James Zou
- Papers
- 67
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Authored papers
67AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
arXiv 2026
Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
arXiv 2026
Learning to Discover at Test Time
arXiv 2026
Introspective Diffusion Language Models
arXiv 2026
Recursive Multi-Agent Systems
arXiv 2026
A Survey of Agent Memory in the Second Half: Towards Self-Evolving and Long-Horizon Agents
arXiv 2026
Scientific reasoning does not reliably translate into scientific forecasting in frontier AI
arXiv 2026
DSGym: A Holistic Framework for Evaluating and Training Data Science Agents
arXiv 2026
OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning
arXiv 2025
Cartridges: Lightweight and general-purpose long context representations via self-study
arXiv 2025
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
arXiv 2025
Solving Inequality Proofs with Large Language Models
arXiv 2025
MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reports
arXiv 2025
Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
arXiv 2025
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
arXiv 2025
4KAgent: Agentic Any Image to 4K Super-Resolution
arXiv 2025
S-Chain: Structured Visual Chain-of-Thought For Medicine
arXiv 2025
Fractional Reasoning via Latent Steering Vectors Improves Inference Time Compute
arXiv 2025
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
arXiv 2025
MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
arXiv 2025
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
arXiv 2025
Optimizing Model Selection for Compound AI Systems
arXiv 2025
Generative Evaluation of Complex Reasoning in Large Language Models
arXiv 2025
Cost-of-Pass: An Economic Framework for Evaluating Language Models
arXiv 2025
SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning
arXiv 2025
Learning a Canonical Basis of Human Preferences from Binary Ratings
arXiv 2025
Where LLM Agents Fail and How They can Learn From Failures
arXiv 2025
UQ: Assessing Language Models on Unsolved Questions
arXiv 2025
Latent Collaboration in Multi-Agent Systems
arXiv 2025
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
Simple linear attention language models balance the recall-throughput tradeoff
arXiv 2024
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
arXiv 2024
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
arXiv 2024
Reducing Hallucinations in Vision-Language Models via Latent Space Steering
arXiv 2024
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
arXiv 2024
FineTuneBench: How well do commercial fine-tuning APIs infuse knowledge into LLMs?
arXiv 2024
Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models
arXiv 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
arXiv 2024
TFG: Unified Training-Free Guidance for Diffusion Models
arXiv 2024
Enhancing Large Vision Language Models with Self-Training on Image Comprehension
arXiv 2024
ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence
arXiv 2024
Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
arXiv 2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards
arXiv 2024
TextGrad: Automatic "Differentiation" via Text
arXiv 2024
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine
arXiv 2024
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
arXiv 2024
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face
arXiv 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness
arXiv 2024
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
arXiv 2023
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
arXiv 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models
arXiv 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
arXiv 2023
GPT detectors are biased against non-native English writers
arXiv 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models
arXiv 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
arXiv 2023
Can large language models provide useful feedback on research papers? A large-scale empirical analysis
arXiv 2023
BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks
arXiv 2023
How is ChatGPT's behavior changing over time?
arXiv 2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
TMLR
When and why vision-language models behave like bags-of-words, and what to do about it?
arXiv 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
metashift-a-dataset-of-datasets-for
DataPerf: Benchmarks for Data-Centric AI Development
dataperf-benchmarks-for-data-centric-ai
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
arXiv 2022
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
arXiv 2019
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems
arXiv 2019
Data Shapley: Equitable Valuation of Data for Machine Learning
arXiv 2019
Towards Automatic Concept-based Explanations
towards-automatic-concept-based-explanations
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