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- Year in Review
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March 14, 2024
Cappy: Outperforming and boosting large multi-task language models with a small scorer -
March 11, 2024
Chain-of-table: Evolving tables in the reasoning chain for table understanding -
March 7, 2024
Social learning: Collaborative learning with large language models -
January 11, 2024
Can large language models identify and correct their mistakes? -
November 2, 2023
Zero-shot adaptive prompting of large language models -
October 26, 2023
Spoken question answering and speech continuation using a spectrogram-powered LLM -
October 13, 2023
Batch calibration: Rethinking calibration for in-context learning and prompt engineering -
September 21, 2023
Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes -
August 30, 2023
Modeling and improving text stability in live captions -
August 24, 2023
Teaching language models to reason algorithmically -
August 9, 2023
Advances in document understanding -
July 13, 2023
Symbol tuning improves in-context learning in language models