works on

From the 4 of 39 papers with an AI index.

most citedMeasurement of the ratio of the B$_\mathrm{c}^+$ $\to$ J/$ψ$$τ^+ν_τ$ and B$_\mathrm{c}^+$ $\to$ J/$ψ$ $μ^+ν_μ$ branching fractions using three-prong $τ$ lepton decays

2 citations

7 papers

cond-mat.mtrl-sci2026

Room-temperature ferroelectrically switchable quantum geometry in few-layer WTe2 for complementary in-memory computing

Ruihan Wang, Pengfei Wang, Haoyun Chen +10

Quantum geometry, describing the inherent geometric structure of electron wavefunctions in momentum space, transcends the traditional charge degree of freedom and provides a novel…

cs.DC2026

Collective Communication for Distributed LLM Systems: Planning, Runtime Adaptation, and Computation Coordination

Xuebin Song, Menghao Zhang, Yuezheng Liu +5

Distributed large language model (LLM) systems increasingly rely on collective communication primitives such as AllReduce (AR), ReduceScatter (RS), AllGather (AG), and AlltoAll (A2…

cs.AI2026

FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows

Bo Deng, Kang Zhou, Lifan Guo +6

Most agent benchmarks evaluate tasks independently and cannot measure whether experience from one task helps with later tasks. Existing self-evolution benchmarks do not jointly cov…

cs.SE2026

ExeCRE: Execution-Consistency Guided Reliability Estimation for Self-Correcting Code Generation

Yiru Dong, Richong Zhang, Fanshuang Kong +1

Large language models (LLMs) have made notable progress in code generation, but they still struggle on challenging tasks that require sophisticated algorithms or complex implementa…

cs.CV2026

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference

Shanghao Liu, Renze Chen, Size Zheng +4

Video diffusion transformers (vDiTs) generate high quality but pay quadratic self-attention cost, making inference prohibitive at video-token scales. The challenge is input-adaptiv…

cs.RO2026

SAM3D-Guided Object-Centric Representation Alignment for Vision-Language-Action Models

Zonghe Liu, Shanyuan Jie, Xiaoquan Sun +4

Vision-Language-Action (VLA) models have shown strong potential for general robot manipulation, but most existing models rely on 2D visual-language backbones and lack fine-grained…