activity
20192026
most citedGenerative adversarial networks in time series: A survey and taxonomy

46 citations · 128 across the 23 of their papers we have counts for

collaborators

27 papers

cs.CL2026

RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement

Wenyi Wu, Minghao Fu, Jieyu You +10

Recent advances in large language models have made automatic game generation increasingly feasible, yet reliably improving generated games beyond a playable version remains challen…

cs.AI2026

Pistis Technical Report

Heyun Chen, Xiaohan Lan, Jiaxi Li +17

We introduce the Pistis model family, comprising 27B- and 9B-parameter multimodal large language models built on Qwen3.6 and Qwen3.5, respectively, and developed through a general…

cs.CV2026

SteerVTE: Seamless Video Text Editing with Style and Glyph Control

Kai Zeng, Moran Li, Zhengwei Wang +6

Visual text editing aims to precisely modify text in images and videos while preserving stylistic consistency and visual realism. Despite significant advances in the image domain,…

cs.CV2026

EvoVid: Temporal-Centric Self-Evolution for Video Large Language Models

Shiqi Huang, Ziyue Wang, Zhongrong Zuo +3

Recent Video Large Language Models (Video-LLMs) have demonstrated strong capabilities in video reasoning through reinforcement learning (RL). However, existing RL pipelines rely he…

cs.CV2026

TextSculptor: Training and Benchmarking Scene Text Editing

Yiheng Lin, Siyu Jiao, Xiaohan Lan +12

Recent advances in Multimodal Large Language Models (MLLMs) and diffusion-based generative models have substantially improved prompt-driven image editing. However, scene text editi…

cs.CV2026

Let ViT Speak: Generative Language-Image Pre-training

Yan Fang, Mengcheng Lan, Zilong Huang +7

In this paper, we present \textbf{Gen}erative \textbf{L}anguage-\textbf{I}mage \textbf{P}re-training (GenLIP), a minimalist generative pretraining framework for Vision Transformers…