collaborators

10 papers

cs.AI2026

UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement

Fang Wu, Da Xing, Yanjie Huang +16

Modern multimodal models bring generation and understanding into a single unified system, which enables them to provide and learn from their own feedback. Motivated by this unified…

cs.AI2026

MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging

Junxi Wang, Te Sun, Jiayi Zhu +9

Agent memory systems have demonstrated significant potential in long-term dialogue, personalized assistants, and video understanding. However, continuously accumulated memory intro…

cs.CL2026

Look Ahead Before You Distill: Future Trajectory Validation of Teacher Guidance for Agentic On-Policy Distillation

Chishui Chen, Yaoyou Fan, Te Sun +11

On-policy distillation (OPD) provides teacher supervision on states visited by the student, reducing the distribution gap between training and inference. However, in multi-turn age…

cs.AI2026

Multimodal Knowledge Edit-Scoped Generalization for Online Recursive MLLM Editing

Siyuan Li, Youyuan Zhang, Ruitong Liu +2

Online multimodal knowledge editing requires injecting a continual stream of visual-textual corrections into multimodal large language models (MLLMs) with bounded overhead and mini…

cs.CL2026

Large Language Models Do Not Always Need Readable Language

Jiayi Zhu, Haoxuan Peng, Junxi Wang +3

Large language models (LLMs) are commonly prompted and interfaced with human-readable natural language, even when the intended reader is another model. This paper investigates whet…

cs.CL2026

Skill or Skip? Learning Selective Skill Invocation in Agentic Tasks via Dual-Granularity Preference Learning

Chishui Chen, Jiaye Lin, Te Sun +6

Agent skills are callable procedural modules that provide reusable knowledge and execution policies for complex agentic tasks. However, existing methods mainly focus on selecting r…

cs.CV2026

EvoStreaming: Your Offline Video Model Is a Natively Streaming Assistant

Zichen Wen, Boxue Yang, Junlong Ke +5

Streaming video understanding demands more than watching longer videos: assistants must decide when to speak in real time, balancing responsiveness against verbosity. Yet most vide…

cs.CV2026

StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding

Junxi Wang, Te Sun, Jiayi Zhu +6

Vision agent memory has shown remarkable effectiveness in streaming video understanding. However, storing such memory for videos incurs substantial memory overhead, leading to high…

cs.MM2025

FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter

Junxi Wang, Yaxiong Wang, Lechao Cheng +1

We present FakeSV-VLM in this paper, a new VLM-based framework for detecting fake news on short video platforms. Despite significant efforts to combat this issue due to the severe…

cs.CV2025

Consistency-aware Fake Videos Detection on Short Video Platforms

Junxi Wang, Jize liu, Na Zhang +1

This paper focuses to detect the fake news on the short video platforms. While significant research efforts have been devoted to this task with notable progress in recent years, cu…