Image de couverture de livre

CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tong, Haibo, Yue, Zeyang, Zhao, Feifei, Lin, Erliang, Jia, Lu, Chen, Ruolin, Sun, Yinqian, Zhang, Qian, Zeng, Yi
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Building Altruistic and Moral AI Agent with Brain-inspired Emotional Empathy Mechanisms
par: Zhao, Feifei, et autres
Publié: (2024)

Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind
par: Tong, Haibo, et autres
Publié: (2024)

Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
par: Lyu, Mingyang, et autres
Publié: (2025)

SafeMind: Benchmarking and Mitigating Safety Risks in Embodied LLM Agents
par: Chen, Ruolin, et autres
Publié: (2025)

Continual Learning of Multiple Cognitive Functions with Brain-inspired Temporal Development Mechanism
par: Han, Bing, et autres
Publié: (2025)

ForesightSafety Bench: A Frontier Risk Evaluation and Governance Framework towards Safe AI
par: Tong, Haibo, et autres
Publié: (2026)

Brain-inspired Action Generation with Spiking Transformer Diffusion Policy Model
par: Wang, Qianhao, et autres
Publié: (2024)

Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning
par: Sun, Yinqian, et autres
Publié: (2023)

Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning
par: Sun, Yinqian, et autres
Publié: (2025)

MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
par: Li, Zihan, et autres
Publié: (2026)

OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
par: Xu, Hainiu, et autres
Publié: (2024)

Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
par: Lu, Yi-Long, et autres
Publié: (2025)

CogLM: Tracking Cognitive Development of Large Language Models
par: Wang, Xinglin, et autres
Publié: (2024)

CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment
par: Feng, Rui, et autres
Publié: (2025)

CogInstrument: Modeling Cognitive Processes for Bidirectional Human-LLM Alignment in Planning Tasks
par: Wang, Anqi, et autres
Publié: (2026)

MTDP: A Modulated Transformer based Diffusion Policy Model
par: Wang, Qianhao, et autres
Publié: (2025)

CogBias: Measuring and Mitigating Cognitive Bias in Large Language Models
par: Huang, Fan, et autres
Publié: (2026)

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
par: Lv, Yaojia, et autres
Publié: (2024)

CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
par: Dang, Shengqi, et autres
Publié: (2026)

Beyond Context to Cognitive Appraisal: Emotion Reasoning as a Theory of Mind Benchmark for Large Language Models
par: Yeo, Gerard Christopher, et autres
Publié: (2025)

UniCog: Uncovering Cognitive Abilities of LLMs through Latent Mind Space Analysis
par: Liu, Jiayu, et autres
Publié: (2026)

MVPBench: A Benchmark and Fine-Tuning Framework for Aligning Large Language Models with Diverse Human Values
par: Liang, Yao, et autres
Publié: (2025)

Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
par: Pan, Wenxuan, et autres
Publié: (2024)

EgoCogNav: Cognition-aware Human Egocentric Navigation
par: Qiu, Zhiwen, et autres
Publié: (2025)

MOMENTS: A Comprehensive Multimodal Benchmark for Theory of Mind
par: Villa-Cueva, Emilio, et autres
Publié: (2025)

Position: Theory of Mind Benchmarks are Broken for Large Language Models
par: Riemer, Matthew, et autres
Publié: (2024)

ToMBench: Benchmarking Theory of Mind in Large Language Models
par: Chen, Zhuang, et autres
Publié: (2024)

VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
par: Li, Chenglin, et autres
Publié: (2024)

Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
par: Han, Bing, et autres
Publié: (2022)

CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph
par: Zhou, Tong, et autres
Publié: (2024)

XToM: Exploring the Multilingual Theory of Mind for Large Language Models
par: Chan, Chunkit, et autres
Publié: (2025)

Brain-inspired and Self-based Artificial Intelligence
par: Zeng, Yi, et autres
Publié: (2024)

Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language
par: Lee, Seungbeen, et autres
Publié: (2025)

A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering
par: Liang, Yao, et autres
Publié: (2023)

CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
par: Chen, Zhuofan, et autres
Publié: (2025)

CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
par: Wang, Xintong, et autres
Publié: (2024)

CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving
par: Liu, Pei, et autres
Publié: (2025)

Safety Instincts: LLMs Learn to Trust Their Internal Compass for Self-Defense
par: Shen, Guobin, et autres
Publié: (2025)

United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory
par: Shang, HaoYang, et autres
Publié: (2025)

Role and Mechanism of miR‐101b‐3p via Targeting TXNIP in Sevoflurane‐Induced Cognitive Impairment in Mice
par: Haitao Lou, et autres
Publié: (2025)