works on

From the 1 of 12 linked papers with an AI index.

activity
20242026
collaborators

12 papers

cs.CL2026

ZenGen: Social Mind for LLMs

ZenGen Team, Zing Team, Ao Xiang +57

As large language models move from isolated task solving toward long-term service in human environments, they require social intelligence: the ability to infer mental states, track…

cs.CV2026

Technical Report on the CVPR 2026@AdvML Workshop Challenge

Tianyuan Zhang, Zonglei Jing, Jiangfan Liu +47

The paper reports on the CVPR 2026@AdvML Workshop Challenge, which evaluated adversarial attacks on multimodal vision‑language agents for autonomous driving using multi‑view visual…

cs.CV2026

Training-Free Composed Video Retrieval via Visual Representation-Guided Video-LLM Reasoning

Yang Liu, Qianqian Xu, Peisong Wen +2

Recent advances in large vision-language models have expanded video retrieval from simple text-based search to more flexible scenarios, where users may specify the desired result t…

cs.CV2026

Understanding-Enhanced Model Collaboration for Long-Tailed Egocentric Mistake Detection

Boyu Han, Qianqian Xu, Shilong Bao +3

In this report, we address the problem of determining whether a user performs an action incorrectly from egocentric video data. To this end, we propose an Understanding-Enhanced Mo…

cs.LG2026

Theoretical Analysis of Sparse Optimization with Reparameterization, Weight Decay, and Adaptive Learning Rate

Huangyu Xu, Jingqin Yang, Qianqian Xu +1

Sparse optimization is a fundamental challenge in various practical applications. A popular approach to sparse optimization is regularization. However, it may encounter op…

cs.LG2026

The Bridge-Garden Dilemma in LLM Distillation: Why Mixing Hard and Soft Labels Works

Guanghui Wang, Kaiwen Lv Kacuila, Zhiyong Yang +5

Knowledge distillation (KD) transfers knowledge from a large teacher model to a smaller student. In language modeling, the student is trained either on tokens sampled from the teac…