AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents

arXiv:2603.26034 · cs.CL · Submitted 2026-03-27 · Read on arXiv

cs.CL

Submitted: 2026-03-27

Updated: 2026-10-30

Terminology

• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Long-horizon reasoning — 1× in this paper · explained in 2 episodes
• Pareto Frontier — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• computational cost — 1× in this paper · explained in 2 episodes

Related papers

• Real-World Evaluation of an AI Agent Drafting Translational Impact Summaries
• HEART-Bench: Do LLMs Make Persona-Consistent Decisions?
• Every Coin Has Two Sides: On the Dual Nature of Generalization in On-Policy Distillation of Large Language Models
• What MLLMs Learn about When they Learn about Multimodal Reasoning
• AnnoCaseLaw: Legal Annotation Benchmark of Civil Negligence
• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving