Haolin He

ACL 2026ICLR 2026多模态强化学习与后训练评测与基准数据与预训练对齐与偏好

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一作贡献30

核心/参与5

方向广度13

合作网络6

1 一作 · 2 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

一作ICLR 2026Poster· Applications / Language, Speech and Dialog

Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models

Haolin He · Xingjian Du · Renhe Sun · Zheqi Dai · Yujia Xiao · Mingru Yang · Jiayi Zhou · Xiquan Li · Zhengxi Liu · Zining Liang · Chunyat Wu · Qianhua He · Tan Lee · Xie Chen · Wei-Long Zheng · Weiqiang Wang · Mark D. Plumbley · Jian Liu · Qiuqiang Kong

多模态强化学习与后训练评测与基准OpenReview

作者位次 #5/7ACL 2026Poster· Natural Language Processing

F ine LAP : Taming Heterogeneous Supervision for Fine-grained Language-Audio Pretraining

Xiquan Li · Xuenan Xu · Ziyang Ma · Wenxi Chen · Haolin He · Qiuqiang Kong · Xie Chen

摘要

Contrastively pretrained audio–language models (e.g., CLAP) excel at clip-level understanding but struggle with frame-level tasks.Existing extensions fail to exploit the varying granularity of real-world audio–text data, where massive clip-level textual descriptions coexist with limited frame-lev...

多模态数据与预训练对齐与偏好OpenReview 项目页

常见合作者

XLXiquan Li×2 XCXie Chen×2 QKQiuqiang Kong×2 XDXingjian Du RSRenhe Sun ZDZheqi Dai YXYujia Xiao MYMingru Yang JZJiayi Zhou ZLZhengxi Liu ZLZining Liang CWChunyat Wu