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Shikun Feng

ACL 2026×2多模态效率与系统可解释性强化学习与后训练评测与基准
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #7/12ACL 2026Findings· Findings of ACL

M o E Adapter for Large Audio Language Models: Sparsity, Disentanglement, and Gradient-Conflict-Free

Yishu Lei · Shuwei He · Hu Jing · Dan Zhang · Xianlong Luo · Danxiang Zhu · Shikun Feng · Rui Liu · Jingzhou HE · YU SUN · hua wu · Haifeng Wang

摘要

Extending the input modality of Large Language Models (LLMs) to the audio domain is essential for achieving comprehensive multimodal perception. However, it is well-known that acoustic information is intrinsically heterogeneous, entangling attributes such as speech, music, and environmental conte...

多模态效率与系统可解释性OpenReview 项目页
作者位次 #7/12ACL 2026Findings· Findings of ACL

CORD : Bridging the Audio–Text Reasoning Gap via Weighted On-policy Cross-modal Distillation

Hu Jing · Danxiang Zhu · Xianlong Luo · Dan Zhang · Shuwei He · Yishu Lei · Shikun Feng · Hai-Tao Zheng · Jingzhou HE · YU SUN · hua wu · Haifeng Wang

摘要

Large Audio Language Models (LALMs) have garnered significant research interest. Despite being built upon text-based large language models (LLMs), LALMs frequently exhibit a degradation in knowledge and reasoning capabilities. We hypothesize that this limitation stems from the failure of current...

强化学习与后训练评测与基准检索与知识OpenReview 项目页

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