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Artwork for Learning GenAI via SOTA Papers
Learning GenAI via SOTA Papers · Wednesday · 21 min

EP503: How FLARE Fixes AI Coding Errors

Title: FLARE: A Full-Lifecycle Dense Supervision Paradigm for Long-Horizon Coding Agents via Generative Reward Model Source: http://arxiv.org/abs/2609.23808v1 Summary:This paper proposes FLARE, a full-lifecycle dense supervision paradigm for long-horizon coding agents, leveraging a generative reward model. This framework offers a novel approach to agentic reasoning and learning by addressing sparse reward challenges and improving efficiency for multi-step, complex tasks.

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Title: FLARE: A Full-Lifecycle Dense Supervision Paradigm for Long-Horizon Coding Agents via Generative Reward Model

Source: http://arxiv.org/abs/2609.23808v1

Summary:This paper proposes FLARE, a full-lifecycle dense supervision paradigm for long-horizon coding agents, leveraging a generative reward model. This framework offers a novel approach to agentic reasoning and learning by addressing sparse reward challenges and improving efficiency for multi-step, complex tasks.


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