collaborators

15 papers

physics.flu-dyn2026

DD-RNO: A Domain-Decomposed Routed Neural Operator for Airfoil Flow Prediction

T. A. Mehta, P. S. Bhati, H. D. Akolekar

Deep learning surrogates for RANS flow prediction around airfoils face two persistent bottlenecks. A single neural architecture cannot simultaneously resolve sharp near-wall bounda…

cs.AI2026

SciExplore: Evaluating Autonomous Agents from Scientific Navigation to Information Integration

Yinhao Tang, Youqing Fang, Yanan Sun +6

Scientific research involves complex information-seeking and reasoning workflows across heterogeneous sources. However, existing benchmarks primarily emphasize general-domain retri…

cs.CV2026

Scalable Visual Pretraining for Language Intelligence

Yiming Zhang, Zhonghan Zhao, Wenwei Zhang +14

The rapid progress of large foundation models has been driven predominantly by pretraining on large-scale text corpora. However, many forms of knowledge are conveyed through visual…

cs.AI2026

ThoughtFold: Folding Reasoning Chains via Introspective Preference Learning

Ziyan Liu, Xueda Shen, Yuzhe Gu +7

Large Reasoning Models (LRMs) have achieved remarkable progress thanks to Reinforcement Learning with Verifiable Rewards (RLVR) on Chain-of-Thoughts (CoTs). However, since long CoT…

cs.HC2026

MindCopilot: Towards Formalizing and Evaluating Granular Human-LLM Co-Writing

Youqing Fang, Yinhao Tang, Yanan Sun +8

Recent writing assistants are increasingly shifting from passive, prompt-driven interaction to proactive, suggestion-based completion, which integrates localized continuations into…

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…