#reasoning-chains2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago2

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DenoiseFlow: Uncertainty-Aware Denoising for Reliable LLM Agentic Workflows

Researchers introduce DenoiseFlow, a framework that addresses reliability issues in AI agent workflows by managing uncertainty through adaptive computation allocation and error correction. The system achieves 83.3% average accuracy across benchmarks while reducing computational costs by 40-56% through intelligent branching decisions.

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AINeutralarXiv – CS AI · 4h ago2

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MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains

Researchers introduce MC-Search, the first benchmark for evaluating agentic multimodal retrieval-augmented generation (MM-RAG) systems with long, structured reasoning chains. The benchmark reveals systematic issues in current multimodal large language models and introduces Search-Align, a training framework that improves planning and retrieval accuracy.