Noah Shinn
τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan International Conference on Learning Representations (ICLR) 2025 paper | code Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions Federico Cassano, Luisa Li, Akul Sethi, Noah Shinn, Abby Brennan-Jones, Edward Berman, George Chakhnashvili, Anton Lozhkov, Carolyn Anderson, Arjun Guha Conference on Language Modeling (COLM) 2024 paper | code Type Prediction With Program Decomposition and Fill-in-the-Type Training Federico Cassano, Ming-Ho Yee, Noah Shinn, Arjun Guha, Steven Holtzen paper | code Reflexion: Language Agents with Verbal Reinforcement Learning Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao Neural Information Processing Systems (NeurIPS) 2023 paper | code
τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains Shunyu Yao, Noah Shinn, Pedram Razavi, Karthik Narasimhan International Conference on Learning Representations (ICLR) 2025 paper | code Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions Federico Cassano, Luisa Li, Akul Sethi, Noah Shinn, Abby Brennan-Jones, Edward Berman, George Chakhnashvili, Anton Lozhkov, Carolyn Anderson, Arjun Guha Conference on Language Modeling (COLM) 2024 paper | code Type Prediction With Program Decomposition and Fill-in-the-Type Training…
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