:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Tianyi, Zhou, Xiaolin, Wang, Yunzhe, Cambria, Erik, Traum, David, Mao, Rui
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.20252
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
by: Mao, Rui, et al.
Published: (2025)

Rethinking Evaluation in Retrieval-Augmented Personalized Dialogue: A Cognitive and Linguistic Perspective
by: Zhang, Tianyi, et al.
Published: (2026)

Logical Reasoning over Natural Language as Knowledge Representation: A Survey
by: Yang, Zonglin, et al.
Published: (2023)

LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
by: Shen, Tiesunlong, et al.
Published: (2026)

TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models
by: Bai, David, et al.
Published: (2024)

Enhancing Language Models for Robust Greenwashing Detection
by: Braun, Neil Heinrich, et al.
Published: (2026)

Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
by: Ong, Keane, et al.
Published: (2025)

ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics
by: Varshney, Deeksha, et al.
Published: (2025)

GPTEval: A Survey on Assessments of ChatGPT and GPT-4
by: Mao, Rui, et al.
Published: (2023)

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond
by: Xu, Fangzhi, et al.
Published: (2023)

Affective Flow Language Model for Emotional Support Conversation
by: Zou, Chenghui, et al.
Published: (2026)

Towards Robust ESG Analysis Against Greenwashing Risks: Aspect-Action Analysis with Cross-Category Generalization
by: Ong, Keane, et al.
Published: (2025)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models
by: Lin, Qika, et al.
Published: (2025)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
by: Niu, Qian, et al.
Published: (2024)

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
by: Yang, Zonglin, et al.
Published: (2023)

Cognitive Memory in Large Language Models
by: Shan, Lianlei, et al.
Published: (2025)

Cognitive Effects in Large Language Models
by: Shaki, Jonathan, et al.
Published: (2023)

Self-Cognition in Large Language Models: An Exploratory Study
by: Chen, Dongping, et al.
Published: (2024)

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
by: Zhang, Mian, et al.
Published: (2024)

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

Negation Blindness in Large Language Models: Unveiling the NO Syndrome in Image Generation
by: Nadeem, Mohammad, et al.
Published: (2024)

Do Large Language Models Mirror Cognitive Language Processing?
by: Ren, Yuqi, et al.
Published: (2024)

LARFT: Closing the Cognition-Action Gap for Length Instruction Following in Large Language Models
by: Zhang, Wei, et al.
Published: (2026)

Benchmarking Cognitive Biases in Large Language Models as Evaluators
by: Koo, Ryan, et al.
Published: (2023)

MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning
by: Zhang, Jian, et al.
Published: (2025)

A Universal Space of Brain Dynamics for Unveiling Cognitive Transitions and Individual Differences
by: Zheng, Ronghua, et al.
Published: (2026)

A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist
by: Jeon, Sohyeon, et al.
Published: (2025)

Addressing Longstanding Challenges in Cognitive Science with Language Models
by: Wulff, Dirk U., et al.
Published: (2025)

CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment
by: Feng, Rui, et al.
Published: (2025)

CogBias: Measuring and Mitigating Cognitive Bias in Large Language Models
by: Huang, Fan, et al.
Published: (2026)

From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language Models
by: Zhou, Chenyue, et al.
Published: (2025)

Enhancing Cognitive Diagnosis by Modeling Learner Cognitive Structure State
by: Chen, Zhifu, et al.
Published: (2024)

Evaluating Neural Language Models as Cognitive Models of Language Acquisition
by: Martínez, Héctor Javier Vázquez, et al.
Published: (2023)

CogSimulator: A Model for Simulating User Cognition & Behavior with Minimal Data for Tailored Cognitive Enhancement
by: Bian, Weizhen, et al.
Published: (2024)

Convergent Evolution: How Different Language Models Learn Similar Number Representations
by: Fu, Deqing, et al.
Published: (2026)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
by: Li, Wenjun, et al.
Published: (2025)

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

Cognitive Inception: Agentic Reasoning against Visual Deceptions by Injecting Skepticism
by: Zhao, Yinjie, et al.
Published: (2025)

Cognitive Biases in Large Language Models for News Recommendation
by: Lyu, Yougang, et al.
Published: (2024)