Yasuhisa Fujii
Yasuhisa Fujii has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning; often with Chen-Yu Lee, Chun-Liang Li, Tomas Pfister.
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📄 2 works in our library · 🔗 Cited 477 times in our library · ⭐ Paper Stars ranking: #3157
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksLanguage and Linguistics · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksMathematics · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work
Works by year
2020s
Papers
- Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes (2023 · 690 citations)
Small task-specific models are cheap to serve, but they usually need many human labels (finetuning) or large pools of unlabeled data (distillation from an LLM) to approach LLM quality. - Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding (2024 · 105 citations)
Large language models can answer questions about tables and check claims against them. However, common reasoning methods record intermediate steps either as plain text (Chain-of-Thought) or as one generated program such as SQL. Both approaches struggle with messy tables, for example when a single cell combines a name…
Co-authors here
- Chen-Yu Lee ×2
- Chun-Liang Li ×2
- Tomas Pfister ×2
- Alexander Ratner
- Cheng-Yu Hsieh
- Hao Zhang
- Hootan Nakhost
- Jingbo Shang
- Julian Eisenschlos
- Lesly Miculicich
- Ranjay Krishna
- Vincent Perot
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
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