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EvoDuet enhances LLM scientific discovery via co-evolved search and solutions · 3 sources tracked

By PulseAugur Editorial · [3 sources] ·

Researchers have developed EvoDuet, a novel bilevel optimization method designed to enhance scientific discovery by improving how large language models (LLMs) utilize external knowledge. This method co-evolves solutions and search queries, allowing LLMs to dynamically assess knowledge gaps and decide whether to retrieve new documents, reuse existing ones, or proceed without external information. EvoDuet has demonstrated significant gains in normalized discovery, particularly with models like GPT-5.6-Luna and Gemini-3.8-Flash, outperforming previous methods on several optimization tasks. AI

IMPACT Enhances LLM capabilities in scientific discovery by improving knowledge retrieval and task-solving integration.

RANK_REASON The cluster describes a new research paper detailing a novel method for improving LLM performance on scientific discovery tasks.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

EvoDuet enhances LLM scientific discovery via co-evolved search and solutions · 3 sources tracked

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The cluster describes a new research paper detailing a novel method for improving LLM performance on scientific discovery tasks.
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COVERAGE [3]

  1. arXiv cs.CL TIER_1 English(EN) · Young-Jun Lee, Jinheon Baek, Soyeong Jeong, Minki Kang, Seungyeon Jwa, Jonghyun Choi, Seungho Han, Dongyeop Kang ·

    EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery

    arXiv:2609.40340v1 Announce Type: new Abstract: Evolutionary search with large language models (LLMs) can stall when progress requires external knowledge the model lacks. Supplying relevant documents helps, but simply adding web search tool can keep returning the same pages as so…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery

    Evolutionary search with large language models (LLMs) can stall when progress requires external knowledge the model lacks. Supplying relevant documents helps, but simply adding web search tool can keep returning the same pages as solutions change. We introduce EvoDuet, a bi-level…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery

    Evolutionary search with large language models (LLMs) can stall when progress requires external knowledge the model lacks. Supplying relevant documents helps, but simply adding web search tool can keep returning the same pages as solutions change. We introduce EvoDuet, a bi-level…

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