collaborators

21 papers

cs.CL2026

AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification

Haobo Li, Eunseo Jung, Wenxiao Zhao +8

The paper presents AutoSupervision, a system that automatically verifies whether manuscript revisions truly address reviewer comments by grounding the verification in evidence from…

cs.AI2026

SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification

Xiangyu Zhao, Henry Hengyuan Zhao, Yiheng Wang +7

While Process Reward Models (PRMs) have achieved remarkable success in mathematical reasoning, their application in complex scientific domains-such as biology, chemistry, and physi…

cs.AI2026

MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs

Xiangyu Zhao, Wanghan Xu, Bo Liu +7

The rapid advancement of multimodal large language models (MLLMs) offers new opportunities for complex scientific challenges, yet their application in earth science-especially at t…

cs.CV2026

FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution

Yidi Liu, Zihao Fan, Jie Huang +6

Reinforcement Learning with Human Feedback (RLHF) has proven effective in image generation field guided by reward models to align human preferences. Motivated by this, adapting RLH…

cs.LG2026

Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Yicheng Zou, Dongsheng Zhu, Lin Zhu +174

We introduce Intern-S1-Pro, the first one-trillion-parameter scientific multimodal foundation model. Scaling to this unprecedented size, the model delivers a comprehensive enhancem…

cs.CV2026

Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation

Zhiwang Zhou, Yuandong Pu, Xuming He +10

Weather modeling requires both accurate prediction and mechanistic interpretation, yet existing methods treat these goals in isolation, separating generation from understanding. To…