collaborators

5 papers

cs.CV2025

LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation

Haichao Zhang, Yao Lu, Lichen Wang +4

Video Large Language Models (VLLMs) unlock world-knowledge-aware video understanding through pretraining on internet-scale data and have already shown promise on tasks such as movi…

cs.LG2025

Selective Conformal Risk Control

Yunpeng Xu, Wenge Guo, Zhi Wei

Reliable uncertainty quantification is essential for deploying machine learning systems in high-stakes domains. Conformal prediction provides distribution-free coverage guarantees…

cs.CV2025

Enhancing Video Large Language Models with Structured Multi-Video Collaborative Reasoning

Zhihao He, Tianyao He, Yun Xu +5

Despite the prosperity of the video language model, the current pursuit of comprehensive video reasoning is thwarted by the inherent spatio-temporal incompleteness within individua…

cs.CL2025

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models

Zhouhao Sun, Xiao Ding, Li Du +5

Despite significant progress, recent studies indicate that current large language models (LLMs) may still capture dataset biases and utilize them during inference, leading to the p…

cs.IR2024

Two-stage Risk Control with Application to Ranked Retrieval

Yunpeng Xu, Mufang Ying, Wenge Guo +1

Practical machine learning systems often operate in multiple sequential stages, as seen in ranking and recommendation systems, which typically include a retrieval phase followed by…