🧑‍🔬 James Zou — all works

66 works · ← James Zou

1. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word EmbeddingsarXiv:1607.06520Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.2016 · 2,079 citations
2. Word embeddings quantify 100 years of gender and ethnic stereotypes ↗Proceedings of the National Academy of Sciences · no summary yetNikhil Garg et al.2018 · 1,296 citations
3. Interpretation of Neural Networks Is Fragile ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetAmirata Ghorbani, Abubakar Abid, James Zou2017 · 772 citations
4. Persistent Anti-Muslim Bias in Large Language ModelsProceedings of the AAAI/ACM Conference on AI Ethics and SocietyAbubakar Abid, Maheen Farooqi, James Zou2021 · 653 citations
5. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale ↗ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yetFederico Bianchi et al.2023 · 377 citations
6. Can large language models provide useful feedback on research papers? A large-scale empirical analysis ↗arXiv:2310.01783 · no summary yetWeixin Liang et al.2023 · 332 citations
7. MOPO: Model-based Offline Policy Optimization ↗arXiv (Cornell University) · no summary yetTianhe Yu et al.2020 · 260 citations
8. FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving PerformancearXiv:2305.05176Lingjiao Chen, Matei Zaharia, James Zou2023 · 241 citations
9. Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetDorottya Demszky et al.2019 · 216 citations
10. Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials ↗npj Digital Medicine · no summary yetAndre Esteva et al.2022 · 215 citations
11. When and why vision-language models behave like bags-of-words, and what to do about it? ↗arXiv (Cornell University) · no summary yetMert Yüksekgönül et al.2022 · 140 citations
12. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsarXiv:2309.07875Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 135 citations
13. Mind the Gap: Understanding the Modality Gap in Multi-Modal Contrastive Representation Learning ↗neural information processing systems · no summary yetWeixin Liang et al.2022 · 128 citations
14. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews ↗arXiv:2403.07183 · no summary yetWeixin Liang et al.2024 · 119 citations
15. Mixture-of-Agents Enhances Large Language Model Capabilities ↗arXiv:2406.04692 · no summary yetJunlin Wang et al.2024 · 116 citations
16. Optimizing generative AI by backpropagating language model feedback ↗Nature · no summary yetMert Yüksekgönül et al.2025 · 115 citations
17. GPT detectors are biased against non-native English writersarXiv:2304.02819Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.2023 · 110 citations
18. TextGrad: Automatic "Differentiation" via TextarXiv:2406.07496Mert Yuksekgonul, Federico Bianchi, Joseph Boen, et al.2024 · 96 citations
19. Mapping the Increasing Use of LLMs in Scientific Papers ↗arXiv:2404.01268 · no summary yetWeixin Liang et al.2024 · 89 citations
20. Spatial transcriptomic clocks reveal cell proximity effects in brain ageing ↗Nature · no summary yetEric Sun et al.2024 · 89 citations
21. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering ↗arXiv:2311.06668 · no summary yetSheng Liu et al.2023 · 89 citations
22. Concrete Autoencoders: Differentiable Feature Selection and Reconstruction. ↗International Conference on Machine Learning · no summary yetMuhammed Fati̇h Balin, Abubakar Abid, James Zou2019 · 82 citations
23. Quantifying large language model usage in scientific papers ↗Nature Human Behaviour · no summary yetWeixin Liang et al.2025 · 81 citations
24. The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies ↗bioRxiv 2024.11.11.623004; Nature (2025) · no summary yetKyle Swanson et al.2024 · 76 citations
25. ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceConference on Neural Information Processing Systems (NeurIPS)Kevin Wu, Eric Wu, James Zou2024 · 65 citations
26. Simple linear attention language models balance the recall-throughput tradeoffarXiv:2402.18668Simran Arora, Sabri Eyuboglu, Michael Zhang, et al.2024 · 59 citations
27. Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems ↗arXiv (Cornell University) · no summary yetLingjiao Chen et al.2024 · 46 citations
28. Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models ↗arXiv:2510.04618 · no summary yetQizheng Zhang et al.2025 · 39 citations
29. STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 38 citations
30. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
31. AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 36 citations
32. Factorized Contrastive Learning: Going Beyond Multi-view Redundancy ↗neural information processing systems · no summary yetPaul Pu Liang et al.2023 · 32 citations
33. CollabLLM: From Passive Responders to Active Collaborators ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2025 · 30 citations
34. Language models cannot reliably distinguish belief from knowledge and fact ↗Nature Machine Intelligence · no summary yetMirac Süzgün et al.2025 · 28 citations
35. Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems ↗neural information processing systems · no summary yetLingjiao Chen et al.2024 · 27 citations
36. How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis ↗arXiv (Cornell University) · no summary yetFederico Bianchi et al.2024 · 22 citations
37. Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025 ↗arXiv:2504.09737 · no summary yetNitya Thakkar et al.2025 · 21 citations
38. TFG: Unified Training-Free Guidance for Diffusion Models ↗neural information processing systems · no summary yetHaotian Ye et al.2024 · 16 citations
39. Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetYuhui Zhang et al.2023 · 16 citations
40. Belief in the Machine: Investigating Epistemological Blind Spots of Language Models ↗arXiv (Cornell University) · no summary yetMirac Süzgün et al.2024 · 12 citations
41. Diversifying history: A large-scale analysis of changes in researcher demographics and scholarly agendas ↗PLoS ONE · no summary yetStephan Risi et al.2022 · 11 citations
42. Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetHannah Calzi Kleidermacher, James Zou2026 · 10 citations
43. Optimizing Model Selection for Compound AI Systems ↗arXiv (Cornell University) · no summary yetLingjiao Chen et al.2025 · 9 citations
44. GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts ↗neural information processing systems · no summary yetShirley Wu et al.2024 · 9 citations
45. UQ: Assessing Language Models on Unsolved Questions ↗arXiv (Cornell University) · no summary yetNie, Fan et al.2025 · 6 citations
46. OctoTools: A Multi-Agent Framework with Extensible Tools for Complex ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Pan Lu, Bowen Chen, Sheng Liu, et al.2026 · 5 citations
47. HumanLM: Simulating Users with State Alignment Beats Response Imitation ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2026 · 5 citations
48. Redefining druggable targets with artificial intelligence ↗Nature Biotechnology · no summary yetKaren Akinsanya et al.2025 · 4 citations
49. Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards ↗arXiv (Cornell University) · no summary yetWu, Shirley et al.2025 · 4 citations
50. Data-regularized Reinforcement Learning for Diffusion Models at Scale ↗arXiv:2512.04332 · no summary yetHaotian Ye et al.2025 · 4 citations
51. Combee: Scaling Prompt Learning for Self-Improving Language Model Agents ↗arXiv (Cornell University) · no summary yetHanchen Li et al.2026 · 3 citations
52. Exploring the use of AI authors and reviewers at Agents4Science ↗arXiv:2511.15534 · no summary yetFederico Bianchi et al.2025 · 2 citations
53. CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJiaqi Han et al.2025 · 2 citations
54. Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Rahul Thapa, Qingyang Wu, Kevin Wu, et al.2026 · 1 citation
55. The Price Reversal Phenomenon: When Cheaper Reasoning Models Cost More ↗arXiv (Cornell University) · no summary yetLingjiao Chen et al.2026 · 1 citation
56. CollabLLM: From Passive Responders to Active Collaborators (Extended Abstract) ↗International Joint Conference on Artificial Intelligence · no summary yetShirley Wu et al.2026 · 1 citation
57. How random is the review outcome? A systematic study of the impact of external factors on eLife peer review ↗bioRxiv (Cold Spring Harbor Laboratory) · no summary yetWeixin Liang et al.2023 · 1 citation
58. Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment ↗arXiv (Cornell University) · no summary yetSheng Liu et al.2026
59. Evaluating Commercial AI Chatbots as News Intermediaries ↗arXiv (Cornell University) · no summary yetMirac Süzgün et al.2026
60. string2string Studio: An Interactive, In-Browser Platform for String-to-String Algorithms ↗arXiv (Cornell University) · no summary yetMirac Süzgün et al.2026
61. Generative AI for drug design : methods and applications ↗Stanford Digital Repository · no summary yetKyle Swanson et al.2026
62. Collaborative AI agents ↗Stanford Digital Repository · no summary yetShirley Yingxin Wu et al.2026
63. REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization ↗arXiv (Cornell University) · no summary yetHe, Qiyuan et al.2025
64. InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression ↗arXiv (Cornell University) · no summary yetHaotian Ye et al.2025
65. GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters ↗arXiv (Cornell University) · no summary yetWanjia Zhao et al.2025
66. Diversifying History ↗no summary yetStephan Risi et al.2021

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