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Drug Recommendation via Graph Contrastive Learning and Path Reasoning for Medical Dialogues

This paper proposes a dialogue-based drug recommendation method that combines contrastive learning with multi-hop reasoning on knowledge graphs to enhance the effectiveness of recommendations and introduces a graph contrastive learning approach based on singular value decomposition.
IEEE (opens in a new tab)

AdaptMMBench: Benchmarking Adaptive Multimodal Reasoning for Mode Selection and Reasoning Process

This paper proposes AdaptMMBench, a comprehensive benchmark for adaptive multimodal reasoning across five domains: real-world, OCR, GUI, knowledge, and math, encompassing both direct perception and complex reasoning tasks, and facilitates multi-dimensional process evaluation across key step coverage, tool effectiveness, and computational efficiency.
arXiv (opens in a new tab)

Generative AI Empowering College English Classroom: Research on Application Effect and Acceptance

Findings reveal that students demonstrate basic AI literacy and primarily apply generative tools for writing and speaking enhancement, with usage frequency positively correlated with perceived learning outcomes.
ACM (opens in a new tab)
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