MARS: Multi-Specialist LLM Relay System for Competitive Programming

arXiv:2608.23918 · cs.AI, cs.MA, cs.PL · Submitted 2026-08-24 · Read on arXiv

cs.AI, cs.MA, cs.PL

Submitted: 2026-08-24

Updated: 2026-08-24

Code: https://github.com/fckand/mars

Terminology

• RAG — 28× in this paper · explained in 3 episodes
• Multi-Agent System — 5× in this paper · explained in 6 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multi-Agent Relay of Specialized LLMs — 1× in this paper
• Post-Selection — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Thirteenth International Conference on Learning Representations — 1× in this paper
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• AutoAgents: A Framework for Automatic Agent Generation
• Evaluating Large Language Models Trained on Code
• A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
• xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
• AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
• MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
• Teaching Large Language Models to Self-Debug
• CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
• Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
• Large Language Model based Multi-Agents: A Survey of Progress and Challenges
• Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team
• AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
• A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
• Self-Refine: Iterative Refinement with Self-Feedback
• Can Language Models Solve Olympiad Programming?
• Reflexion: Language Agents with Verbal Reinforcement Learning
• MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
• Multi-Agent Collaboration Mechanisms: A Survey of LLMs
• DocPrompting: Generating Code by Retrieving the Docs
• Mixture-of-Agents Enhances Large Language Model Capabilities

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