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Dong Zhang

ACL 2026×3ICML 2026可解释性对齐与偏好多模态评测与基准数据与预训练
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0 一作 · 4 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

4
作者位次 #4/11ACL 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

WESR : A Benchmark and Strong Baseline for Word-level Event-Speech Recognition

Chenchen Yang · Kexin Huang · Liwei Fan · Qian Tu · Botian Jiang · Dong Zhang · Linqi Yin · Shimin Li · Zhaoye Fei · Qinyuan Cheng · Xipeng Qiu

摘要

Speech conveys not only linguistic information but also rich non-verbal vocal events such as laughing and crying. While semantic transcription is well-studied, the precise localization of non-verbal events remains a critical yet under-explored challenge. Current methods suffer from insufficient t...

评测与基准多模态数据与预训练OpenReview 项目页
作者位次 #9/14ACL 2026Findings· Findings of ACL

Z ip V oice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching

Han Zhu · Wei Kang · Liyong Guo · Zengwei Yao · Fangjun Kuang · Weiji Zhuang · Zhaoqing Li · Zhifeng Han · Dong Zhang · Xin Zhang · Xingchen Song · Lingxuan Ye · Long Lin · Daniel Povey

摘要

Generating spoken dialogue is inherently more complex than monologue text-to-speech (TTS), as it demands both realistic turn-taking and the maintenance of distinct speaker timbres. While existing autoregressive (AR) models have made progress, they often suffer from high inference latency and stab...

效率与系统评测与基准对齐与偏好OpenReview 项目页

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