NovelSeek：當智能體化身科學家——從假設到驗證的閉環系統構建

摘要

人工智慧（AI）正加速推動科學研究範式的轉型，不僅提升了研究效率，更驅動了創新。我們介紹了NovelSeek，這是一個統一的閉環多代理框架，旨在跨多個科學研究領域進行自主科學研究（ASR），使研究人員能夠以前所未有的速度和精確度解決這些領域中的複雜問題。NovelSeek凸顯了三大關鍵優勢：1) 可擴展性：NovelSeek在12項科學研究任務中展現了其多功能性，能夠生成創新想法以提升基準代碼的性能。2) 互動性：NovelSeek提供了一個介面，用於在自動化端到端流程中接收人類專家反饋並實現多代理互動，從而無縫整合領域專家知識。3) 效率：NovelSeek在多個科學領域中實現了顯著的性能提升，且所需時間成本遠低於人類努力。例如，在反應產率預測中，僅用12小時就從27.6%提升至35.4%；在增強子活性預測中，準確率在4小時處理後從0.52上升至0.79；而在二維語義分割中，精確度在短短30小時內從78.8%進步到81.0%。

English

Artificial Intelligence (AI) is accelerating the transformation of scientific research paradigms, not only enhancing research efficiency but also driving innovation. We introduce NovelSeek, a unified closed-loop multi-agent framework to conduct Autonomous Scientific Research (ASR) across various scientific research fields, enabling researchers to tackle complicated problems in these fields with unprecedented speed and precision. NovelSeek highlights three key advantages: 1) Scalability: NovelSeek has demonstrated its versatility across 12 scientific research tasks, capable of generating innovative ideas to enhance the performance of baseline code. 2) Interactivity: NovelSeek provides an interface for human expert feedback and multi-agent interaction in automated end-to-end processes, allowing for the seamless integration of domain expert knowledge. 3) Efficiency: NovelSeek has achieved promising performance gains in several scientific fields with significantly less time cost compared to human efforts. For instance, in reaction yield prediction, it increased from 27.6% to 35.4% in just 12 hours; in enhancer activity prediction, accuracy rose from 0.52 to 0.79 with only 4 hours of processing; and in 2D semantic segmentation, precision advanced from 78.8% to 81.0% in a mere 30 hours.

NovelSeek：當智能體化身科學家——從假設到驗證的閉環系統構建

NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification

摘要

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