Yejin Choi
Dieter Schwarz Foundation Professor of Computer Science, Senior Fellow at the Stanford Institute for Human-Centered AI
Studies large language models, commonsense reasoning and the limits of language model generalization.
Yejin Choi's lab at Stanford works on large language models, reasoning & agents and learning theory & optimization. 170 papers since 2023, 102 at top venues, mostly ICLR and ICML. 7 PhD students. 63 alumni, most often to Anthropic and Meta. Applications close .
At a glance
- papers, 2023–2026
- 44/ year
- at T1 venues
- 60%
- PhD students
- 7
- MS students
- 0
- alumni listed
- 63
Papers by yearfrom the lab homepage, 2023–2026
- 40 papers2026 · T1 29 · collecting
- 50 papers2025 · T1 26
- 42 papers2024 · T1 25
- 38 papers2023 · T1 22
T1 venuesOtherVenues: ICLR, ICML, EMNLP, ACL, NeurIPS
Research focuspaper titles that use each topic's words
- Large language models77 papers
- Reasoning & agents30 papers
- Learning theory & optimization23 papers
- limits3 papers
- studies large0 papers
Paper list
From the lab homepage.
202640 papers
- ICLR (T1)Activation Steering for LLM Alignment via a Unified ODE-Based Framework (opens in a new tab)
- ICML (T1)BroRL: Scaling Reinforcement Learning via Broadened Exploration (opens in a new tab)
- ICML (T1)Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models (opens in a new tab)
- COLMData-efficient pre-training by scaling synthetic megadocs (opens in a new tab)
- KDD AI4Science TrackDeciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction (opens in a new tab)
- ICLR (T1)DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search (opens in a new tab)
- EMNLP (T1)FDARxBench: Benchmarking Regulatory and Clinical Reasoning on FDA Generic Drug Assessment (opens in a new tab)
- ICLR (T1)Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data (opens in a new tab)
- ICML (T1)GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization (opens in a new tab)
- ICLR (T1)Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction (opens in a new tab)
- ICML (T1)Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text (opens in a new tab)
- COLMHieraSuite: A Holistic Toolkit for Building Versatile System-User Instruction Hierarchy
202550 papers
- ICLR OralAI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text (opens in a new tab)
- NeurIPS (T1)AI Debate Aids Assessment of Controversial Claims (opens in a new tab)
- NAACL (T1)Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs (opens in a new tab)
- NeurIPS Datasets and Benchmarks -- Best Paper AwardArtificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond) (opens in a new tab)
- ICLR (T1)Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset (opens in a new tab)
- TMLR (T1)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (opens in a new tab)
- ICCV (T1)Bias in Gender Bias Benchmarks: How Confounding Features Distort Evaluation (opens in a new tab)
- ACL (T1)Biased LLMs can Influence Political Decision-Making (opens in a new tab)
- NeurIPS SpotlightBroken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations (opens in a new tab)
- ACL (T1)Can Language Models Reason about Individualistic Human Values and Preferences? (opens in a new tab)
- ICLR (T1)CertainlyUncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness (opens in a new tab)
- NeurIPS Competition TrackChallenge on LLMs for Embodied Agents (opens in a new tab)
202442 papers
- NeurIPS Datasets and Benchmarks TrackActionAtlas: A VideoQA Benchmark for Fine-grained Action Recognition (opens in a new tab)
- ACL (T1)Agent Lumos: Unified and Modular Training for Open-Source Language Agents (opens in a new tab)
- ICLR SpotlightCan LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory (opens in a new tab)
- ACL (T1)Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs (opens in a new tab)
- EACLClever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models (opens in a new tab)
- EMNLP (T1)CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation (opens in a new tab)
- COLMCULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting (opens in a new tab)
- NeurIPS (T1)Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions (opens in a new tab)
- COLMDo Membership Inference Attacks Work on Large Language Models? (opens in a new tab)
- COLMDon't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding (opens in a new tab)
- TMLR (T1)Foundational Challenges in Assuring Alignment and Safety of Large Language Models (opens in a new tab)
- EMNLP (T1)How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models (opens in a new tab)
202338 papers
- EMNLP Findings"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation (opens in a new tab)
- EMNLP (T1)🍺 Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning (opens in a new tab)
- ACL (T1)An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons (opens in a new tab)
- ACL (T1)Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales (opens in a new tab)
- EMNLP FindingsBotPercent: Estimating Bot Populations in Twitter Communities (opens in a new tab)
- ICCV (T1)CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos (opens in a new tab)
- ACL (T1)ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations (opens in a new tab)
- ACL FindingsCommonsense Knowledge Transfer for Pre-trained Language Models (opens in a new tab)
- EMNLP (T1)Crystal: Introspective Reasoners Reinforced with Self-Feedback/a> (opens in a new tab)
- ACL (T1)Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts (opens in a new tab)
- ACL -- Best Paper AwardDo Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest (opens in a new tab)
- ICML (T1)Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making using Language Guided World Modelling (opens in a new tab)
Where alumni went63 listed, 38% to industry
Industry 20Academia 33
Most often to
- Anthropic
- Meta
Also to
- Carnegie Mellon University
- Stanford University
- Cornell University
Apply to StanfordFall 2027
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