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Wenhui Wang

5 papers hereh-index 2410.3k citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.SD2
same name
  • Wenhui Wang — 2 papers, h 2
  • Wenhui Wang — 1 paper, h 1
  • Wenhui Wang — 1 paper, h 1
  • Wenhui Wang — 1 paper, h 2
  • Wenhui Wang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators

5 papers

cs.SD2026

VibeVoice-ASR-BitNet Technical Report

Songchen Xu, Ting Song, Shaohan Huang +10

We present VibeVoice-ASR-BitNet, a compressed variant of VibeVoice-ASR optimized for real-time inference on edge CPUs. We apply heterogeneous quantization tailored to the computati…

cs.SD2026

VIBEVOICE-ASR Technical Report

Zhiliang Peng, Jianwei Yu, Yaoyao Chang +21

This report presents VibeVoice-ASR, a general-purpose speech understanding framework built upon VibeVoice, designed to address the persistent challenges of context fragmentation an…

cs.CL2025

VibeVoice Technical Report

Zhiliang Peng, Jianwei Yu, Wenhui Wang +10

This report presents VibeVoice, a novel model designed to synthesize long-form speech with multiple speakers by employing next-token diffusion, which is a unified method for modeli…

cs.CL2024

Multimodal Latent Language Modeling with Next-Token Diffusion

Yutao Sun, Hangbo Bao, Wenhui Wang +5

Multimodal generative models require a unified approach to handle both discrete data (e.g., text and code) and continuous data (e.g., image, audio, video). In this work, we propose…

cs.CL2024

RedStone: Curating General, Code, Math, and QA Data for Large Language Models

Yaoyao Chang, Lei Cui, Li Dong +13

Pre-training Large Language Models (LLMs) on high-quality, meticulously curated datasets is widely recognized as critical for enhancing their performance and generalization capabil…

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