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Haoyu Gu

ACL 2026×2ICML 2026可解释性数据与预训练对齐与偏好多模态效率与系统
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0 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
作者位次 #2/4ICML 2026Poster· Applications / Time Series

BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps

Lekai Qian · Haoyu Gu · Jingwei Zhao · Ziyu Wang

数据与预训练OpenReview
作者位次 #3/8ACL 2026Findings· Findings of ACL

E mo MM : Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness

Yueru Sun · Yimeng Zhang · Haoyu Gu · Nuo Chen · Dong She · Xianrong Yao · Yang Gao · Zhanpeng Jin

摘要

Multimodal Emotion Recognition (MER) is critical for interpreting real-world interactions. While Multimodal Large Language Models (MLLM) have shown promise in MER, their internal decision-making mechanisms under modality conflict and missingness remain largely underexplored. In this paper, to sys...

可解释性对齐与偏好多模态OpenReview 项目页
作者位次 #4/6ACL 2026Findings· Findings of ACL

Anchored Cyclic Generation: A Novel Paradigm for Long-Sequence Symbolic Music Generation

Boyu Cao · Lekai Qian · Dehan Li · Haoyu Gu · Mingda Xu · Qi Liu

摘要

Generating long sequences with structural coherence remains a fundamental challenge for autoregressive models across sequential generation tasks. In symbolic music generation, this challenge is particularly pronounced, as existing methods are constrained by the severe error accumulation inherent...

可解释性效率与系统评测与基准OpenReview 项目页

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