James Zou

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory EACL 2026 Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers EACL 2026 Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs EACL 2026 Impatient Users Confuse AI Agents: High-fidelity Simulations of Human Traits for Testing Agents ACL 2026 OctoTools: A Multi-Agent Framework with Extensible Tools for Complex Reasoning ACL 2026 FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees ICML 2025 Inefficiencies of Meta Agents for Agent Design EMNLP 2025 Protein Large Language Models: A Comprehensive Survey EMNLP 2025 CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers ICCV 2025 Cost-efficient Collaboration between On-device and Cloud Language Models ICML 2025 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models ICLR 2025 GMValuator: Similarity-based Data Valuation for Generative Models ICLR 2025 MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine ICLR 2025 Capturing the Temporal Dependence of Training Data Influence ICLR 2025 Mixture-of-Agents Enhances Large Language Model Capabilities ICLR 2025 Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering ICLR 2025 Locality Alignment Improves Vision-Language Models ICLR 2025 Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models AISTATS 2025 CollabLLM: From Passive Responders to Active Collaborators ICML 2025 Improving Model Alignment Through Collective Intelligence of Open-Source Models ICML 2025 How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis ICML 2024 Simple linear attention language models balance the recall-throughput tradeoff ICML 2024 AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning NIPS 2024 Accelerating Transformers with Spectrum-Preserving Token Merging NIPS 2024 ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NIPS 2024 UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels NIPS 2024 STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases NIPS 2024 Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace ICLR 2024 DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models ICLR 2024 Zoology: Measuring and Improving Recall in Efficient Language Models ICLR 2024 Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions ICLR 2024 Enhancing Large Vision Language Models with Self-Training on Image Comprehension NIPS 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models NIPS 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NIPS 2024 GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts NIPS 2024 Learning and Forgetting Unsafe Examples in Large Language Models ICML 2024 Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits ICML 2024 ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations ICML 2024 SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals ICML 2024 Prospector Heads: Generalized Feature Attribution for Large Models & Data ICML 2024 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NIPS 2024 TFG: Unified Training-Free Guidance for Diffusion Models NIPS 2024 Selecting Large Language Model to Fine-tune via Rectified Scaling Law ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 Scaling Laws for the Value of Individual Data Points in Machine Learning ICML 2024 HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs AAAI 2023 Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ACL 2023 Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data AISTATS 2023 Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise AISTATS 2023 FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data ICLR 2023 FaiREE: fair classification with finite-sample and distribution-free guarantee ICLR 2023 Diagnosing and Rectifying Vision Models using Language ICLR 2023 When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? ICLR 2023 Post-hoc Concept Bottleneck Models ICLR 2023 Data-Driven Subgroup Identification for Linear Regression ICML 2023 Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value ICML 2023 Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations ICML 2023 Discover and Cure: Concept-aware Mitigation of Spurious Correlation ICML 2023 The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023 How Did the Model Change? Efficiently Assessing Machine Learning API Shifts ICLR 2022 Meaningfully debugging model mistakes using conceptual counterfactual explanations ICML 2022 Efficient Online ML API Selection for Multi-Label Classification Tasks ICML 2022 Improving Out-of-Distribution Robustness via Selective Augmentation ICML 2022 When and How Mixup Improves Calibration ICML 2022 SEAL: Interactive Tool for Systematic Error Analysis and Labeling EMNLP 2022 Clustering Plotted Data by Image Segmentation CVPR 2022 Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning AISTATS 2022 How to Learn when Data Gradually Reacts to Your Model AISTATS 2022 MLDemon:Deployment Monitoring for Machine Learning Systems AISTATS 2022 Domino: Discovering Systematic Errors with Cross-Modal Embeddings ICLR 2022 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts ICLR 2022 Competing AI: How does competition feedback affect machine learning? AISTATS 2021 Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021 How Does Mixup Help With Robustness and Generalization? ICLR 2021 Improving Generalization in Meta-learning via Task Augmentation ICML 2021 How to Learn when Data Reacts to Your Model: Performative Gradient Descent ICML 2021 Efficient Computation and Analysis of Distributional Shapley Values AISTATS 2021 Approximate Data Deletion from Machine Learning Models AISTATS 2021 Learning transport cost from subset correspondence ICLR 2020 A Distributional Framework For Data Valuation ICML 2020 ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020 Explaining the Trump Gap in Social Distancing Using COVID Discourse EMNLP 2020 Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation ACL 2020 Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings NAACL 2019 Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019 Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees AISTATS 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Concrete Autoencoders: Differentiable Feature Selection and Reconstruction ICML 2019 Data Shapley: Equitable Valuation of Data for Machine Learning ICML 2019 Discovering Conditionally Salient Features with Statistical Guarantees ICML 2019 Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits ICML 2019 Why Adaptively Collected Data Have Negative Bias and How to Correct for It AISTATS 2018 CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions ICML 2018 Learning Latent Space Models with Angular Constraints ICML 2017 Estimating the unseen from multiple populations ICML 2017 Quantifying the accuracy of approximate diffusions and Markov chains AISTATS 2017 Rich Component Analysis ICML 2016 Controlling Bias in Adaptive Data Analysis Using Information Theory AISTATS 2016 Intersecting Faces: Non-negative Matrix Factorization With New Guarantees ICML 2015