Learning What to Skip: Counterfactual Credit Assignment for Efficient Multi-Agent LLM Workflows
cs.AI
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- The Trace Is the State: Exact Credit Assignment for LLM Agent Teams
- Improving Factuality and Reasoning in Language Models through Multiagent Debate
- Scoring Verifiers: Evaluating Synthetic Verification for Code and Reasoning
- RouteLLM: Learning to Route LLMs with Preference Data
- Mixture-of-Agents Enhances Large Language Model Capabilities
- Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline
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