collaborators

10 papers

cs.AI2026

How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study

Zhen Yang, Ping Jian, Zhongbin Guo +5

Over the past year, spatial intelligence has drawn increasing attention. Many prior works study it from the perspective of visual-spatial intelligence, where models have access to…

cs.MM2026

Look, Listen and Segment: Towards Weakly Supervised Audio-visual Semantic Segmentation

Chengzhi Li, Heyan Huang, Ping Jian +1

Audio-Visual Semantic Segmentation (AVSS) aligns audio and video at the pixel level but requires costly per-frame annotations. We introduce Weakly Supervised Audio-Visual Semantic…

cs.CV2026

Understanding Temporal Logic Consistency in Video-Language Models through Cross-Modal Attention Discriminability

Chengzhi Li, Heyan Huang, Ping Jian +3

Large language models (LLMs) often generate self-contradictory outputs, which severely impacts their reliability and hinders their adoption in practical applications. In video-lang…

cs.AI2026

The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs

Yonghong Deng, Zhen Yang, Ping Jian +3

With the rapid advancement of large language models (LLMs), the safety of LLMs has become a critical concern. Despite significant efforts in safety alignment, current LLMs remain v…

cs.LG2026

Patch the Distribution Mismatch: RL Rewriting Agent for Stable Off-Policy SFT

Jiacheng Wang, Ping Jian, Zhen Yang +3

Large language models (LLMs) have made rapid progress, yet adapting them to downstream scenarios still commonly relies on supervised fine-tuning (SFT). When downstream data exhibit…

cs.CV2026

TAMMs: Change Understanding and Forecasting in Satellite Image Time Series with Temporal-Aware Multimodal Models

Zhongbin Guo, Yuhao Wang, Ping Jian +4

Temporal Change Description (TCD) and Future Satellite Image Forecasting (FSIF) are critical, yet historically disjointed tasks in Satellite Image Time Series (SITS) analysis. Both…