The paper introduces CoLabScience with PULI, a positive-unlabeled RL framework for proactive interventions in streaming biomedical dialogues, plus the BSDD benchmark dataset, claiming superior performance over baselines.
Large language models as biomedical hypothesis generators: a comprehensive evaluation
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A survey that deconstructs LLM agent systems via a methodology-centered taxonomy linking design principles to emergent behaviors, applications, and challenges.
Position paper claims multimodal LLMs can significantly advance scientific reasoning and proposes a four-stage roadmap plus challenges and suggestions.
citing papers explorer
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"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations
The paper introduces CoLabScience with PULI, a positive-unlabeled RL framework for proactive interventions in streaming biomedical dialogues, plus the BSDD benchmark dataset, claiming superior performance over baselines.
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Large Language Model Agent: A Survey on Methodology, Applications and Challenges
A survey that deconstructs LLM agent systems via a methodology-centered taxonomy linking design principles to emergent behaviors, applications, and challenges.
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Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Position paper claims multimodal LLMs can significantly advance scientific reasoning and proposes a four-stage roadmap plus challenges and suggestions.