Yue Huang

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data

Preference Leakage: A Contamination Problem in LLM-as-a-judge

Causally-Enhanced Reinforcement Policy Optimization of Large Language Models

EIP: Weighted Ranking of LLMs by Quantifying Question Difficulty

TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models

Emergent Deceptive Behaviors in Reward-Optimizing LLMs

EfficientLLM: Evaluating Large Language Models Efficiency

AutoDavis: Automatic and Dynamic Evaluation Protocol of Large Vision-Language Models on Visual Question-Answering

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models

GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations

AdaReasoner: Adaptive Reasoning Enables More Flexible Thinking

DyFlow: Dynamic Workflow Framework for Agentic Reasoning

Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Exposing and Patching the Flaws of Large Language Models in Social Character Simulation

ChemOrch: Empowering LLMs with Chemical Intelligence via Groundbreaking Synthetic Instructions

Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Quantifying AI Psychology: A Psychometric Benchmark for Large Language Models

AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?