Verifier-backed committee search boosts a weak reasoning model from 67% to 76.4% on SWE-bench Verified, matching stronger models by using local soundness signals to select among proposals.
HuggingGPT: Solving AI tasks with ChatGPT and its friends in Hugging Face
2 Pith papers cite this work. Polarity classification is still indexing.
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Swarm Skills is a portable multi-agent coordination specification with roles, workflows, bounds, and a self-evolution algorithm that distills trajectories using Effectiveness, Utilization, and Freshness scores for zero-adapter portability.
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Agentic Systems as Boosting Weak Reasoning Models
Verifier-backed committee search boosts a weak reasoning model from 67% to 76.4% on SWE-bench Verified, matching stronger models by using local soundness signals to select among proposals.
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Swarm Skills: A Portable, Self-Evolving Multi-Agent System Specification for Coordination Engineering
Swarm Skills is a portable multi-agent coordination specification with roles, workflows, bounds, and a self-evolution algorithm that distills trajectories using Effectiveness, Utilization, and Freshness scores for zero-adapter portability.