James Zou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
95
Venues
16
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
95 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Impatient Users Confuse AI Agents: High-fidelity Simulations of Human Traits for Testing Agents. | Muyu He, Anand Kumar, Soumyadeep Bakshi, James Zou, Nazneen Rajani |
| 2026 | ACL | ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning. | Yongchan Kwon, Shang Zhu, Federico Bianchi, Kaitlyn Zhou, James Zou |
| 2026 | ACL | OctoTools: A Multi-Agent Framework with Extensible Tools for Complex Reasoning. | Pan Lu, Bowen Chen, Sheng Liu, Rahul Thapa, Joseph Boen, James Zou |
| 2026 | EACL | Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers. | Hannah Calzi Kleidermacher, James Zou |
| 2026 | EACL | Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory. | Mirac Suzgun, Mert Yksekgnl, Federico Bianchi, Dan Jurafsky, James Zou |
| 2026 | EACL | Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs. | Rahul Thapa, Qingyang Wu, Kevin Wu, Harrison Zhang, Angela Zhang, Eric Wu, Haotian Ye, James Zou |
| 2025 | AIES | Improving LLM Group Fairness on Tabular Data via In-Context Learning. | Valeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Bertran Lopez, Michael Kearns, James Zou |
| 2025 | AISTATS | Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. | Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu |
| 2025 | EMNLP | Inefficiencies of Meta Agents for Agent Design. | Batu El, Mert Yksekgnl, James Zou |
| 2025 | EMNLP | Protein Large Language Models: A Comprehensive Survey. | Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang |
| 2025 | ICCV | CHORDS: Diffusion Sampling Accelerator with Multi-Core Hierarchical ODE Solvers. | Jiaqi Han, Haotian Ye, Puheng Li, Minkai Xu, James Zou, Stefano Ermon |
| 2025 | ICLR | MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models. | Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao |
| 2025 | ICLR | Locality Alignment Improves Vision-Language Models. | Ian Connick Covert, Tony Sun, James Zou, Tatsunori Hashimoto |
| 2025 | ICLR | Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering. | Sheng Liu, Haotian Ye, James Zou |
| 2025 | ICLR | Capturing the Temporal Dependence of Training Data Influence. | Jiachen T. Wang, Dawn Song, James Zou, Prateek Mittal, Ruoxi Jia |
| 2025 | ICLR | Mixture-of-Agents Enhances Large Language Model Capabilities. | Junlin Wang, Jue Wang, Ben Athiwaratkun, Ce Zhang, James Zou |
| 2025 | ICLR | MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine. | Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou |
| 2025 | ICLR | GMValuator: Similarity-based Data Valuation for Generative Models. | Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Zou, Xiaoxiao Li |
| 2025 | ICML | Cost-efficient Collaboration between On-device and Cloud Language Models. | Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher R |
| 2025 | ICML | FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees. | Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang |
| 2025 | ICML | Improving Model Alignment Through Collective Intelligence of Open-Source Models. | Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou |
| 2025 | ICML | CollabLLM: From Passive Responders to Active Collaborators. | Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao |
| 2025 | WWW | Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. | Lifu Huang, Danai Koutra, Adithya Kulkarni, Temiloluwa Prioleau, Qingyun Wu, Yujun Yan, Yaoqing Yang, James Zou, Dawei Zhou |
| 2024 | ICLR | Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. | Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Rttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou |
| 2024 | ICLR | Zoology: Measuring and Improving Recall in Efficient Language Models. | Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher R |
| 2024 | ICLR | DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models. | Yongchan Kwon, Eric Wu, Kevin Wu, James Zou |
| 2024 | ICLR | Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace. | Xinyu Yang, Weixin Liang, James Zou |
| 2024 | ICML | How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. | Federico Bianchi, Patrick John Chia, Mert Yksekgnl, Jacopo Tagliabue, Dan Jurafsky, James Zou |
| 2024 | ICML | Simple linear attention language models balance the recall-throughput tradeoff. | Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher R |
| 2024 | ICML | Scaling Laws for the Value of Individual Data Points in Machine Learning. | Ian Connick Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | Selecting Large Language Model to Fine-tune via Rectified Scaling Law. | Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang |
| 2024 | ICML | Prospector Heads: Generalized Feature Attribution for Large Models & Data. | Gautam Machiraju, Alexander Derry, Arjun D. Desai, Neel Guha, Amir-Hossein Karimi, James Zou, Russ B. Altman, Christopher R, Parag Mallick |
| 2024 | ICML | SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals. | Rahul Thapa, Bryan He, Magnus Ruud Kjr, Hyatt E. Moore IV, Gauri Ganjoo, Emmanuel Mignot, James Zou |
| 2024 | ICML | ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations. | Kailas Vodrahalli, James Zou |
| 2024 | ICML | Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. | Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia |
| 2024 | ICML | Learning and Forgetting Unsafe Examples in Large Language Models. | Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren |
| 2023 | AAAI | HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. | Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher R, Matei Zaharia, James Zou |
| 2023 | ACL | Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. | Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung |
| 2023 | AISTATS | Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data. | Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang |
| 2023 | AISTATS | Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. | Haotian Ye, James Zou, Linjun Zhang |
| 2023 | ICLR | FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. | Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou |
| 2023 | ICLR | FaiREE: fair classification with finite-sample and distribution-free guarantee. | Puheng Li, James Zou, Linjun Zhang |
| 2023 | ICLR | When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? | Mert Yksekgnl, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou |
| 2023 | ICLR | Post-hoc Concept Bottleneck Models. | Mert Yksekgnl, Maggie Wang, James Zou |
| 2023 | ICLR | Diagnosing and Rectifying Vision Models using Language. | Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung |
| 2023 | ICML | Data-Driven Subgroup Identification for Linear Regression. | Zachary Izzo, Ruishan Liu, James Zou |
| 2023 | ICML | Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value. | Yongchan Kwon, James Zou |
| 2023 | ICML | Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations. | Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou |
| 2023 | ICML | Discover and Cure: Concept-aware Mitigation of Spurious Correlation. | Shirley Wu, Mert Yksekgnl, Linjun Zhang, James Zou |
| 2022 | ACSSC | Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning. | Amirata Ghorbani, Andre Esteva, James Zou |
| 2022 | ACSSC | Data Shapley Valuation for Efficient Batch Active Learning. | Amirata Ghorbani, James Zou, Andre Esteva |
| 2022 | ACSSC | Data Sculpting: Interpretable Algorithm for End-to-End Cohort Selection. | Ruishan Liu, James Zou |
| 2022 | AIES | Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. | Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou |
| 2022 | AISTATS | MLDemon: Deployment Monitoring for Machine Learning Systems. | Tony Ginart, Martin Jinye Zhang, James Zou |
| 2022 | AISTATS | How to Learn when Data Gradually Reacts to Your Model. | Zachary Izzo, James Zou, Lexing Ying |
| 2022 | AISTATS | Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning. | Yongchan Kwon, James Zou |
| 2022 | CVPR | Clustering Plotted Data by Image Segmentation. | Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou |
| 2022 | EMNLP | SEAL: Interactive Tool for Systematic Error Analysis and Labeling. | Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou |
| 2022 | ICLR | How Did the Model Change? Efficiently Assessing Machine Learning API Shifts. | Lingjiao Chen, Matei Zaharia, James Zou |
| 2022 | ICLR | Domino: Discovering Systematic Errors with Cross-Modal Embeddings. | Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher R |
| 2022 | ICLR | MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts. | Weixin Liang, James Zou |
| 2022 | ICML | Meaningfully debugging model mistakes using conceptual counterfactual explanations. | Abubakar Abid, Mert Yksekgnl, James Zou |
| 2022 | ICML | Efficient Online ML API Selection for Multi-Label Classification Tasks. | Lingjiao Chen, Matei Zaharia, James Zou |
| 2022 | ICML | Improving Out-of-Distribution Robustness via Selective Augmentation. | Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn |
| 2022 | ICML | When and How Mixup Improves Calibration. | Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou |
| 2021 | AIES | Persistent Anti-Muslim Bias in Large Language Models. | Abubakar Abid, Maheen Farooqi, James Zou |
| 2021 | AIES | Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data. | Gal Yona, Amirata Ghorbani, James Zou |
| 2021 | AISTATS | Improving Adversarial Robustness via Unlabeled Out-of-Domain Data. | Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou |
| 2021 | AISTATS | Competing AI: How does competition feedback affect machine learning? | Tony Ginart, Eva Zhang, Yongchan Kwon, James Zou |
| 2021 | AISTATS | Approximate Data Deletion from Machine Learning Models. | Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou |
| 2021 | AISTATS | Efficient Computation and Analysis of Distributional Shapley Values. | Yongchan Kwon, Manuel A. Rivas, James Zou |
| 2021 | ICLR | How Does Mixup Help With Robustness and Generalization? | Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou |
| 2021 | ICML | How to Learn when Data Reacts to Your Model: Performative Gradient Descent. | Zachary Izzo, Lexing Ying, James Zou |
| 2021 | ICML | Improving Generalization in Meta-learning via Task Augmentation. | Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li |
| 2021 | ISIT | Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems. | Antonio A. Ginart, Maxim Naumov, Dheevatsa Mudigere, Jiyan Yang, James Zou |
| 2021 | ISIT | Neural Group Testing to Accelerate Deep Learning. | Weixin Liang, James Zou |
| 2021 | PSB | TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. | Kailas Vodrahalli, Roxana Daneshjou, Roberto A. Novoa, Albert Chiou, Justin M. Ko, James Zou |
| 2020 | ACL | Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation. | Weixin Liang, James Zou, Zhou Yu |
| 2020 | EMNLP | ALICE: Active Learning with Contrastive Natural Language Explanations. | Weixin Liang, James Zou, Zhou Yu |
| 2020 | EMNLP | Explaining the Trump Gap in Social Distancing Using COVID Discourse. | Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K. Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes C. Eichstaedt |
| 2020 | ICLR | Learning transport cost from subset correspondence. | Ruishan Liu, Akshay Balsubramani, James Zou |
| 2020 | ICML | A Distributional Framework For Data Valuation. | Amirata Ghorbani, Michael P. Kim, James Zou |
| 2020 | PSB | LitGen: Genetic Literature Recommendation Guided by Human Explanations. | Allen Nie, Arturo L. Pineda, Matt W. Wright, Hannah Wand, Bryan Wulf, Helio A. Costa, Ronak Y. Patel, Carlos D. Bustamante, James Zou |
| 2019 | ICML | Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits. | Martin J. Zhang, James Zou, David Tse |
| 2019 | NAACL | Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. | Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky |
| 2019 | RECOMB | AdaFDR: A Fast, Powerful and Covariate-Adaptive Approach to Multiple Hypothesis Testing. | Martin J. Zhang, Fei Xia, James Zou |
| 2018 | AISTATS | Why Adaptively Collected Data Have Negative Bias and How to Correct for It. | Xinkun Nie, Xiaoying Tian, Jonathan Taylor, James Zou |
| 2018 | ICML | CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions. | Kevin Tian, Teng Zhang, James Zou |
| 2017 | AISTATS | Quantifying the accuracy of approximate diffusions and Markov chains. | Jonathan Huggins, James Zou |
| 2017 | ICML | Estimating the unseen from multiple populations. | Aditi Raghunathan, Gregory Valiant, James Zou |
| 2017 | ICML | Learning Latent Space Models with Angular Constraints. | Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing |
| 2016 | AISTATS | Controlling Bias in Adaptive Data Analysis Using Information Theory. | Daniel Russo, James Zou |
| 2016 | ICML | Rich Component Analysis. | Rong Ge, James Zou |
| 2015 | ICML | Intersecting Faces: Non-negative Matrix Factorization With New Guarantees. | Rong Ge, James Zou |