3 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Large reasoning models achieve strong performance on challenging tasks, but their long chain-of-thought often incurs substantial inference costs by continuing to deliberate after sufficient information has been obtained. Existing reasoning compression methods primarily operate on reasoning trajectories, paying less att...
InsightEmb is a contrastive embedding framework that learns transferable progress-oriented retrieval geometry using only mathematical reasoning data, enabling effective training from publicly available reasoning data without expensive environment-specific supervision.
The Relevance-Aware RipGrep Search Agent (RARG) is introduced, which turns relevance into an execution prior for corpus interaction, and demonstrates that relevance-aware interaction enables faster and more reliable search convergence.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
