Papers arxiv:2605.10813 NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation Published on May 11 Submitted by taesiri on May 12 Authors: , , , , , , , , Siyuan Li , , , , , , Cheng Tan Abstract NanoResearch is a multi-agent framework that enhances research autom… …
… ResRL then projects negative-token hidden representations onto an SVD-based low-rank positive subspace and uses projection residuals to modulate negative gradients, improving reasoning while preserving diversity and outperforming strong baselines on average across twelve benchmarks spanning Mathema… …
… To our knowledge, no work has addressed the automation of high-cost LLM experiment configurations, leaving this problem labor-intensive and dependent on expert intuition. …
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… Experiments reveal that reliable workflow automation remains far from solved: the leading model passes only 66.7% of tasks and no model reaches 70%. …
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…Weiyu Sun , , , , , Abstract EDU-CIRCUIT-HW dataset reveals significant limitations in MLLMs' ability to accurately interpret complex STEM handwritten solutions, prompting a hybrid approach combining automated recognition with minimal human oversight for…
…Víctor Gallego Abstract A benchmark for optimizing scientific computing kernels on Apple Silicon is paired with an automated search framework that uses a large language model in a evolutionary loop to optimize…
… This work reveals that these optimization strategies share a common geometric structure: each implicitly defines a target distribution on the response simplex and projects toward it via first-order approximation . …
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