most citedLLM-based Human Simulations Have Not Yet Been Reliable

5 citations · 7 across the 37 of their papers we have counts for

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cs.CV2026

DramaAgent: Agentic Storytelling Video Generation

Ting Huang, Biao Wu, Ronghao Chen +5

Recent diffusion and autoregressive models have substantially improved text-to-video generation, yet producing coherent long-form story videos with consistent characters and aligne…

cs.CV2026

VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation

Bo Li, Ronghao Chen, Ningyuan Deng +3

Translating text embedded in Web images is crucial for improving content accessibility and cross-lingual information retrieval, particularly within social media and e-commerce doma…

cs.CV2026

FlashSign: Pose-Free Guidance for Efficient Sign Language Video Generation

Liuzhou Zhang, Zeyu Zhang, Biao Wu +10

Sign language plays a crucial role in bridging communication gaps between the deaf and hard-of-hearing communities. However, existing sign language video generation models often re…

cs.CV2026

Where and How to Prune: An Empirical Study of Visual Token Pruning for GUI Agent Navigation

Daiqiang Li, Zihao Pan, Zeyu Zhang +8

In recent years, GUI agents have demonstrated strong potential in navigation tasks. However, preserving complete historical screenshots introduces substantial computational overhea…

cs.CV2026

Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning

Chengwen Liu, Xiaomin Yu, Zhuoyue Chang +15

In real-world video question answering scenarios, videos often provide only localized visual cues, while verifiable answers are distributed across the open web; models therefore ne…

cs.CV2025

JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation

Siheng Wan, Zhengtao Yao, Zhengdao Li +9

Modern Text-to-Image (T2I) generation increasingly relies on token-centric architectures that are trained with self-supervision, yet effectively fusing text with visual tokens rema…