paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
YZ

Yanzhe Zhang

ACL 2026×2推理评测与基准可解释性多模态安全
新星分贡献者
45
一作贡献0
核心/参与17
方向广度10
合作网络6
0 一作 · 2 篇 · ACL 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

2
作者位次 #6/12ACL 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 #2/6ACL 2026Findings· Findings of ACL

A udio P rivacy: Parallel Audio Dataset for Speaker Profiling with Diverse Audio Types and Rich Attributes

Jiabei He · Yanzhe Zhang · Jiaming Zhou · Hui Wang · Haoqin Sun · Yong Qin

摘要

Speech signals convey abundant speaker-related metadata, yet current privacy research predominantly focuses on identity-centric voiceprint protection, leaving sensitive Speaker Attribute Privacy (SAP) largely underexplored. This paper introduces AudioPrivacy, a large-scale Chinese dataset designe...

多模态推理安全OpenReview 项目页

常见合作者