Weiwen Liu

ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction

CATArena: Evaluation of LLM Agents Through Iterative Tournament Competitions

Advancing and Benchmarking Personalized Tool Invocation for LLMs

CortexVLA: Bridging the Gap between Cognition and Action via Function Calling

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation

CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark

LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls

ATGen: Adversarial Reinforcement Learning for Test Case Generation

Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling

Improve LLM Pre-training with RL-Guided Annealing

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning

APTBench: Benchmarking Agentic Potential of Base LLMs During Pre-Training

TRACEBench: Personalized Function Calling Benchmark Based on Real-World Human Interaction

SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION

ToolACE: Winning the Points of LLM Function Calling

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger