Cover Image

Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Baixuan, Li, Chunyang, Wang, Weiqi, Fan, Wei, Zheng, Tianshi, Shi, Haochen, Fan, Tao, Song, Yangqiu, Yang, Qiang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

INFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge Profiling
by: Shi, Haochen, et al.
Published: (2025)

Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations
by: Li, Chunyang, et al.
Published: (2025)

Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents
by: Fan, Wei, et al.
Published: (2025)

CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration?
by: Zong, Qing, et al.
Published: (2025)

The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas
by: Xu, Baixuan, et al.
Published: (2025)

DixitWorld: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay
by: Mo, Yunxiang, et al.
Published: (2025)

EcomEdit: An Automated E-commerce Knowledge Editing Framework for Enhanced Product and Purchase Intention Understanding
by: Lau, Ching Ming Samuel, et al.
Published: (2024)

The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning
by: Zheng, Tianshi, et al.
Published: (2025)

On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
by: Wang, Weiqi, et al.
Published: (2024)

NAACL: Noise-AwAre Verbal Confidence Calibration for Robust LLMs in RAG Systems
by: Liu, Jiayu, et al.
Published: (2026)

Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework
by: Deng, Zheye, et al.
Published: (2025)

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
by: Wang, Weiqi, et al.
Published: (2024)

MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset
by: Wang, Weiqi, et al.
Published: (2024)

LLM-Hanabi: Evaluating Multi-Agent Gameplays with Theory-of-Mind and Rationale Inference in Imperfect Information Collaboration Game
by: Liang, Fangzhou, et al.
Published: (2025)

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
by: Zheng, Tianshi, et al.
Published: (2024)

Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
by: Yim, Yauwai, et al.
Published: (2024)

Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning
by: Fan, Wei, et al.
Published: (2026)

Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction
by: Deng, Zheye, et al.
Published: (2024)

LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
by: Zheng, Tianshi, et al.
Published: (2025)

MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
by: Jing, Huihao, et al.
Published: (2025)

Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty
by: Wang, Rui, et al.
Published: (2025)

SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning
by: Zheng, Tianshi, et al.
Published: (2026)

AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
by: Tsang, Hong Ting, et al.
Published: (2025)

MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
by: Lu, Feihong, et al.
Published: (2024)

OmniCompliance-100K: A Multi-Domain, Rule-Grounded, Real-World Safety Compliance Dataset
by: Hu, Wenbin, et al.
Published: (2026)

Chain-of-Choice Hierarchical Policy Learning for Conversational Recommendation
by: Fan, Wei, et al.
Published: (2023)

GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
by: Fan, Wei, et al.
Published: (2024)

Safety Compliance: Rethinking LLM Safety Reasoning through the Lens of Compliance
by: Hu, Wenbin, et al.
Published: (2025)

Towards Subgraph Isomorphism Counting with Graph Kernels
by: Liu, Xin, et al.
Published: (2024)

SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition
by: Zheng, Naiyu, et al.
Published: (2026)

Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing
by: Guo, Bingcan, et al.
Published: (2025)

ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
by: Zhang, Liyu, et al.
Published: (2024)

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
by: Bai, Jiaxin, et al.
Published: (2023)

From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
by: Zheng, Tianshi, et al.
Published: (2025)

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents
by: Zheng, Tianshi, et al.
Published: (2025)

Refer-Agent: A Collaborative Multi-Agent System with Reasoning and Reflection for Referring Video Object Segmentation
by: Jiang, Haichao, et al.
Published: (2026)

ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty
by: Zong, Qing, et al.
Published: (2024)

CLR-Fact: Evaluating the Complex Logical Reasoning Capability of Large Language Models over Factual Knowledge
by: Zheng, Tianshi, et al.
Published: (2024)

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
by: Wang, Qineng, et al.
Published: (2024)

SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding
by: Yang, Yuqi, et al.
Published: (2025)