🧑‍🔬 Chenguang Wang

🏛️ Affiliations

🎓Washington University in St. LouisSt Louis · United States2022–2025 · 14 paperscurrent🎓University of California, BerkeleyBerkeley · United States2019–2025 · 7 paperscurrent🎓Nanjing UniversityNanjing · China2023–2025 · 3 paperscurrent🎓University of California, Santa CruzSanta Cruz · United States2025 · 3 paperscurrent🎓Chinese University of Hong KongHong Kong · China2024–2025 · 2 paperscurrent🎓Chinese University of Hong Kong, ShenzhenShenzhen · China2024–2025 · 2 paperscurrent🎓Inner Mongolia Agricultural UniversityHohhot · China2025 · 1 papercurrent🎓Northwest A&F UniversityYangling · China2025 · 1 papercurrent🎓Shenzhen Research Institute of Big DataShenzhen · China2025 · 1 papercurrent🔬IBM Research - AlmadenSan Jose · United States2017 · 6 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. JudgeBench: A Benchmark for Evaluating LLM-based Judges (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 (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 ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHang Zhang et al.2019 · 297 citations
2. Language Models are Open Knowledge Graphs ↗arXiv (Cornell University) · no summary yetChenguang Wang, Xiao Liu, Dawn Xiaodong Song2020 · 126 citations
3. JudgeBench: A Benchmark for Evaluating LLM-based JudgesarXiv:2410.12784Sijun Tan, Siyuan Zhuang, Kyle Montgomery, et al.2024 · 101 citations
4. DeepStruct: Pretraining of Language Models for Structure Prediction ↗Findings of the Association for Computational Linguistics: ACL 2022 · no summary yetChenguang Wang et al.2022 · 83 citations
5. Zero-Shot Information Extraction as a Unified Text-to-Triple Translation ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetChenguang Wang et al.2021 · 59 citations
6. Joint Language Semantic and Structure Embedding for Knowledge Graph Completion ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetJianhao Shen et al.2022 · 29 citations
7. Benchmarking Language Models for Code Syntax Understanding ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetDa Shen et al.2022 · 14 citations
8. Agent Instructs Large Language Models to be General Zero-Shot Reasoners ↗arXiv:2310.03710 · no summary yetNicholas Crispino et al.2023 · 13 citations
9. AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetZhun Wang et al.2025 · 9 citations
10. IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetChenguang Wang, Xiao Liu, Dawn Song2022 · 9 citations
11. AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents ↗arXiv (Cornell University) · no summary yetWang, Zhun et al.2025 · 5 citations
12. PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetJianhao Shen et al.2022 · 4 citations
13. MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models ↗Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM) · no summary yetJianhong Tu et al.2025 · 2 citations
14. COSMIC: Generalized Refusal Direction Identification in LLM Activations ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetVincent Siu et al.2025 · 1 citation
15. Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at ScaleFindings of the Association for Computational LinguisticsJianhong Tu, Nicholas Crispino, Kyle Montgomery, et al.2026
16. VMDT: Decoding the Trustworthiness of Video Foundation Models ↗neural information processing systems · no summary yetYujin Potter et al.2025
17. RepIt: Steering Language Models with Concept-Specific Refusal Vectors ↗arXiv:2509.13281 · no summary yetVincent Siu et al.2025
18. Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetEric Pasewark et al.2024

🤝 Co-authors here

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

• Kyle Montgomery ×2
• Dawn Song
• Ion Gabriel Stoica
• Jianhong Tu
• 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: Findings of the Association for Computational Linguistics 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 →.

Updated 2 November 2026

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