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Yizhuo Zhang

ACL 2026×2推理多模态可解释性强化学习与后训练对齐与偏好
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一作贡献30
核心/参与12
方向广度10
合作网络6
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/9ACL 2026Poster· ACL Industry Track

UNIVID : Unified Vision-Language Model for Video Moderation

Kejuan Yang · Yizhuo Zhang · Mingyuan Du · Yue Zhang · Dixin Zheng · Kaili Zhao · Yang Xiao · Hanzhong Liang · Kenan Xiao

摘要

Global-scale video moderation faces a dual challenge: the need for fine-grained multimodal reasoning and the demand for interpretable outputs to support downstream enforcement. Traditional moderation systems often rely on fragmented black-box classifiers that are difficult to maintain and lack tr...

多模态可解释性推理OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment

Yizhuo Zhang · Heng Wang · Shangbin Feng · Zhaoxuan Tan · Xinyun Liu · Yulia Tsvetkov

摘要

Previous research has sought to enhance the graph reasoning capabilities of LLMs by supervised fine-tuning on synthetic graph data. While these led to specialized LLMs better at solving graph algorithm problems, we don’t need LLMs for shortest path: we need generalization from synthetic graph dat...

强化学习与后训练推理对齐与偏好OpenReview 项目页

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