Cover Image

Requesting Expert Reasoning: Augmenting LLM Agents with Learned Collaborative Intervention

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhiming, He, Jinwei, Lu, Feng
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CauseJudger: Identifying the Cause with LLMs for Abductive Logical Reasoning
by: He, Jinwei, et al.
Published: (2024)

OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents
by: Feng, Yichao, et al.
Published: (2026)

Reinforcement Learning-Augmented LLM Agents for Collaborative Decision Making and Performance Optimization
by: Qiu, Dong, et al.
Published: (2025)

Collaborative LLM Numerical Reasoning with Local Data Protection
by: Zhang, Min, et al.
Published: (2025)

Collaborative Belief Reasoning with LLMs for Efficient Multi-Agent Collaboration
by: Wang, Zhimin, et al.
Published: (2025)

Retro-Expert: Collaborative Reasoning for Interpretable Retrosynthesis
by: Li, Xinyi, et al.
Published: (2025)

One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
by: Yang, Xu, et al.
Published: (2025)

Zipage: Maintain High Request Concurrency for LLM Reasoning through Compressed PagedAttention
by: Liao, Mengqi, et al.
Published: (2026)

Coarse-to-Fine Grounded Memory for LLM Agent Planning
by: Yang, Wei, et al.
Published: (2025)

ExpertAgent: Enhancing Personalized Education through Dynamic Planning and Retrieval-Augmented Long-Chain Reasoning
by: Zhu, Binrong, et al.
Published: (2025)

Multi-Agent Collaborative Reward Design for Enhancing Reasoning in Reinforcement Learning
by: Yang, Pei, et al.
Published: (2025)

Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation
by: Zhang, Enci, et al.
Published: (2025)

LLM Collaboration With Multi-Agent Reinforcement Learning
by: Liu, Shuo, et al.
Published: (2025)

AutoFeedback: An LLM-based Framework for Efficient and Accurate API Request Generation
by: Liu, Huanxi, et al.
Published: (2024)

Reasoning about Intent for Ambiguous Requests
by: Saparina, Irina, et al.
Published: (2025)

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

Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
by: Yu, En, et al.
Published: (2025)

Collaborative Agent Reasoning Engineering (CARE): A Three-Party Design Methodology for Systematically Engineering AI Agents with Subject Matter Experts, Developers, and Helper Agents
by: Ramachandran, Rahul, et al.
Published: (2026)

On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents
by: Huang, Jen-tse, et al.
Published: (2024)

Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
by: Hu, Zhiyuan, et al.
Published: (2026)

Ascendra: Dynamic Request Prioritization for Efficient LLM Serving
by: Ikram, Azam, et al.
Published: (2025)

MSCoRe: A Benchmark for Multi-Stage Collaborative Reasoning in LLM Agents
by: Lei, Yuzhen, et al.
Published: (2025)

Exploring Expert Failures Improves LLM Agent Tuning
by: Lan, Li-Cheng, et al.
Published: (2025)

GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis
by: Yu, Bo, et al.
Published: (2026)

MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning
by: Nguyen, Thang, et al.
Published: (2025)

Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent
by: Liu, Yiming, et al.
Published: (2026)

AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence
by: Ma, Bo, et al.
Published: (2025)

Retrieval-Augmented LLM Agents: Learning to Learn from Experience
by: Ferraz, Thomas Palmeira, et al.
Published: (2026)

STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems
by: Zhang, Guijia, et al.
Published: (2026)

When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests
by: Nachuma, Costain, et al.
Published: (2026)

Adaptive Reasoning Executor: A Collaborative Agent System for Efficient Reasoning
by: Ling, Zehui, et al.
Published: (2025)

SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation
by: Soumma, Shovito Barua, et al.
Published: (2025)

Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
by: Yang, Zhen, et al.
Published: (2025)

Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing
by: Hu, Jinwei, et al.
Published: (2025)

Graph-Augmented Reasoning: Evolving Step-by-Step Knowledge Graph Retrieval for LLM Reasoning
by: Wu, Wenjie, et al.
Published: (2025)

KRAL: Knowledge and Reasoning Augmented Learning for LLM-assisted Clinical Antimicrobial Therapy
by: Li, Zhe, et al.
Published: (2025)

Helmsman: Autonomous Synthesis of Federated Learning Systems via Collaborative LLM Agents
by: Li, Haoyuan, et al.
Published: (2025)

CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering
by: Zhao, Jinkun, et al.
Published: (2025)

Group Think: Multiple Concurrent Reasoning Agents Collaborating at Token Level Granularity
by: Hsu, Chan-Jan, et al.
Published: (2025)

PrefixGuard: From LLM-Agent Traces to Online Failure-Warning Monitors
by: Huang, Xinmiao, et al.
Published: (2026)