ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.15052
  4. Cited By
ToMBench: Benchmarking Theory of Mind in Large Language Models

ToMBench: Benchmarking Theory of Mind in Large Language Models

23 February 2024
Zhuang Chen
Jincenzi Wu
Jinfeng Zhou
Bosi Wen
Guanqun Bi
Gongyao Jiang
Yaru Cao
Mengting Hu
Yunghwei Lai
Zexuan Xiong
Minlie Huang
ArXivPDFHTML

Papers citing "ToMBench: Benchmarking Theory of Mind in Large Language Models"

11 / 11 papers shown
Title
Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective
Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective
Qiaosi Wang
Xuhui Zhou
Maarten Sap
Jodi Forlizzi
Hong Shen
38
0
0
15 Apr 2025
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models
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
The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs
The Mind in the Machine: A Survey of Incorporating Psychological Theories in LLMs
Zizhou Liu
Ziwei Gong
Lin Ai
Zheng Hui
Run Chen
Colin Wayne Leach
Michelle R. Greene
Julia Hirschberg
LLMAG
147
0
0
28 Mar 2025
Towards properly implementing Theory of Mind in AI systems: An account of four misconceptions
Towards properly implementing Theory of Mind in AI systems: An account of four misconceptions
Ramira van der Meulen
Rineke Verbrugge
Max van Duijn
43
0
0
28 Feb 2025
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
Hyunwoo Kim
Melanie Sclar
Tan Zhi-Xuan
Lance Ying
Sydney Levine
Yang Liu
Joshua B. Tenenbaum
Yejin Choi
LRM
LLMAG
56
0
0
17 Feb 2025
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit
  ToM Application in LLMs
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
Yuling Gu
Oyvind Tafjord
Hyunwoo Kim
Jared Moore
Ronan Le Bras
Peter Clark
Yejin Choi
33
8
0
17 Oct 2024
EgoSocialArena: Benchmarking the Social Intelligence of Large Language Models from a First-person Perspective
EgoSocialArena: Benchmarking the Social Intelligence of Large Language Models from a First-person Perspective
Guiyang Hou
Wenqi Zhang
Yongliang Shen
Zeqi Tan
Sihao Shen
Weiming Lu
31
0
0
08 Oct 2024
A Notion of Complexity for Theory of Mind via Discrete World Models
A Notion of Complexity for Theory of Mind via Discrete World Models
X. A. Huang
Emanuele La Malfa
Samuele Marro
Andrea Asperti
Anthony Cohn
Michael Wooldridge
45
6
0
16 Jun 2024
Task Contamination: Language Models May Not Be Few-Shot Anymore
Task Contamination: Language Models May Not Be Few-Shot Anymore
Changmao Li
Jeffrey Flanigan
103
92
0
26 Dec 2023
Theory of Mind in Large Language Models: Examining Performance of 11
  State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
Max J. van Duijn
Bram van Dijk
Tom Kouwenhoven
Werner de Valk
M. Spruit
P. V. D. Putten
ELM
LRM
28
28
0
31 Oct 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
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
2,232
0
22 Mar 2023
1