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Jinyu Li

ACL 2026×2ICLR 2026×2推理多模态评测与基准强化学习与后训练可解释性
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0 一作 · 4 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #8/12ACL 2026Poster· Natural Language Processing

S peech LLM -as-Judges: Towards General and Interpretable Speech Quality Evaluation

Hui Wang · Jinghua Zhao · Yifan Yang · Shujie LIU · Junyang Chen · Yanzhe Zhang · Shiwan Zhao · Jinyu Li · Jiaming Zhou · Haoqin Sun · Yan Lu · Yong Qin

摘要

Generative speech technologies are progressing rapidly, but evaluating the perceptual quality of synthetic speech remains a core challenge. Existing methods typically rely on scalar scores or binary decisions, which lack interpretability and generalization across tasks and languages. We present S...

推理评测与基准可解释性OpenReview 项目页
作者位次 #6/7ACL 2026Poster· Natural Language Processing

Closing the Modality Reasoning Gap for Speech Large Language Models

Chaoren Wang · Heng Lu · Xueyao Zhang · Shujie LIU · Yan Lu · Jinyu Li · Zhizheng Wu

摘要

Although Speech Large Language Models have achieved notable progress, a substantial modality reasoning gap remains: their reasoning performance on speech inputs is markedly weaker than on text. This gap could be associated with representational drift across Transformer layers and behavior deviati...

评测与基准推理对齐与偏好OpenReview 项目页

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