works on

From the 1 of 27 linked papers with an AI index.

activity
20242026
collaborators

27 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

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao, Yang Chen +50

The paper introduces Agents-A1, a 35B mixture-of-experts agent model that attains trillion-parameter-level performance by extending the length of reasoning horizons and integrating…

cs.CV2026

VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Haodong Duan, Xinyu Fang, Junming Yang +41

We present VLMEvalKit: an open-source toolkit for evaluating large multi-modality models based on PyTorch. The toolkit aims to provide a user-friendly and comprehensive framework f…

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.CV2026

ETCHR: Editing To Clarify and Harness Reasoning

Beichen Zhang, Yuhong Liu, Jinsong Li +3

Multimodal Large Language Models have advanced visual reasoning, yet a purely textual chain of thought remains a bottleneck for questions that require fine-grained focus or view tr…

cs.DC2026

NanoCP: Request-Level Dynamic Context Parallelism for Data-Expert Parallel Decoding

Jiefei Chen, Binbin Lin, Jinming Ma +9

Modern serving systems for Mixture-of-Experts (MoE) models adopt hybrid data-expert parallelism: expert parallelism (EP) shards experts across GPUs to scale capacity, while data pa…