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From the 1 of 8 linked papers with an AI index.

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8 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.CL2026

AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification

Lingkai Kong, Zijian Wu, Yuzhe Gu +10

The paper introduces AdvancedMathBench, a benchmark suite for evaluating large language models on generating and verifying advanced mathematical proofs, and provides an automatic v…

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.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.AI2026

Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning

Haiteng Zhao, Junhao Shen, Yiming Zhang +7

Large language model (LLM) agents exhibit strong mathematical problem-solving abilities and can even solve International Mathematical Olympiad (IMO) level problems with the assista…

cs.CL2025

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving

Songyang Gao, Yuzhe Gu, Zijian Wu +18

Large Reasoning Models (LRMs) have expanded the mathematical reasoning frontier through Chain-of-Thought (CoT) techniques and Reinforcement Learning with Verifiable Rewards (RLVR),…