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Mengfan Li

2 accepted papers

2026

RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems

AAAI 2026technical

Large Language models (LLMs) are revolutionizing the conversational recommender systems (CRS) through their impressive capabilities in instruction comprehension, reasoning, and human interaction. A core factor underlying effective dialogue is the ability to infer and reason about others

Cited by 0SourcePDFScholar
2023

SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning

EMNLP 2023long findings

Temporal Knowledge Graph (TKG) reasoning, which focuses on leveraging temporal information to infer future facts in knowledge graphs, plays a vital role in knowledge graph completion. Typically, existing works for this task design graph neural networks and recurrent neural networks to respectively c…

Cited by 0SourceScholar