← Search

Yuanqing Yu

2 accepted papers

2025

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

NeurIPS 2025spotlight

The emergence of agentic recommender systems powered by Large Language Models (LLMs) represents a paradigm shift in personalized recommendations, leveraging LLMs’ advanced reasoning and role-playing capabilities to enable autonomous, adaptive decision-making. Unlike traditional recommendation approa…

Cited by 0SourcecodeScholar
2025

ToolACE: Winning the Points of LLM Function Calling

ICLR 2025poster

Function calling significantly extends the application boundary of large language models (LLMs), where high-quality and diverse training data is critical for unlocking this capability. However, collecting and annotating real function-calling data is challenging, while synthetic data from existing pi…

Cited by 23SourcePDFScholar