---
title: "Pengyu Wang — author profile and papers — Elamur Research"
description: "Pengyu Wang, University of Science and Technology of China: 4 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/pengyu-wang/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/pengyu-wang/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Pengyu Wang

# Pengyu Wang

Pengyu Wang has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Shimin Li](https://md.research.elamur.ai/free/en/authors/shimin-li/), [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/), [Benfeng Xu](https://md.research.elamur.ai/free/en/authors/benfeng-xu/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5139748012) · [**h-index 1**](https://openalex.org/authors/A5139748012) · [2 works](https://openalex.org/works?filter=author.id:A5139748012) · [1 citations](https://openalex.org/works?filter=author.id:A5139748012&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/pengyu-wang/#papers) · [🔗 Cited 169 times in our library](https://md.research.elamur.ai/free/en/authors/pengyu-wang/cited-by/) · [⭐ Paper Stars ranking: #4596](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4596)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Pengyu+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Pengyu+Wang) · [dblp](https://dblp.org/search?q=Pengyu+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Pengyu+Wang)

## Affiliations

[🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Tokenization & segmentation · 1 work](https://md.research.elamur.ai/free/en/topics/tokenization/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/pengyu-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/pengyu-wang/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/pengyu-wang/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/)** *(2023 · 347 citations)* Most systems that let large language models talk chain separate ASR and TTS modules around a text LLM. This design keeps the LLM's knowledge from reaching the speech modality, discards cues such as emotion and prosody, and lets errors pile up between stages. SpeechGPT addresses this by converting speech into discrete…
2. **[Case2Code: Scalable Synthetic Data for Code Generation](https://md.research.elamur.ai/free/en/papers/shao-2025-case2code-scalable-synthetic-data-code/)** *(2025 · 7 citations)* Code LLMs are often improved with synthetic instruction data, but this data usually comes from a strong teacher model.
3. **[LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model](https://md.research.elamur.ai/free/en/papers/shao-2026-lopt-lossless-parallel-tokenization-acceleration/)** *(2026 · 2 citations)* LoPT targets an often-ignored source of latency in long-context LLM inference: tokenization of very long inputs, which runs on the CPU.
4. **[WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora](https://md.research.elamur.ai/free/en/papers/wang-2026-wildgraphbench-benchmarking-graphrag-wild-source/)** *(2026 · 1 citation)* Most GraphRAG benchmarks use short, pre-cleaned passages. That makes it hard to judge how graph-based retrieval copes with long, messy, mixed-source document collections, the setting where it should help most. WildGraphBench fills this gap using Wikipedia. Articles from 12 top-level topics are sampled. The external…

## Co-authors here

12 of 22 co-authors with a page, the most papers together first.

- [Shimin Li](https://md.research.elamur.ai/free/en/authors/shimin-li/) ×2
- [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×2
- [Benfeng Xu](https://md.research.elamur.ai/free/en/authors/benfeng-xu/)
- [Chiwei Zhu](https://md.research.elamur.ai/free/en/authors/chiwei-zhu/)
- [Dong Zhang](https://md.research.elamur.ai/free/en/authors/dong-zhang/)
- [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/)
- [Jun Zhan](https://md.research.elamur.ai/free/en/authors/jun-zhan/)
- [Licheng Zhang](https://md.research.elamur.ai/free/en/authors/licheng-zhang/)
- [Linyang Li](https://md.research.elamur.ai/free/en/authors/linyang-li/)
- [Mingxuan Du](https://md.research.elamur.ai/free/en/authors/mingxuan-du/)
- [Peiji Li](https://md.research.elamur.ai/free/en/authors/peiji-li/)
- [Qinyuan Cheng](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)

## Cited by

Papers of our library cite their works 169 times (of the 149,439 papers whose bibliographies we read); [43 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/pengyu-wang/cited-by/).

Updated 1 November 2026
