AAAI 2026technical0 citations
RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems
Mengfan Li, Xuanhua Shi, Yang Deng
Abstract
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
BibTeX
@inproceedings{aaai2026_rectomabenchmark,
title = {RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems},
author = {Mengfan Li and Xuanhua Shi and Yang Deng},
booktitle = {AAAI 2026},
year = {2026}
}