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Bill Yuchen Lin

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RewardBench: Evaluating Reward Models for Language Modeling

Mar 20, 2024
Nathan Lambert, Valentina Pyatkin, Jacob Morrison, LJ Miranda, Bill Yuchen Lin, Khyathi Chandu, Nouha Dziri, Sachin Kumar, Tom Zick, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi

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Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

Mar 04, 2024
Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin

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OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Feb 28, 2024
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue

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SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding

Feb 24, 2024
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran

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Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning

Feb 23, 2024
Tejas Srinivasan, Jack Hessel, Tanmay Gupta, Bill Yuchen Lin, Yejin Choi, Jesse Thomason, Khyathi Raghavi Chandu

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NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation

Dec 10, 2023
Peter West, Ronan Le Bras, Taylor Sorensen, Bill Yuchen Lin, Liwei Jiang, Ximing Lu, Khyathi Chandu, Jack Hessel, Ashutosh Baheti, Chandra Bhagavatula, Yejin Choi

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The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Dec 04, 2023
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar, Khyathi Chandu, Chandra Bhagavatula, Yejin Choi

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Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Nov 09, 2023
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin

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