OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind
Reasoning Capabilities of Large Language Models

OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models

8 February 2024

Yulan He

Papers citing "OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models"

6 / 6 papers shown

Title
R^3-VQA: "Read the Room" by Video Social Reasoning Lixing Niu Jiapeng Li Xingping Yu Shu Wang Ruining Feng Bo Wu Ping Wei Yixuan Wang Lifeng Fan 51 0 0 07 May 2025
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models Yuheng Wu Wentao Guo Zirui Liu Heng Ji Zhaozhuo Xu Denghui Zhang 33 0 0 05 Apr 2025
Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models Guobin Shen Dongcheng Zhao Yiting Dong Xiang-Yu He Yi Zeng AAML 45 0 0 03 Oct 2024
Brittle Minds, Fixable Activations: Understanding Belief Representations in Language Models Matteo Bortoletto Constantin Ruhdorfer Lei Shi Andreas Bulling AI4MH LRM 46 5 0 25 Jun 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 298 3,007 0 22 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022