Buchumschlag

Large Language Models Need Consultants for Reasoning: Becoming an Expert in a Complex Human System Through Behavior Simulation

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Wang, Chuwen, Zeng, Shirong, Wang, Cheng
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Next-Generation Simulation Illuminates Scientific Problems of Organised Complexity
von: Wang, Cheng, et al.
Veröffentlicht: (2024)

SafeBehavior: Simulating Human-Like Multistage Reasoning to Mitigate Jailbreak Attacks in Large Language Models
von: Zhao, Qinjian, et al.
Veröffentlicht: (2025)

Human vs. Machine: Behavioral Differences Between Expert Humans and Language Models in Wargame Simulations
von: Lamparth, Max, et al.
Veröffentlicht: (2024)

RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation
von: Zhao, Jiahao, et al.
Veröffentlicht: (2025)

Probing the "Psyche'' of Large Reasoning Models: Understanding Through a Human Lens
von: Chen, Yuxiang, et al.
Veröffentlicht: (2025)

Seeing Through Experts Eyes A Foundational Vision Language Model Trained on Radiologists Gaze and Reasoning
von: Lee, Kinhei, et al.
Veröffentlicht: (2026)

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models
von: Chen, Yuanteng, et al.
Veröffentlicht: (2025)

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News
von: Liu, Yuhan, et al.
Veröffentlicht: (2025)

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
von: Zhao, Shuguang, et al.
Veröffentlicht: (2025)

Efficient Driving Behavior Narration and Reasoning on Edge Device Using Large Language Models
von: Huang, Yizhou, et al.
Veröffentlicht: (2024)

Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
von: Lu, Yi-Long, et al.
Veröffentlicht: (2025)

BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
von: Wang, Jianan, et al.
Veröffentlicht: (2024)

User Behavior Simulation with Large Language Model based Agents
von: Wang, Lei, et al.
Veröffentlicht: (2023)

HBTP: Heuristic Behavior Tree Planning with Large Language Model Reasoning
von: Cai, Yishuai, et al.
Veröffentlicht: (2024)

Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents
von: Sukiennik, Nicholas, et al.
Veröffentlicht: (2025)

Large Language Models are Near-Optimal Decision-Makers with a Non-Human Learning Behavior
von: Li, Hao, et al.
Veröffentlicht: (2025)

Generative Evaluation of Complex Reasoning in Large Language Models
von: Lin, Haowei, et al.
Veröffentlicht: (2025)

InjectRBP: Steering Large Language Model Reasoning Behavior via Pattern Injection
von: Wu, Xiuping, et al.
Veröffentlicht: (2026)

Can Large Language Model Agents Simulate Human Trust Behavior?
von: Xie, Chengxing, et al.
Veröffentlicht: (2024)

Training Stratigraphy: Persistent Behavioral Artifacts in Large Language Models Observed Through Longitudinal AI-Human Interaction
von: Claude, Chen Ying, et al.
Veröffentlicht: (2026)

Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models
von: Lin, Lei, et al.
Veröffentlicht: (2026)

Diverse Human Value Alignment for Large Language Models via Ethical Reasoning
von: Wang, Jiahao, et al.
Veröffentlicht: (2025)

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
von: Zhan, Yi, et al.
Veröffentlicht: (2025)

Large Language Models Do Not Simulate Human Psychology
von: Schröder, Sarah, et al.
Veröffentlicht: (2025)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
von: Xu, Benfeng, et al.
Veröffentlicht: (2023)

Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
von: Piedrahita, David Guzman, et al.
Veröffentlicht: (2025)

Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?
von: Jiang, Jin, et al.
Veröffentlicht: (2025)

LTA-thinker: Latent Thought-Augmented Training Framework for Large Language Models on Complex Reasoning
von: Wang, Jiaqi, et al.
Veröffentlicht: (2025)

Mixture of Experts in Large Language Models
von: Zhang, Danyang, et al.
Veröffentlicht: (2025)

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
von: Bougie, Nicolas, et al.
Veröffentlicht: (2025)

Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning
von: Li, Wenyao, et al.
Veröffentlicht: (2025)

Where Would I Go Next? Large Language Models as Human Mobility Predictors
von: Wang, Xinglei, et al.
Veröffentlicht: (2023)

Large Human Language Models: A Need and the Challenges
von: Soni, Nikita, et al.
Veröffentlicht: (2023)

Leveraging Large Language Model as Simulated Patients for Clinical Education
von: Li, Yanzeng, et al.
Veröffentlicht: (2024)

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
von: Chang, Ching, et al.
Veröffentlicht: (2025)

A Survey on Large Language Models for Mathematical Reasoning
von: Wang, Peng-Yuan, et al.
Veröffentlicht: (2025)

GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models
von: Yuan, Zike, et al.
Veröffentlicht: (2024)

Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language Models
von: Wang, Boxuan, et al.
Veröffentlicht: (2025)

From System 1 to System 2: A Survey of Reasoning Large Language Models
von: Li, Zhong-Zhi, et al.
Veröffentlicht: (2025)

GRPO and Reflection Reward for Mathematical Reasoning in Large Language Models
von: Wang, Zhijie
Veröffentlicht: (2026)