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Matching papers

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation

11 upvotes · 17 JUL 2026 · Jiahao Zhao, Junyi Liu, Lifeng Xu et al.

This paper introduces S1-Omni, a unified AI model that can reason about scientific data, generate predictions, and create new scientific content, which could be useful for researchers and practitioners who need to analyze and understand complex scientific information.

multimodal reasoningscientific understandingAI for Science (AI4S)natural language modelsscientific knowledge graphs

SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement Learning

3 upvotes · 13 JUL 2026 · Mingyuan Wu, Jingcheng Yang, Shengyi Qian et al.

This paper introduces a new reinforcement learning framework called SVR-R1 that helps models improve their reasoning abilities by giving them the chance to correct their own mistakes. Practitioners might care about this because it could lead to better performance in tasks that require complex reasoning.

reinforcement learningmultimodal reasoningself-supervised learningvision-language modelsbootstrapping