Jingling Xue — accepted AI-conference papers

2026

Failures to Surface Harmful Contents in Video Large Language Models

Yuxin Cao, Wei Song, Derui Wang, Jingling Xue, Jin Song Dong

AAAI 2026technical

Video Large Language Models (VideoLLMs) are increasingly deployed on numerous critical applications, where users rely on auto-generated summaries while casually skimming the video stream. We show that this interaction hides a critical safety gap: if harmful content is embedded in a video, either as

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2026

LEGO: An LLM-Enabled Hierarchical Optimizer for Tensor Computation Graphs with Structure-Aware Search and Compositional Synthesis

Ruiyuan Xu, shuoming zhang, Guangli Li, Qiuchu Yu, Rui Zhang, Yangyu Zhang +7

ICML 2026poster

Automating end-to-end GPU kernel generation with Large Language Models (LLMs) faces a critical tension between global performance and exploration efficiency. We present LEGO, a hierarchical framework that resolves this trade-off via a parallel multi-agent search over a recursive AND-OR FusionTree. L…

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