#reward-decomposition News & Analysis

2 articles tagged with #reward-decomposition. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 26/10

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LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition

Researchers introduce LC-ERD, a framework for improving Large Language Model reasoning by mining high-quality supervision signals through consistency-regulated reward decomposition. The method addresses critical challenges in self-aligned LLM training by reducing label noise, providing granular step-level guidance, and preventing distributional collapse, demonstrating potential improvements in reasoning quality and generalization.

AIBullisharXiv – CS AI · Mar 37/107

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ToolRLA: Fine-Grained Reward Decomposition for Tool-Integrated Reinforcement Learning Alignment in Domain-Specific Agents

Researchers developed ToolRLA, a three-stage reinforcement learning pipeline that significantly improves AI agents' ability to use external tools and APIs for domain-specific tasks. The system achieved 47% higher task completion rates and 93% lower regulatory violations when deployed in a real-world financial advisory copilot serving 80+ advisors with 1,200+ daily queries.