---
title: "Chenguang Wang — author profile and papers in our library"
description: "Chenguang Wang, Inner Mongolia Agricultural University: 2 papers on Elamur Research (2024–2026), h-index 22 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/chenguang-wang/"
---
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# Chenguang Wang

Chenguang Wang has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Kyle Montgomery](https://md.research.elamur.ai/free/en/authors/kyle-montgomery/), [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/), [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5100329692) · [ORCID](https://orcid.org/0000-0002-7896-2360) · [**h-index 22**](https://openalex.org/authors/A5100329692) · [85 works](https://openalex.org/works?filter=author.id:A5100329692) · [1,944 citations](https://openalex.org/works?filter=author.id:A5100329692&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chenguang-wang/#papers) · [🔗 Cited 218 times in our library](https://md.research.elamur.ai/free/en/authors/chenguang-wang/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7905](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7905)

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=Chenguang+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chenguang+Wang) · [dblp](https://dblp.org/search?q=Chenguang+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Chenguang+Wang)

## Affiliations

[🎓**Washington University in St. Louis** St Louis · United States 2022–2025 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/washington-university-in-st-louis/) · [🎓**University of California, Berkeley** Berkeley · United States 2019–2025 · 7 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**Nanjing University** Nanjing · China 2023–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**University of California, Santa Cruz** Santa Cruz · United States 2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-santa-cruz/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🎓**Inner Mongolia Agricultural University** Hohhot · China 2025 · 1 paper*current*](https://ror.org/015d0jq83) · [🎓**Northwest A&F University** Yangling · China 2025 · 1 paper*current*](https://ror.org/0051rme32) · [🎓**Shenzhen Research Institute of Big Data** Shenzhen · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-research-institute-of-big-data/) · [🔬**IBM Research - Almaden** San Jose · United States 2017 · 6 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-almaden/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 26 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/chenguang-wang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/chenguang-wang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[JudgeBench: A Benchmark for Evaluating LLM-based Judges](https://md.research.elamur.ai/free/en/papers/tan-2024-judgebench-benchmark-evaluating-llm-based/)** *(2024 · 101 citations)* LLM-based judges are now widely used to rank models, act as reward models, and pick the best candidate answers, yet their own reliability is seldom tested.
2. **[Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale](https://md.research.elamur.ai/free/en/papers/tu-2026-fico-evaluating-vision-language-models/)** *(2026)* Visual text compression renders long text as images so a vision-language model can read it with fewer context tokens than the raw text would need.

## All works

18 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Co-Occurrent Features in Semantic Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00064) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hang Zhang et al.*2019 · 297 citations*
2. **[Language Models are Open Knowledge Graphs ↗](https://arxiv.org/abs/2010.11967) arXiv (Cornell University) · no summary yet**Chenguang Wang, Xiao Liu, Dawn Xiaodong Song*2020 · 126 citations*
3. [**JudgeBench: A Benchmark for Evaluating LLM-based Judges arXiv:2410.12784**Sijun Tan, Siyuan Zhuang, Kyle Montgomery, et al.*2024 · 101 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-judgebench-benchmark-evaluating-llm-based/)
4. **[DeepStruct: Pretraining of Language Models for Structure Prediction ↗](https://aclanthology.org/2022.findings-acl.67/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Chenguang Wang et al.*2022 · 83 citations*
5. **[Zero-Shot Information Extraction as a Unified Text-to-Triple Translation ↗](https://aclanthology.org/2021.emnlp-main.94/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chenguang Wang et al.*2021 · 59 citations*
6. **[Joint Language Semantic and Structure Embedding for Knowledge Graph Completion ↗](https://aclanthology.org/2022.coling-1.171/) Proceedings of the 29th International Conference on Computational Linguistics · no summary yet**Jianhao Shen et al.*2022 · 29 citations*
7. **[Benchmarking Language Models for Code Syntax Understanding ↗](https://aclanthology.org/2022.findings-emnlp.224/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Da Shen et al.*2022 · 14 citations*
8. **[Agent Instructs Large Language Models to be General Zero-Shot Reasoners ↗](https://arxiv.org/abs/2310.03710) arXiv:2310.03710 · no summary yet**Nicholas Crispino et al.*2023 · 13 citations*
9. **[AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents ↗](https://aclanthology.org/2025.findings-emnlp.1258/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Zhun Wang et al.*2025 · 9 citations*
10. **[IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models ↗](https://aclanthology.org/2022.emnlp-main.576/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chenguang Wang, Xiao Liu, Dawn Song*2022 · 9 citations*
11. **[AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents ↗](https://arxiv.org/abs/2505.05849) arXiv (Cornell University) · no summary yet**Wang, Zhun et al.*2025 · 5 citations*
12. **[PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion ↗](https://aclanthology.org/2022.findings-emnlp.281/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Jianhao Shen et al.*2022 · 4 citations*
13. **[MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models ↗](https://aclanthology.org/2025.knowllm-1.6/) Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM) · no summary yet**Jianhong Tu et al.*2025 · 2 citations*
14. **[COSMIC: Generalized Refusal Direction Identification in LLM Activations ↗](https://aclanthology.org/2025.findings-acl.1310/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Vincent Siu et al.*2025 · 1 citation*
15. **[Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale](https://md.research.elamur.ai/free/en/papers/tu-2026-fico-evaluating-vision-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianhong Tu, Nicholas Crispino, Kyle Montgomery, et al.*2026*
16. **[VMDT: Decoding the Trustworthiness of Video Foundation Models ↗](https://doi.org/10.52202/085713-5368) neural information processing systems · no summary yet**Yujin Potter et al.*2025*
17. **[RepIt: Steering Language Models with Concept-Specific Refusal Vectors ↗](https://arxiv.org/abs/2509.13281) arXiv:2509.13281 · no summary yet**Vincent Siu et al.*2025*
18. **[Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning ↗](https://aclanthology.org/2024.acl-long.561/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Eric Pasewark et al.*2024*

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Kyle Montgomery](https://md.research.elamur.ai/free/en/authors/kyle-montgomery/) ×2
- [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/)
- [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/)
- [Jianhong Tu](https://md.research.elamur.ai/free/en/authors/jianhong-tu/)
- [Siyuan Zhuang](https://md.research.elamur.ai/free/en/authors/siyuan-zhuang/)

## 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: EMNLP 2022 ×3
- Findings of the Association for Computational Linguistics: ACL 2025 ×2
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ×2
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Proceedings of the 29th International Conference on Computational Linguistics
- Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM)
- Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- neural information processing systems

## Cited by

Papers of our library cite their works 218 times (of the 149,439 papers whose bibliographies we read); [50 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chenguang-wang/cited-by/).

Updated 2 November 2026