output
20122026
most citedSimple and Deep Graph Convolutional Networks

402 citations

Showing 2025Show all

12 papers · 1 filter

cs.CV2025★ 4 cited

Mitigating Error Accumulation in Co-Speech Motion Generation via Global Rotation Diffusion and Multi-Level Constraints

Xiangyue Zhang, Jianfang Li, Jianqiang Ren +1

Reliable long-horizon co-speech gesture generation requires precise motion representation and consistent structural priors across all joints. Existing generative methods typically…

quant-ph2025

Reconfigurable Quantum Instruction Set Computers for High Performance Attainable on Hardware

Zhaohui Yang, Dawei Ding, Qi Ye +3

The performance of current quantum hardware is severely limited. While expanding the quantum ISA with high-fidelity, expressive basis gates is a key path forward, it imposes signif…

cs.LG2025

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework

Jiaqi Weng, Han Zheng, Hanyu Zhang +6

Sparse autoencoders (SAEs) enable interpretability research by decomposing entangled model activations into monosemantic features. However, under what circumstances SAEs derive mos…

cs.SD2025★ 1 cited

Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference Optimization

Chaoqun Cui, Liangbin Huang, Shijing Wang +4

Video dubbing aims to translate original speech in visual media programs from the source language to the target language, relying on neural machine translation and text-to-speech t…

cs.IR2025★ 1 cited

TaoSR1: The Thinking Model for E-commerce Relevance Search

Chenhe Dong, Shaowei Yao, Pengkun Jiao +7

Query-product relevance prediction is a core task in e-commerce search. BERT-based models excel at semantic matching but lack complex reasoning capabilities. While Large Language M…

cs.CL2025★ 9 cited

ESGenius: Benchmarking LLMs on Environmental, Social, and Governance (ESG) and Sustainability Knowledge

Chaoyue He, Xin Zhou, Yi Wu +9

We introduce ESGenius, a comprehensive benchmark for evaluating and enhancing the proficiency of Large Language Models (LLMs) in Environmental, Social, and Governance (ESG) and sus…