arXiv research summaries for Computation and Language from October 28, 2023. You can find summaries and links to each article here.
Today's research themes (AI summary)
- Improving efficiency and reducing computational costs of large language models through methods like early exiting and knowledge distillation.
- Developing new datasets and models for low-resource languages and cross-lingual transfer, including for tasks like speech recognition and machine translation.
- Detecting and mitigating biases in language models, including human-like biases that propagate from pre-trained models to downstream tasks like speech emotion recognition.
- Advancing narrative and relational understanding capabilities of language models through new tasks, datasets and modular approaches.
- Enhancing reasoning across modalities in language models, with a focus on integrating visual information from images with text for knowledge extraction and medical question answering.
