EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery (2026.acl-long)
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| Challenge: | Existing methods for large language models (LLMs) face challenges in the design of research workflows and multi-role collaboration mechanisms. |
| Approach: | They propose a multi-agent scientific collaboration framework which integrates bio-inspired evolution with knowledge graph modeling. |
| Outcome: | EvoSci outperforms baselines in peer-review and ranking evaluations on real-world research topics. |
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