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers Arxiv: http://arxiv.org/abs/2412.12276v2 Abstract: Humans distill complex experiences into fundamental abstractions that enable rapid learning and adaptation. Similarly, autoregressive transformers exhibit adaptive learning through in-context learning (ICL), which begs the question of how. In this paper, we propose concept encoding-decoding mechanism to explain ICL by studying how transformers form and use internal abstractions in the...2024-12-1922 min

Dialogues on Applied Channel TheoryEpisode 57: Insights into the Early History of AcupunctureSend us a textIn this episode, Jonathan talks to Dr. Shelley Ochs about recent texts and artifacts excavated from the Han Dynasty tomb in Lao Guan Shan (老官山汉墓), Sichuan Province. She discusses how these findings are related to her PhD research on Bian Que, including his use of a channel based medicine. Later in the episode, Shelley also talks about a figurine with channel pathways discovered in the tombs which gives insights into the development of channels during that period of time. Excavated texts also point to the use of palpation in the discovery of the channels. Link t...2024-12-1334 min

Daily Paper CastLearning Flow Fields in Attention for Controllable Person Image Generation 🤗 Upvotes: 16 | cs.CV Authors: Zijian Zhou, Shikun Liu, Xiao Han, Haozhe Liu, Kam Woh Ng, Tian Xie, Yuren Cong, Hang Li, Mengmeng Xu, Juan-Manuel Pérez-Rúa, Aditya Patel, Tao Xiang, Miaojing Shi, Sen He Title: Learning Flow Fields in Attention for Controllable Person Image Generation Arxiv: http://arxiv.org/abs/2412.08486v2 Abstract: Controllable person image generation aims to generate a person image conditioned on reference images, allowing precise control over the person's appearance or pose. However, prior methods often distort fine-grained textural details from the reference image...2024-12-1321 min

Daily Paper CastThe BrowserGym Ecosystem for Web Agent Research 🤗 Upvotes: 11 | cs.LG, cs.AI, cs.SE Authors: Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin, Massimo Caccia, Léo Boisvert, Megh Thakkar, Tom Marty, Rim Assouel, Sahar Omidi Shayegan, Lawrence Keunho Jang, Xing Han Lù, Ori Yoran, Dehan Kong, Frank F. Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, Alexandre Lacoste Title: The BrowserGym Ecosystem for Web Agent Research Arxiv: http://arxiv.org/abs/2412.05467v3 Abstract: The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those...2024-12-1325 min

Daily Paper CastMomentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction 🤗 Upvotes: 12 | cs.CV Authors: Jixuan Fan, Wanhua Li, Yifei Han, Yansong Tang Title: Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction Arxiv: http://arxiv.org/abs/2412.04887v1 Abstract: 3D Gaussian Splatting has demonstrated notable success in large-scale scene reconstruction, but challenges persist due to high training memory consumption and storage overhead. Hybrid representations that integrate implicit and explicit features offer a way to mitigate these limitations. However, when applied in parallelized block-wise training, two critical issues arise since reconstruction accuracy deteriorates due to reduced data diversity whe...2024-12-1021 min

Daily Paper CastNVILA: Efficient Frontier Visual Language Models 🤗 Upvotes: 36 | cs.CV Authors: Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Vishwesh Nath, Jinyi Hu, Sifei Liu, Ranjay Krishna, Daguang Xu, Xiaolong Wang, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu Title: NVILA: Efficient Frontier Visual Language Models Arxiv: http://arxiv.org/abs/2412.04468v1 Abstract: Visual language models (VLMs) have made significant advances in accuracy in recent years. However, their eff...2024-12-0819 min

Daily Paper CastRethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration 🤗 Paper Upvotes: 14 | cs.CV Authors: Yuhang Han, Xuyang Liu, Pengxiang Ding, Donglin Wang, Honggang Chen, Qingsen Yan, Siteng Huang Title: Rethinking Token Reduction in MLLMs: Towards a Unified Paradigm for Training-Free Acceleration Arxiv: http://arxiv.org/abs/2411.17686v1 Abstract: To accelerate the inference of heavy Multimodal Large Language Models (MLLMs), this study rethinks the current landscape of training-free token reduction research. We regret to find that the critical components of existing methods are tightly intertwined, with their interconnections and effects remaining unclear for comparison, transfer, and expansion. The...2024-11-2822 min

Daily Paper CastDreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation 🤗 Paper Upvotes: 13 | cs.CV, cs.AI, cs.CL Authors: Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal Title: DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation Arxiv: http://arxiv.org/abs/2411.16657v1 Abstract: Storytelling video generation (SVG) has recently emerged as a task to create long, multi-motion, multi-scene videos that consistently represent the story described in the input text script. SVG holds great potential for diverse content creation in media and entertainment; however, it also presents significant challenges: (1) objects must exhibit a range of fin...2024-11-2722 min

Daily Paper CastVideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection 🤗 Paper Upvotes: 9 | cs.CV, cs.AI, cs.CL Authors: Songhao Han, Wei Huang, Hairong Shi, Le Zhuo, Xiu Su, Shifeng Zhang, Xu Zhou, Xiaojuan Qi, Yue Liao, Si Liu Title: VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection Arxiv: http://arxiv.org/abs/2411.14794v1 Abstract: The advancement of Large Vision Language Models (LVLMs) has significantly improved multimodal understanding, yet challenges remain in video reasoning tasks due to the scarcity of high-quality, large-scale datasets. Existing video question-answering (VideoQA) datasets often rely on costly man...2024-11-2621 min

Daily Paper CastBlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices 🤗 Paper Upvotes: 31 | cs.CV, cs.CL Authors: Xudong Lu, Yinghao Chen, Cheng Chen, Hui Tan, Boheng Chen, Yina Xie, Rui Hu, Guanxin Tan, Renshou Wu, Yan Hu, Yi Zeng, Lei Wu, Liuyang Bian, Zhaoxiong Wang, Long Liu, Yanzhou Yang, Han Xiao, Aojun Zhou, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li Title: BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices Arxiv: http://arxiv.org/abs/2411.10640v1 Abstract: The emergence and growing popularity of multimodal large language models (MLLMs) have significant potential to...2024-11-2019 min

Daily Paper CastSearch, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering 🤗 Paper Upvotes: 13 | cs.AI, cs.CL, stat.ML Authors: Xinyan Guan, Yanjiang Liu, Xinyu Lu, Boxi Cao, Ben He, Xianpei Han, Le Sun, Jie Lou, Bowen Yu, Yaojie Lu, Hongyu Lin Title: Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Arxiv: http://arxiv.org/abs/2411.11504v1 Abstract: The evolution of machine learning has increasingly prioritized the development of powerful models and more scalable supervision signals. However, the emergence of foundation models presents significant challenges in providing effective supervision signals necessary for...2024-11-2021 min

Daily Paper CastSharingan: Extract User Action Sequence from Desktop Recordings 🤗 Paper Upvotes: 3 | cs.CV, cs.AI Authors: Yanting Chen, Yi Ren, Xiaoting Qin, Jue Zhang, Kehong Yuan, Lu Han, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang Title: Sharingan: Extract User Action Sequence from Desktop Recordings Arxiv: http://arxiv.org/abs/2411.08768v1 Abstract: Video recordings of user activities, particularly desktop recordings, offer a rich source of data for understanding user behaviors and automating processes. However, despite advancements in Vision-Language Models (VLMs) and their increasing use in video analysis, extracting user actions from desktop recordings remains an underexplored are...2024-11-1622 min

The Master of Demon Gorge: A Chinese History PodcastWang Bo and the Preface to the Pavilion of Prince TengRegarding the Tang Dynasty writer and his most famous essay.Support the show 2024-11-1417 min

Daily Paper CastStdGEN: Semantic-Decomposed 3D Character Generation from Single Images 🤗 Paper Upvotes: 10 | cs.CV Authors: Yuze He, Yanning Zhou, Wang Zhao, Zhongkai Wu, Kaiwen Xiao, Wei Yang, Yong-Jin Liu, Xiao Han Title: StdGEN: Semantic-Decomposed 3D Character Generation from Single Images Arxiv: http://arxiv.org/abs/2411.05738v1 Abstract: We present StdGEN, an innovative pipeline for generating semantically decomposed high-quality 3D characters from single images, enabling broad applications in virtual reality, gaming, and filmmaking, etc. Unlike previous methods which struggle with limited decomposability, unsatisfactory quality, and long optimization times, StdGEN features decomposability, effectiveness and efficiency; i.e., it generates int...2024-11-1221 min

Daily Paper CastNeedle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks? 🤗 Paper Upvotes: 14 | cs.CL Authors: Jonathan Roberts, Kai Han, Samuel Albanie Title: Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks? Arxiv: http://arxiv.org/abs/2411.05000v1 Abstract: As the context limits of Large Language Models (LLMs) increase, the range of possible applications and downstream functions broadens. In many real-world tasks, decisions depend on details scattered across collections of often disparate documents containing mostly irrelevant information. Long-context LLMs appear well-suited to this form of complex information retrieval and reasoning, which has traditionally proven costly and time-consuming. However, alt...2024-11-0922 min

Daily Paper CastDeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution 🤗 Paper Upvotes: 10 | cs.RO, cs.AI, cs.LG Authors: Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang Title: DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution Arxiv: http://arxiv.org/abs/2411.02359v1 Abstract: MLLMs have demonstrated remarkable comprehension and reasoning capabilities with complex language and visual data. These advances have spurred the vision of establishing a generalist robotic MLLM proficient in understanding complex human instructions and accomplishing various embodied tasks. However, developing MLLMs for real-world rob...2024-11-0719 min

Daily Paper CastGarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details 🤗 Paper Upvotes: 3 | cs.CV, cs.GR Authors: Zhongjin Luo, Haolin Liu, Chenghong Li, Wanghao Du, Zirong Jin, Wanhu Sun, Yinyu Nie, Weikai Chen, Xiaoguang Han Title: GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details Arxiv: http://arxiv.org/abs/2411.03047v1 Abstract: Neural implicit functions have brought impressive advances to the state-of-the-art of clothed human digitization from multiple or even single images. However, despite the progress, current arts still have difficulty generalizing to unseen images with complex cloth deformation and...2024-11-0719 min

Daily Paper CastHunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent 🤗 Paper Upvotes: 16 | cs.CL, cs.AI Authors: Xingwu Sun, Yanfeng Chen, Yiqing Huang, Ruobing Xie, Jiaqi Zhu, Kai Zhang, Shuaipeng Li, Zhen Yang, Jonny Han, Xiaobo Shu, Jiahao Bu, Zhongzhi Chen, Xuemeng Huang, Fengzong Lian, Saiyong Yang, Jianfeng Yan, Yuyuan Zeng, Xiaoqin Ren, Chao Yu, Lulu Wu, Yue Mao, Jun Xia, Tao Yang, Suncong Zheng, Kan Wu, Dian Jiao, Jinbao Xue, Xipeng Zhang, Decheng Wu, Kai Liu, Dengpeng Wu, Guanghui Xu, Shaohua Chen, Shuang Chen, Xiao Feng, Yigeng Hong, Junqiang Zheng, Chengcheng Xu, Zongwei Li, Xiong Kuang, Jianglu Hu, Yiqi Chen, Yuchi Deng, Guiyang Li, Ao Liu...2024-11-0618 min

1 ting ad gangen - Naturvidenskab skåret ud i papDen store bioquizSå er det Tobias' tur til at quizze Villads. Om han vil det eller ej. Har Villads lyttet efter de sidste par år vi har lavet podcast? Eller har han glemt det hele? Find ud af det i dagens afsnit, hvor I også kan gætte med derhjemme! Support the showVærter: Villads Lundsteen Jacobsen og Tobias Wang BjergHjemmeside: https://1tingadgangen.buzzsprout.com/Facebook: https://www.facebook.com/1tingadgangen/Instagram: https://www.instagram.com/1tingadgangen/ 2024-09-2631 min

1 ting ad gangen - Naturvidenskab skåret ud i papDen store fysikquizDenne gang tester jeg Tobias' fysik viden for at se, om han virkelig har lært noget gennem de sidste 4 år som medvært på 1 ting ad gangen. Kan du klare quizzen? Lyt med og gæt sammen med TobiasSupport the showVærter: Villads Lundsteen Jacobsen og Tobias Wang BjergHjemmeside: https://1tingadgangen.buzzsprout.com/Facebook: https://www.facebook.com/1tingadgangen/Instagram: https://www.instagram.com/1tingadgangen/ 2024-09-1234 min

Signal and TraceThe Future of Developer Documentation - Han Wang from MintlifyIn this episode, we sit down with Han from Mintlify (mintlify.com) to explore how they’re revolutionizing developer documentation with a focus on interactivity and accessibility. Han shares insights into the challenges of creating tools that enhance developer productivity while ensuring ease of use. We also dive into the future of documentation and how Mintlify is paving the way for more intuitive developer experiences! To learn more, take a look at the following! - https://mintlify.com - https://x.com/mintlify - https://x.com/handotdev 2024-09-0640 min

1 ting ad gangen - Naturvidenskab skåret ud i papDen Famøse Richard FeynmanI denne episode dykker vi ned i livet og karrieren hos en af verdens mest fascinerende og karismatiske fysikere, Richard Feynman. Kendt for sin rolle i udviklingen af atombomben under Manhattan-projektet og som central figur i undersøgelsen af Challenger-katastrofen, har Feynman efterladt et uudsletteligt præg på videnskaben. Hans bedrifter og anekdoter kunne fylde flere bøger – og det har de også gjort. Men i dag ser vi nærmere på personen bag geniet og udforsker det liv, som gjorde Richard Feynman til den ekstraordinære mand, han var.Support the showVærter: Villads L...2024-09-051h 01

The Master of Demon Gorge: A Chinese History PodcastWang Yangming, PhilosopherThe story of the deeply influential Ming Dynasty philosopher.Support the show 2024-08-1528 min

Scaling DevToolsGreat documentation with Han Wang from MintlifyHan Wang is co-founder of Mintlify - modern, out the box documentation.In this episode, Han shares the story of Mintlify and how to make great docs.We even talk about the time Paul Graham told them to change their name.What we cover:- the origin story of Mintlify- what is good documentation- the process of documentation- how AI is affecting documentation- why PG told them to change their nameLinks:- Han https://han.dev/- Mintlify https...2024-08-0139 min

China Business Law PodcastExamining Financial Services Liberalization in China with Yin GeConnect with Yin GeVisit Han KunConnect with Art Dicker Examining Financial Services Liberalization in China: Insights from Yin Ge of Han Kun Law FirmWelcome to another vibrant episode of the China Business Law Podcast! In this episode, host Art Dicker sits down with Yin Ge, a partner at the renowned Han Kun law firm, to discuss the ongoing liberalization of the financial services and asset management industry in China. Yin Ge, with her extensive experience and accolades in the field, shares her expert insights on the e...2024-07-1237 min

1 ting ad gangen - Naturvidenskab skåret ud i papKan dit hoved forlænge rækkevidden på din bilnøgle?På Tobias' ferie opdagede han, at hvis han holdt sin bilnøgle til hovedet, så var rækkevidden længere. Denne myte har du måske hørt før, da den har cirkuleret i samfundet i mange år. Men er det rigtigt? Det handler afsnittet om i dag. Links til mere information:Privat persons egne målinger på effekten"Why does light bend when it enters glass?" youtubeSupport the showVærter: Villads Lundsteen Jacobsen og Tobias Wang BjergHjemmeside: https://1tingadgangen.buzzsprout.com/Facebook...2024-07-1146 min

1 ting ad gangen - Naturvidenskab skåret ud i papEinsteins Relativitetsteori: Første skridt mod tidsrejserDyk ned i verdenskendte fysiker Albert Einsteins teorier om relativitet og udforsk nogle de fascinerende tankeeksperimenter han brugte til at argumentere for hans teori i 1905.Forestil dig en foton, der hopper mellem to spejle på et tog i bevægelse, set fra to perspektiver: en person på toget og en observatør udenfor. Hvad sker der med lysets hastighed?Mere info til Nørden: Sartori, L. (1996). Understanding relativity: a simplified approach to Einstein's theories. Univ of California Press. Support the showVærter: Villads Lundsteen Jacobsen og Tobias W...2023-11-1635 min

M POPWang Xiao-fei (汪小菲)(Taiwan, ROC) --- Wang Xiao-fei (汪小菲) (lahir 27 Juni 1981 memiliki nama asli Wang Shao-fei (汪少菲) adalah seorang pengusaha dari daratan Tiongkok. Ia pernah menjabat sebagai Presiden dan Direktur Eksekutif Grup Restoran South Beauty Catering Management Group (俏江南). Saat ini, dirinya menjabat sebagai Direktur restoran Ma Liu Ji (麻六記). Lahir di Beijing, Wang Xiao-fei berangkat ke Prancis untuk melanjutkan pendidikan saat berusia 15 tahun. Setelah 6 tahun, ia lulus dari jurusan Desain di Sekolah Tinggi Ekonomi dan Bisnis di Prancis, lalu melanjutkan pendidikan MBA di bidang Manajemen Hotel di Universitas Lakehead, Kanada. Ia kembali ke Beijing pada akhir 2004. Pekerjaan pertamanya adalah sebagai Direktur Eksekutif Grup Restoran So...2023-10-2200 min

1 ting ad gangen - Naturvidenskab skåret ud i papOppenheimer: Geniet Bag AtombombenUdforsk J. Robert Oppenheimers fascinerende livsrejse fra hans tidlige interesser i mineralogi til at blive en central figur i Manhattan-projektet. Lær om hans videnskabelige bedrifter, de etiske dilemmaer han stod overfor, og hans komplekse arv Mere info til nørdenSurley you are Joking Mr Feynman - Ralph LeightonStoryville - The Trials Of Oppenheimer - BBC History DocumentarySupport the showSupport the showVærter: Villads Lundsteen Jacobsen og Tobias Wang BjergHjemmeside: https://1tingadgangen.buzzsprout.com/Facebook: https://www.facebook.com...2023-06-2953 min