AINeutralarXiv – CS AI · Mar 37/106
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ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning
Researchers introduce ProtRLSearch, a multi-round protein search agent that uses reinforcement learning and multimodal inputs (protein sequences and text) to improve protein analysis for healthcare applications. The system addresses limitations of single-round, text-only protein search agents and includes a new benchmark called ProtMCQs with 3,000 multiple choice questions for evaluation.