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Xiaogui Yang

ACL 2026×2ICML 2026多模态数据与预训练对齐与偏好可解释性强化学习与后训练
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合作网络9
0 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
作者位次 #6/11ACL 2026Poster· Natural Language Processing

XY -Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs

Yitian Gong · Luozhijie Jin · Kuangwei Chen · Dong Zhang · Ruifan Deng · Xiaogui Yang · Xin Zhang · Zhaoye Fei · Qinyuan Cheng · Shimin Li · Xipeng Qiu

摘要

Speech codecs provide an important interface between continuous speech signals and large language models. An ideal codec for speech language models should not only preserve acoustic information but also capture rich semantic information. However, existing codecs struggle to balance these objectiv...

对齐与偏好可解释性多模态OpenReview 项目页
作者位次 #6/11ACL 2026Findings· Findings of ACL

Rethinking Multiple-Choice Questions for RLVR : Unlocking Potential via Distractor Design

Xu Guo · Qiming Ge · Jian Tong · Kedi Chen · Jin Zhang · Xiaogui Yang · Xuan Gao · Haijun Lv · Zhihui Lu · Yicheng Zou · Qipeng Guo

摘要

Reinforcement Learning with Verifiable Rewards (RLVR) significantly enhances the reasoning capabilities of Large Language Models. When applied to RLVR, Multiple-Choice Questions (MCQs) offer a scalable source of verifiable data but risk inducing reward hacking, where models shortcut reasoning via...

强化学习与后训练推理评测与基准OpenReview 项目页

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