most citedERNIE 5.0 Technical Report

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling

Ximing Xing, Ziteng Xue, Zhenxi Li +8

Recent large language models have shifted SVG generation from differentiable rendering optimization to autoregressive program synthesis. However, existing approaches still rely on…

cs.CL20262 cited

ERNIE 5.0 Technical Report

Haifeng Wang, Hua Wu, Tian Wu +432

In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…

cs.CV2025

JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization

Yunlong Lin, Linqing Wang, Kunjie Lin +11

Agent-based editing models have substantially advanced interactive experiences, processing quality, and creative flexibility. However, two critical challenges persist: (1) instruct…

cs.CL2025

EFPC: Towards Efficient and Flexible Prompt Compression

Yun-Hao Cao, Yangsong Wang, Shuzheng Hao +4

The emergence of large language models (LLMs) like GPT-4 has revolutionized natural language processing (NLP), enabling diverse, complex tasks. However, extensive token counts lead…

cs.CV2025

PVChat: Personalized Video Chat with One-Shot Learning

Yufei Shi, Weilong Yan, Gang Xu +6

Video large language models (ViLLMs) excel in general video understanding, e.g., recognizing activities like talking and eating, but struggle with identity-aware comprehension, suc…