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Bill Yuchen Lin

University of Washington, Seattle, WA, USA

27 papers at tracked venues · 18 at CORE A* · active 2024–2026

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Venues

ACL ×9NAACL ×7ICLR ×4EMNLP ×2NeurIPS ×2AAAI ×1CVPR ×1ICML ×1

Frequent coauthors

Zhangchen Xu
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Yuetai Li
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Fengqing Jiang
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Seungone Kim
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Yifan Song
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Yu Ying Chiu
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Abhilasha Ravichander
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Yutaro Yamada
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Seonghyeon Ye
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Nathan Lambert
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Qi Jia
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Lei Li
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Papers

  1. Temporal Sampling for Forgotten Reasoning in LLMs
    ACL 2026 ·
    Yuetai Li
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  2. ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates
    AAAI 2025 ·
    Fengqing Jiang
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  3. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming
    ACL 2025 ·
    Yu Ying Chiu
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  4. Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
    NAACL 2025 ·
    Abhilasha Ravichander
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  5. L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects
    NAACL 2025 ·
    Yutaro Yamada
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  6. Latent Action Pretraining from Videos
    ICLR 2025 ·
    Seonghyeon Ye
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  7. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
    ICLR 2025 ·
    Zhangchen Xu
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  8. RewardBench: Evaluating Reward Models for Language Modeling
    NAACL 2025 ·
    Nathan Lambert
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  9. SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities
    ACL 2025 ·
    Fengqing Jiang
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  10. SimulBench: Evaluating Language Models with Creative Simulation Tasks
    NAACL 2025 ·
    Qi Jia
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  11. Small Models Struggle to Learn from Strong Reasoners
    ACL 2025 ·
    Yuetai Li
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  12. Stronger Models are Not Always Stronger Teachers for Instruction Tuning
    NAACL 2025 ·
    Zhangchen Xu
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  13. The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
    NAACL 2025 ·
    Seungone Kim
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  14. The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
    NAACL 2025 ·
    Yifan Song
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  15. VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
    CVPR 2025 ·
    Lei Li
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  16. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
    ICLR 2025 · Bill Yuchen Lin
  17. ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
    ICML 2025 · Bill Yuchen Lin
  18. Agent Lumos: Unified and Modular Training for Open-Source Language Agents
    ACL 2024 ·
    Da Yin
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  19. OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
    ACL 2024 ·
    Tianyu Zheng
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  20. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
    EMNLP 2024 ·
    Seungone Kim
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  21. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
    ACL 2024 ·
    Zhangchen Xu
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  22. Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
    ACL 2024 ·
    Tejas Srinivasan
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  23. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
    ICLR 2024 · Bill Yuchen Lin
  24. Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents
    ACL 2024 ·
    Yifan Song
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  25. VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation
    EMNLP 2024 ·
    Xuan He
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  26. WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
    NeurIPS 2024 ·
    Seungju Han
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  27. WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
    NeurIPS 2024 ·
    Yujie Lu
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