YC
Yejin Choi
cs.CLcs.AIcs.LGcs.CVcs.CYcs.HCcs.IRstat.MLcs.ROq-bio.BM
On Valency
published · living versionsW_62rs3ws9·v1 · currentpublished
ProteoCraft: Protein Design as Proposal-Verification Search
with Fang Wu, Hongbin Lin, Bingchen Duan, Yuchen Wang +22
1 version
Preprints & journals
265 papers in the corpus · 2011–2026Intuitions of compromise: Utilitarianism, egalitarianism, contractualism.42759227 · Moore, Jared, Choi, Yejin, Levine, Sydney2026 · 0 citationsCognition. 2027;278:106694
Deciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction2606.23830v1 · Fang Wu, Weihao Xuan, Jure Leskovec et al.2026 · 0 citationsKDD 2026 AI4Science
SurfDesign: Effective Protein Design on Molecular Surfaces2606.07567v1 · Fang Wu, Shuting Jin, Xiangru Tang et al.2026 · 0 citationsKDD 2026 AI4Science
Towards Execution-Grounded Automated AI Research2601.14525v1 · Chenglei Si, Zitong Yang, Yejin Choi et al.2026 · 0 citationsarXiv
Long Grounded Thoughts: Synthesizing Visual Problems and Reasoning Chains at Scale2511.05705v2 · David Acuna, Chao-Han Huck Yang, Yuntian Deng et al.2025 · 0 citationsarXiv
ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning2510.27492v3 · Jiawei Gu, Yunzhuo Hao, Huichen Will Wang et al.2025 · 0 citationsarXiv
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning2510.15110v1 · Shih-Yang Liu, Xin Dong, Ximing Lu et al.2025 · 0 citationsarXiv
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?2510.01571v1 · Hanqun Cao, Hongrui Zhang, Junde Xu et al.2025 · 1 citationarXiv
BroRL: Scaling Reinforcement Learning via Broadened Exploration2510.01180v1 · Jian Hu, Mingjie Liu, Ximing Lu et al.2025 · 0 citationsarXiv
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search2509.25454v4 · Fang Wu, Weihao Xuan, Heli Qi et al.2025 · 0 citationsarXiv
A deep reinforcement learning platform for antibiotic discovery.41040195 · Cao, Hanqun, Torres, Marcelo D T, Zhang, Jingjie et al.2025 · 9 citationsbioRxiv : the preprint server for biology. 2025
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation2509.07596v2 · Yusuke Hirota, Ryo Hachiuma, Boyi Li et al.2025 · 0 citationsarXiv
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences2507.19362v1 · Yusuke Hirota, Boyi Li, Ryo Hachiuma et al.2025 · 1 citationarXiv
Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations2506.19004v2 · Brian Siyuan Zheng, Alisa Liu, Orevaoghene Ahia et al.2025 · 1 citationarXiv
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers2506.13342v2 · Wooseok Seo, Seungju Han, Jaehun Jung et al.2025 · 0 citationsarXiv
Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index2506.12229v5 · Hao Xu, Jiacheng Liu, Yejin Choi et al.2025 · 1 citationarXiv
Synthetic Visual Genome2506.07643v1 · Jae Sung Park, Zixian Ma, Linjie Li et al.2025 · 3 citationsarXiv
Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations2506.04633v1 · Linjie Li, Mahtab Bigverdi, Jiawei Gu et al.2025 · 0 citationsarXiv
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking2505.01700v3 · Yize Jiang, Xinze Li, Yuanyuan Zhang et al.2025 · 3 citationsarXiv
Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations2504.12691v1 · Yiyou Sun, Yu Gai, Lijie Chen et al.2025 · 7 citationsarXiv
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens2504.07096v2 · Jiacheng Liu, Taylor Blanton, Yanai Elazar et al.2025 · 6 citationsarXiv
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning2504.04383v2 · Ximing Lu, Seungju Han, David Acuna et al.2025 · 0 citationsarXiv
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models2504.03624v4 · NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar et al.2025 · 0 citationsarXiv
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models2502.11881v2 · Hyunwoo Kim, Melanie Sclar, Tan Zhi-Xuan et al.2025 · 1 citationarXiv
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning2502.01100v2 · Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson et al.2025 · 1 citationarXiv
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them2501.08292v1 · Abhilasha Ravichander, Shrusti Ghela, David Wadden et al.2025 · 13 citationsarXiv
Multi-Attribute Constraint Satisfaction via Language Model Rewriting2412.19198v1 · Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman et al.2024 · 0 citationsarXiv
Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning2412.12175v1 · Melanie Sclar, Jane Yu, Maryam Fazel-Zarandi et al.2024 · 0 citationsarXiv
Negative Token Merging: Image-based Adversarial Feature Guidance2412.01339v2 · Jaskirat Singh, Lindsey Li, Weijia Shi et al.2024 · 0 citationsarXiv
BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions2411.07461v1 · Anas Awadalla, Le Xue, Manli Shu et al.2024 · 0 citationsarXiv
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset2411.03554v3 · Yingzi Ma, Jiongxiao Wang, Fei Wang et al.2024 · 1 citationarXiv
RESTOR: Knowledge Recovery in Machine Unlearning2411.00204v3 · Keivan Rezaei, Khyathi Chandu, Soheil Feizi et al.2024 · 0 citationsarXiv
Towards Visual Text Design Transfer Across Languages2410.18823v2 · Yejin Choi, Jiwan Chung, Sumin Shim et al.2024 · 0 citationsarXiv
Diverging Preferences: When do Annotators Disagree and do Models Know?2410.14632v3 · Michael JQ Zhang, Zhilin Wang, Jena D. Hwang et al.2024 · 0 citationsarXiv
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs2410.13648v2 · Yuling Gu, Oyvind Tafjord, Hyunwoo Kim et al.2024 · 2 citationsarXiv
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition2410.05774v4 · Mohammadreza Salehi, Jae Sung Park, Tanush Yadav et al.2024 · 7 citationsNeurIPS 2024 Track Datasets and Benchmarks
Biased AI can Influence Political Decision-Making2410.06415v4 · Jillian Fisher, Shangbin Feng, Robert Aron et al.2024 · 4 citationsarXiv
Intuitions of Compromise: Utilitarianism vs. Contractualism2410.05496v1 · Jared Moore, Yejin Choi, Sydney Levine2024 · 0 citationsarXiv
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text2410.04265v2 · Ximing Lu, Melanie Sclar, Skyler Hallinan et al.2024 · 2 citationsarXiv
Can Language Models Reason about Individualistic Human Values and Preferences?2410.03868v2 · Liwei Jiang, Taylor Sorensen, Sydney Levine et al.2024 · 1 citationarXiv
DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life2410.02683v3 · Yu Ying Chiu, Liwei Jiang, Yejin Choi2024 · 3 citationsarXiv
Feasibility of Whole-Body Resistance Training With Social Support Reinforcement for Older Adults Living Alone: A Mixed-Methods Pilot Study.39361633 · Choi, MoonKi, Kim, Jin Seon, Park, Chan Young et al.2024 · 1 citationJournal of gerontological nursing. 2024;50(10):34-41
HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions2409.16427v4 · Xuhui Zhou, Hyunwoo Kim, Faeze Brahman et al.2024 · 1 citationarXiv
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild2409.03753v2 · Yuntian Deng, Wenting Zhao, Jack Hessel et al.2024 · 2 citationsarXiv
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements2408.15666v1 · Jillian Fisher, Skyler Hallinan, Ximing Lu et al.2024 · 4 citationsarXiv
Symbolic Working Memory Enhances Language Models for Complex Rule Application2408.13654v1 · Siyuan Wang, Zhongyu Wei, Yejin Choi et al.2024 · 11 citationsarXiv
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models2408.08872v4 · Le Xue, Manli Shu, Anas Awadalla et al.2024 · 1 citationarXiv
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement2407.18370v1 · Jaehun Jung, Faeze Brahman, Yejin Choi2024 · 3 citationsarXiv
Data Mixture Inference: What do BPE Tokenizers Reveal about their Training Data?2407.16607v4 · Jonathan Hayase, Alisa Liu, Yejin Choi et al.2024 · 2 citationsarXiv
Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild2407.11438v2 · Niloofar Mireshghallah, Maria Antoniak, Yash More et al.2024 · 4 citationsarXiv
Career total: 378 works. 265 are in this corpus.Showing the 50 most recent.
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