Description

Pronouncing "ColBERT", the origins of ColBERT, doing NLP from an IR perspective, how getting "scooped" can be productive, OpenQA and related tasks, PhD journeys, why even retrieval plus attention is not all you need, multilingual knowledge-intensive NLP, and aiming high in research projects.

Transcript: https://web.stanford.edu/class/cs224u/podcast/khattab/

• Omar's website
• Matei Zaharia
• Keshav Santhanam
• Steven Colbert thowing paper with Obama
• The ColBERT paper and the ColBERTv2 paper
• DeepImpact: Learning passage impacts for inverted indexes
• DPR: Dense passage retrieval for open-domain question answering
• Incorporating query term independence assumption for efficient retrieval and ranking using deep neural networks
• DeepCT: Context-aware sentence/passage term importance estimation for first stage retrieval
• Reading Wikipedia to answer open-domain questions
• ORQA: Latent retrieval for weakly supervised open domain question answering
• QRECC
• ColBERT-QA: Relevance-guided Supervision for OpenQA with ColBERT
• Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval
• Passage reranking with BERT
• UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
• Self-driving search engines: The neural hype and comparisons against weak baselines
• Mohammad Hammoud
• RAG: Retrieval-augmented generation for knowledge-intensive NLP tasks
• Hindsight: Posterior-guided training of retrievers for improved open-ended generation
• Learning Cross-Lingual IR from an English Retriever
• Blog post: A moderate proposal for radically better AI-powered Web search
• Blog post: Building scalable, explainable, and adaptive NLP models with retrieval
• XOR-TyDi