DHCG: Dynamic Construction of Hierarchical Collaboration Graphs for LLM-Based Multi-Agent Reasoning
cs.AI
Submitted: 2026-10-06
Updated: 2026-10-06
Comments: 9 pages, 4 figures, 4 tables
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- Training Verifiers to Solve Math Word Problems
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
- EvoMAS: Evolutionary Generation of Multi-Agent Systems
- Workflow-R1: Group Sub-sequence Policy Optimization for Multi-turn Workflow Construction
- OpenAI GPT-5 System Card
- InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
- MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
- AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
- DyFlow: Dynamic Workflow Framework for Agentic Reasoning
- ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
- Qwen3 Technical Report
- CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
- FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
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