mlsanityData to 14 Oct 2026

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration

arXiv 2509.04876 ↗First posted 5 Sep 2025cs.AIcited by 30

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

This paper introduces OSC (Orchestrating Cognitive Synergy), a knowledge-aware adaptive collaboration framework designed to enhance cognitive synergy in multi-agent systems with large language models. While prior work has advanced agent selection and result aggregation, efficient linguistic interactions for deep collaboration among expert agents remain a critical bottleneck. OSC addresses this gap as a pivotal intermediate layer between selection and aggregation, introducing Collaborator Knowledge Models (CKM) to enable each agent to dynamically perceive its collaborators' cognitive states. Through real-time cognitive gap analysis, agents adaptively adjust communication behaviors, including content focus, detail level, and expression style, using learned strategies. Experiments on complex reasoning and problem-solving benchmarks demonstrate that OSC significantly improves task performance and communication efficiency, transforming "parallel-working individuals'' into a "deeply collaborative cognitive team.'' This framework not only optimizes multi-agent collaboration but also offers new insights into LLM agent interaction behaviors.

Key facts. Cited by 30 papers in the map (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 14 of its 27 references that are in the map. First posted on arXiv 5 Sep 2025.

Builds on

14 of 27 references.

Closest ancestors · 2

Same direction, newest first

  1. 2024Mixture-of-Agents Enhances Large Language Model Capabilities7 Jun
  2. 2024Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?28 Feb

Other references · 12

  1. 2017Proximal Policy Optimization Algorithmscited by 15,215
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,784
  4. 2023FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performancecited by 853
  5. 2023Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology Viewcited by 222
  6. 2025Multiagent Finetuning: Self Improvement with Diverse Reasoning Chainscited by 95
  7. 2025CF-VLM:CounterFactual Vision-Language Fine-tuningcited by 59
  8. 2025GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoningcited by 58
  9. 2024INMS: Memory Sharing for Large Language Model based Agentscited by 31
  10. 2024DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metricscited by 14
  11. 2024Towards Incremental Learning in Large Language Models: A Critical Reviewcited by 6
  12. 2025Dynamic LLM Routing and Selection based on User Preferences: Balancing Performance, Cost, and Ethicscited by 6

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 18; 2026: 12.

30 papers.

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  1. 2025MAT-Agent: Adaptive Multi-Agent Training Optimizationcited by 35
  2. 2025Failure-Driven Workflow Refinementcited by 20
  3. 2025Top-Down Semantic Refinement for Image Captioningcited by 16
  4. 2025RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliabilitycited by 14
  5. 2025Cost-Effective Communication: An Auction-based Method for Language Agent Interactioncited by 14
  6. 2025Distributional AGI Safetycited by 12
  7. 2026AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-Playingcited by 9
  8. 2025STORM: Search-Guided Generative World Models for Robotic Manipulationcited by 7
  9. 2026PerspectiveGap: A Benchmark for Multi-Agent Orchestration Promptingcited by 6
  10. 2026Dynamic Role Assignment for Multi-Agent Debatecited by 5
  11. 2025MultiMotion: Multi Subject Video Motion Transfer via Video Diffusion Transformercited by 3
  12. 2026CASTER: Breaking the Cost-Performance Barrier in Multi-Agent Orchestration via Context-Aware Strategy for Task Efficient Routingcited by 3
18 more
  1. 2026Multi-Agent Constraint Factorization Reveals Latent Invariant Solution Structurecited by 2
  2. 2026AgriWorld:A World Tools Protocol Framework for Verifiable Agricultural Reasoning with Code-Executing LLM Agentscited by 2
  3. 2026Multi-Agent Coordination Adaptation via Structure-Guided Orchestrationcited by 2
  4. 2025MoE-DiffuSeq: Enhancing Long-Document Diffusion Models with Sparse Attention and Mixture of Expertscited by 1
  5. 2026A Safety-Aware Role-Orchestrated Multi-Agent LLM Framework for Behavioral Health Communication Simulationcited by 1
  6. 2025Guardian: Decoupling Exploration from Safety in Reinforcement Learningcited by 0
  7. 2025Voice-Interactive Surgical Agent for Multimodal Patient Data Controlcited by 0
  8. 2025SirenPose: Dynamic Scene Reconstruction via Geometric Supervisioncited by 0
  9. 2025SA-DiffuSeq: Addressing Computational and Scalability Challenges in Long-Document Generation with Sparse Attentioncited by 0
  10. 2025A Three-Level Alignment Framework for Large-Scale 3D Retrieval and Controlled 4D Generationcited by 0
  11. 2025Learning Dynamic Scene Reconstruction with Sinusoidal Geometric Priorscited by 0
  12. 2025Towards Efficient Post-Training via Fourier-Driven Adapter Architecturescited by 0
  13. 2025Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domainscited by 0
  14. 2025Forgetting as a Feature: Cognitive Alignment of Large Language Modelscited by 0
  15. 2026Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Conceptscited by 0
  16. 2026LogicGaze: Benchmarking Causal Consistency in Visual Narratives via Counterfactual Verificationcited by 0
  17. 2026Bridging the Semantic Chasm: Synergistic Conceptual Anchoring for Generalized Few-Shot and Zero-Shot OOD Perceptioncited by 0
  18. 2026CacheScope: Exact-Compute Allocation for Training-Free Diffusion Accelerationcited by 0

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  1. 2025Towards Cognitive Synergy in LLM-Based Multi-Agent Systems: Integrating Theory of Mind and Critical Evaluation
  2. 2025Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study
  3. 2026MetaCogAgent: A Metacognitive Multi-Agent LLM Framework with Self-Aware Task Delegation
  4. 2026Competence-Aware Orchestration for LLM-Based Multi-Agent Systems
  5. 2025Multi-Agent Collaboration via Evolving Orchestration
  6. 2026Guided Collaboration in Heterogeneous LLM-Based Multi-Agent Systems via Entropy-Based Understanding Assessment and Experience Retrieval
  7. 2024AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent Collaboration
  8. 2025Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System