PPaperPicks

Yejin Choi

Stanford University, Department of Computer Science and Institute for Human-Centered AI (HAI), Stanford, CA, USA

79 papers at tracked venues · 57 at CORE A* · active 2024–2026

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Venues

ICLR ×18NeurIPS ×16ACL ×11EMNLP ×11NAACL ×10ICML ×7CVPR ×2ICCV ×2AAAI ×1EACL ×1

Frequent coauthors

Jillian Fisher
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Shangbin Feng
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Liwei Jiang
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Jaehun Jung
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Bill Yuchen Lin
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Yusuke Hirota
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Yu Ying Chiu
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Melanie Sclar
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Abhilasha Ravichander
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Seungone Kim
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Siyuan Wang
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Faeze Brahman
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Papers

  1. Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning
    EACL 2026 ·
    Syeda Nahida Akter
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  2. When One LLM Drools, Multi-LLM Collaboration Rules
    ACL 2026 ·
    Shangbin Feng
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  3. AI Debate Aids Assessment of Controversial Claims
    NeurIPS 2025 ·
    Salman Rahman
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  4. AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text
    ICLR 2025 ·
    Ximing Lu
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  5. ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs
    NAACL 2025 ·
    Aly M. Kassem
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  6. Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
    NeurIPS 2025 ·
    Liwei Jiang
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  7. BLIP-3: A Family of Open Large Multimodal Models
    ICCV 2025 ·
    Le Xue
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  8. Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
    ICLR 2025 ·
    Yingzi Ma
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  9. Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
    ICCV 2025 ·
    Yusuke Hirota
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  10. Biased LLMs can Influence Political Decision-Making
    ACL 2025 ·
    Jillian Fisher
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  11. Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
    NeurIPS 2025 ·
    Brian Siyuan Zheng
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  12. Can Language Models Reason about Individualistic Human Values and Preferences?
    ACL 2025 ·
    Liwei Jiang
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  13. CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness
    ICLR 2025 ·
    Khyathi Raghavi Chandu
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  14. 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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  15. DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
    ICLR 2025 ·
    Yu Ying Chiu
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  16. Diverging Preferences: When do Annotators Disagree and do Models Know?
    ICML 2025 ·
    Michael J. Q. Zhang
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  17. Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning
    ICLR 2025 ·
    Melanie Sclar
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  18. Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications
    ACL 2025 ·
    Traian Rebedea
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  19. HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
    ACL 2025 ·
    Abhilasha Ravichander
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  20. Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index
    EMNLP 2025 ·
    Hao Xu
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  21. Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
    NAACL 2025 ·
    Abhilasha Ravichander
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  22. L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects
    NAACL 2025 ·
    Yutaro Yamada
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  23. LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences
    ACL 2025 ·
    Yusuke Hirota
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  24. Language Model Alignment in Multilingual Trolley Problems
    ICLR 2025 ·
    Zhijing Jin
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  25. Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy and Research
    NeurIPS 2025 ·
    A. Feder Cooper
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  26. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
    ICLR 2025 ·
    Zhangchen Xu
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  27. Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning
    EMNLP 2025 ·
    Chan Young Park
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  28. Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
    ICML 2025 ·
    Shangbin Feng
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  29. OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
    ACL 2025 ·
    Jiacheng Liu
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  30. One-Minute Video Generation with Test-Time Training
    CVPR 2025 ·
    Karan Dalal
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  31. Position: Political Neutrality in AI Is Impossible - But Here Is How to Approximate It
    ICML 2025 ·
    Jillian Fisher
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  32. Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning
    NeurIPS 2025 ·
    Jaehun Jung
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  33. ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
    NeurIPS 2025 ·
    Mingjie Liu
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  34. RewardBench: Evaluating Reward Models for Language Modeling
    NAACL 2025 ·
    Nathan Lambert
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  35. SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
    ICML 2025 ·
    Jing-Jing Li
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  36. Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions
    EMNLP 2025 ·
    David Acuna
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  37. Synthetic Visual Genome
    CVPR 2025 ·
    Jae Sung Park
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  38. The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
    NAACL 2025 ·
    Seungone Kim
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  39. Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
    ICLR 2025 ·
    Jaehun Jung
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  40. VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents
    NeurIPS 2025 ·
    Kangrui Wang
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  41. Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
    NeurIPS 2025 ·
    Yiyou Sun
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  42. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
    ICLR 2025 ·
    Bill Yuchen Lin
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  43. ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
    ICML 2025 ·
    Bill Yuchen Lin
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  44. ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition
    NeurIPS 2024 ·
    Mohammadreza Salehi
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  45. Agent Lumos: Unified and Modular Training for Open-Source Language Agents
    ACL 2024 ·
    Da Yin
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  46. Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
    ICLR 2024 ·
    Niloofar Mireshghallah
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  47. Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs
    ACL 2024 ·
    Siyuan Wang
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  48. CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
    EMNLP 2024 ·
    Tong Chen
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  49. Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions
    NeurIPS 2024 ·
    Jonathan Hayase
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  50. How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models
    EMNLP 2024 ·
    Jaeyoung Lee
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  51. Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model
    NAACL 2024 ·
    Jaehun Jung
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  52. In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
    EMNLP 2024 ·
    Huihan Li
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  53. JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models
    NAACL 2024 ·
    Jillian Fisher
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  54. MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens
    NeurIPS 2024 ·
    Anas Awadalla
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  55. MacGyver: Are Large Language Models Creative Problem Solvers?
    NAACL 2024 ·
    Yufei Tian
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  56. Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
    EMNLP 2024 ·
    Shangbin Feng
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  57. NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge
    NAACL 2024 ·
    Phillip Howard
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  58. Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
    EMNLP 2024 ·
    Chani Jung
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  59. Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
    ICLR 2024 ·
    Linlu Qiu
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  60. PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
    ICLR 2024 ·
    Faeze Brahman
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  61. Position: A Roadmap to Pluralistic Alignment
    ICML 2024 ·
    Taylor Sorensen
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  62. Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
    ICLR 2024 ·
    Seungone Kim
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  63. Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
    ICLR 2024 ·
    Melanie Sclar
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  64. Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
    ACL 2024 ·
    Tejas Srinivasan
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  65. Structured Chemistry Reasoning with Large Language Models
    ICML 2024 ·
    Siru Ouyang
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  66. StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
    EMNLP 2024 ·
    Jillian Fisher
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  67. Symbolic Working Memory Enhances Language Models for Complex Rule Application
    EMNLP 2024 ·
    Siyuan Wang
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  68. Tailoring Self-Rationalizers with Multi-Reward Distillation
    ICLR 2024 ·
    Sahana Ramnath
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  69. The Art of Saying No: Contextual Noncompliance in Language Models
    NeurIPS 2024 ·
    Faeze Brahman
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  70. The Generative AI Paradox: "What It Can Create, It May Not Understand"
    ICLR 2024 ·
    Peter West
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  71. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
    ICLR 2024 ·
    Bill Yuchen Lin
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  72. UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations
    NAACL 2024 ·
    Wenting Zhao
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  73. Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
    NeurIPS 2024 ·
    Hamish Ivison
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  74. Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
    AAAI 2024 ·
    Taylor Sorensen
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  75. WildChat: 1M ChatGPT Interaction Logs in the Wild
    ICLR 2024 ·
    Wenting Zhao
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  76. WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs
    NeurIPS 2024 ·
    Seungju Han
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  77. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
    NeurIPS 2024 ·
    Liwei Jiang
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  78. WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild
    EMNLP 2024 ·
    Yuntian Deng
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  79. WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences
    NeurIPS 2024 ·
    Yujie Lu
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