James Zou

papers

843

total citations

papers (21)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering

ICML 2024arXiv

224

citations

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

ICML 2024arXiv

183

citations

Simple linear attention language models balance the recall-throughput tradeoff

ICML 2024arXiv

140

citations

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis

ICML 2024arXiv

citations

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

ICML 2024arXiv

citations

Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering

ICLR 2025

citations

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

ICML 2024arXiv

citations

Clustering Plotted Data by Image Segmentation

CVPR 2022arXiv

citations

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

NEURIPS 2025arXiv

citations

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees

ICML 2025arXiv

citations

Prospector Heads: Generalized Feature Attribution for Large Models & Data

ICML 2024arXiv

citations

metaTextGrad: Automatically optimizing language model optimizers

NEURIPS 2025arXiv

citations

Position: TrustLLM: Trustworthiness in Large Language Models

ICML 2024

citations

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers

ICCV 2025arXiv

citations

James Zou

papers (21)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Simple linear attention language models balance the recall-throughput tradeoff

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering

Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Learning and Forgetting Unsafe Examples in Large Language Models

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning

Solving Inequality Proofs with Large Language Models

Cost-efficient Collaboration between On-device and Cloud Language Models

Scaling Laws for the Value of Individual Data Points in Machine Learning

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

Clustering Plotted Data by Image Segmentation

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees

Prospector Heads: Generalized Feature Attribution for Large Models & Data

metaTextGrad: Automatically optimizing language model optimizers

Position: TrustLLM: Trustworthiness in Large Language Models

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers

papers (21)

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews

Simple linear attention language models balance the recall-throughput tradeoff

How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering

Selecting Large Language Model to Fine-tune via Rectified Scaling Law

Learning and Forgetting Unsafe Examples in Large Language Models

Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning

Solving Inequality Proofs with Large Language Models

Cost-efficient Collaboration between On-device and Cloud Language Models

Scaling Laws for the Value of Individual Data Points in Machine Learning

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

Clustering Plotted Data by Image Segmentation

A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees

Prospector Heads: Generalized Feature Attribution for Large Models & Data

metaTextGrad: Automatically optimizing language model optimizers

Position: TrustLLM: Trustworthiness in Large Language Models

CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers