Imagen de Portada

The Other Mind: How Language Models Exhibit Human Temporal Cognition

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Li, Lingyu, Yao, Yang, Wang, Yixu, Li, Chubo, Teng, Yan, Wang, Yingchun
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Reflection-Bench: Evaluating Epistemic Agency in Large Language Models
por: Li, Lingyu, et al.
Publicado: (2024)

Mechanistic Origin of Moral Indifference in Language Models
por: Li, Lingyu, et al.
Publicado: (2026)

AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models
por: Wang, Yixu, et al.
Publicado: (2025)

Towards Context-Invariant Safety Alignment for Large Language Models
por: Wang, Yixu, et al.
Publicado: (2026)

LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language Models
por: Ning, Zhiyuan, et al.
Publicado: (2025)

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?
por: Yao, Yang, et al.
Publicado: (2025)

Probing the Robustness of Large Language Models Safety to Latent Perturbations
por: Gu, Tianle, et al.
Publicado: (2025)

A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos
por: Yao, Yang, et al.
Publicado: (2025)

Dr. Bench: A Multidimensional Evaluation for Deep Research Agents, from Answers to Reports
por: Yao, Yang, et al.
Publicado: (2025)

IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
por: Wang, Ruofan, et al.
Publicado: (2024)

SafeVid: Toward Safety Aligned Video Large Multimodal Models
por: Wang, Yixu, et al.
Publicado: (2025)

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
por: Gu, Tianle, et al.
Publicado: (2024)

Cognitive-Aligned Spatio-Temporal Large Language Models For Next Point-of-Interest Prediction
por: Zhai, Penglong, et al.
Publicado: (2025)

Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
por: Opedal, Andreas, et al.
Publicado: (2024)

Fake Alignment: Are LLMs Really Aligned Well?
por: Wang, Yixu, et al.
Publicado: (2023)

A-IO: Adaptive Inference Orchestration for Memory-Bound NPUs
por: Zhang, Chen, et al.
Publicado: (2026)

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test
por: Hao, Guangfu, et al.
Publicado: (2025)

From Sparse Decisions to Dense Reasoning: A Multi-attribute Trajectory Paradigm for Multimodal Moderation
por: Gu, Tianle, et al.
Publicado: (2026)

CogToM: A Comprehensive Theory of Mind Benchmark inspired by Human Cognition for Large Language Models
por: Tong, Haibo, et al.
Publicado: (2026)

MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts
por: Gu, Tianle, et al.
Publicado: (2024)

MetaMind: General and Cognitive World Models in Multi-Agent Systems by Meta-Theory of Mind
por: Wang, Lingyi, et al.
Publicado: (2026)

Flames: Benchmarking Value Alignment of LLMs in Chinese
por: Huang, Kexin, et al.
Publicado: (2023)

Language Models Exhibit Inconsistent Biases Towards Algorithmic Agents and Human Experts
por: Bo, Jessica Y., et al.
Publicado: (2026)

SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition
por: Xu, Peiran, et al.
Publicado: (2025)

CogLM: Tracking Cognitive Development of Large Language Models
por: Wang, Xinglin, et al.
Publicado: (2024)

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
por: Hu, Zhengyu, et al.
Publicado: (2025)

World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation Models
por: Ruan, Shouwei, et al.
Publicado: (2026)

GhostEI-Bench: Do Mobile Agents Resilience to Environmental Injection in Dynamic On-Device Environments?
por: Chen, Chiyu, et al.
Publicado: (2025)

Modeling Others' Minds as Code
por: Jha, Kunal, et al.
Publicado: (2025)

Language Models Largely Exhibit Human-like Constituent Ordering Preferences
por: Tur, Ada Defne, et al.
Publicado: (2025)

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
por: Liao, Haicheng, et al.
Publicado: (2025)

Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settings
por: Gao, Lingyu
Publicado: (2024)

MindCraft: How Concept Trees Take Shape In Deep Models
por: Tian, Bowei, et al.
Publicado: (2025)

Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses
por: Amirizaniani, Maryam, et al.
Publicado: (2024)

How to Exhibit More Predictable Behaviors
por: Lepers, Salomé, et al.
Publicado: (2024)

Automatic Minds: Cognitive Parallels Between Hypnotic States and Large Language Model Processing
por: Riva, Giuseppe, et al.
Publicado: (2025)

Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias
por: Itzhak, Itay, et al.
Publicado: (2023)

Beyond Correctness: Confidence-Aware Reward Modeling for Enhancing Large Language Model Reasoning
por: He, Qianxi, et al.
Publicado: (2025)

Do LLMs Know When to Flip a Coin? Strategic Randomization through Reasoning and Experience
por: Yang, Lingyu
Publicado: (2025)

Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models
por: Chen, Zhawnen, et al.
Publicado: (2024)