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Hanchao Yu

ICLR 2026×2ACL 2026SIGIR 2026多模态强化学习与后训练智能体与工具可解释性评测与基准
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0 一作 · 4 篇 · ICLR 2026 / ACL 2026 / SIGIR 2026

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2026 顶会论文

4
作者位次 #7/16ACL 2026Poster· ACL Industry Track

Detecting AI -Generated Content on Social Media with Multi-modal Language Models

Chenyang Yang · Shen Yan · Yibo Yang · Litao Hu · Yuchen Liu · Yuan Zeng · Hanchao Yu · Yinan Zhu · Sumedha Singla · Brian Vanover · Huijun Qian · Zihao Wang · Fujun Liu · Aashu Singh · Jianyu Wang · Xuewen Zhang

摘要

Generative AI has enabled the creation of photorealistic images and videos that are increasingly disseminated on social media, often used for spam, misinformation, manipulation, and fraud. Existing AI-generated content (AIGC) detection methods face challenges including poor generalization to new...

多模态可解释性评测与基准OpenReview 项目页
作者位次 #3/11SIGIR 2026Oral· Information Retrieval (Full)

Verifiable Reasoning for LLM-based Generative Recommendation

Xinyu Lin · Hanqing Zeng · Hanchao Yu · Yinglong Xia · Jiang Zhang · Aashu Singh · Fei Liu · Wenjie Wang · Fuli Feng · Tat-Seng Chua · Qifan Wang

摘要

Reasoning in Large Language Models (LLMs) has recently shown strong potential in enhancing generative recommendation through deep understanding of complex user preference. Existing approaches follow a reason-then-recommend paradigm, where LLMs perform step-by-step reasoning before item generation...

推理对齐与偏好效率与系统OpenReview

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