Stanford University

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Recent Activity

RuoqiLiu submitted a paper about 1 hour ago

PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments

AmberLJC submitted a paper 4 days ago

The Last Human-Written Paper: Agent-Native Research Artifacts

jiaruz2 submitted a paper 6 days ago

Recursive Multi-Agent Systems

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Papers

PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments

The Last Human-Written Paper: Agent-Native Research Artifacts

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StanfordUniversity 's Papers 16

Submitted by

Ruoqi Liu

PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments

StanfordUniversity

Stanford University

Submitted by

Amber

The Last Human-Written Paper: Agent-Native Research Artifacts

StanfordUniversity

Stanford University

Submitted by

Jiaru Zou

Recursive Multi-Agent Systems

StanfordUniversity

Stanford University

Submitted by

Genghan Zhang

AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization

StanfordUniversity

Stanford University

Submitted by

Khai Loong Aw

Zero-shot World Models Are Developmentally Efficient Learners

StanfordUniversity

Stanford University

Submitted by

Tarun Suresh

TRACE: Capability-Targeted Agentic Training

StanfordUniversity

Stanford University

Submitted by

Shenzhe Zhu

Multi-User Large Language Model Agents

StanfordUniversity

Stanford University

Submitted by

Tyler Lum

SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation

StanfordUniversity

Stanford University

Submitted by

Peiyang Song

Large Language Model Reasoning Failures

StanfordUniversity

Stanford University

Submitted by

Enyi (Olivia) Jiang

Latent Adversarial Regularization for Offline Preference Optimization

StanfordUniversity

Stanford University

Submitted by

taesiri

Endless Terminals: Scaling RL Environments for Terminal Agents

StanfordUniversity

Stanford University

Submitted by

Federico Bianchi

Learning to Discover at Test Time

StanfordUniversity

Stanford University

Submitted by

taesiri

An Information Theoretic Perspective on Agentic System Design

StanfordUniversity

Stanford University

Submitted by

taesiri

QuantiPhy: A Quantitative Benchmark Evaluating Physical Reasoning Abilities of Vision-Language Models

StanfordUniversity

Stanford University

Submitted by

Chengzhi Liu

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

StanfordUniversity

Stanford University

Changen2: Multi-Temporal Remote Sensing Generative Change Foundation Model

StanfordUniversity

Stanford University