🧑‍🔬 Tong Sun

🏛️ Affiliations

🎓George Mason UniversityFairfax · United States2021–2026 · 7 papersEducationcurrent🏢Adobe SystemsSan Jose · United States2019–2025 · 22 papers🏢XeroxNorwalk · United States2005–2013 · 15 papers🎓Tampere University of TechnologyTampere · Finland1992–2005 · 7 papers🎓University of Massachusetts LowellLowell · United States2016–2019 · 6 papers🎓Henan Agricultural UniversityZhengzhou · China2023–2024 · 3 papers🎓Shenyang Institute of Science and TechnologyShenyang · China2021–2022 · 3 papers🎓Texas A&M UniversityCollege Station · United States2021 · 2 papers🔬Palo Alto Research CenterPalo Alto · United States2014–2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding (2023 · 98 citations)
   Visual instruction-tuned assistants such as LLaVA learn mostly from natural photos, so they handle text inside images poorly.
2. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models (2023 · 90 citations)
   Large language models can be pushed past their safety alignment in two ways. Hand-written jailbreaks read naturally, but there are few of them and providers can blocklist them. Gradient-based attacks such as GCG can produce endless prompts, but the output is gibberish that perplexity filters catch easily. This paper…
3. E-ABSA20K: A Dataset and Propose-and-Verify for Aspect-Based Sentiment Analysis in Long E-commerce Reviews (2026)
   Most ABSA benchmarks consist of short texts from a few domains. Real e-commerce reviews are longer, mention many aspects at once, use informal language, and spread evidence across sentences. To address this gap, the authors built E-ABSA20K: 20,000 English reviews (about 0.8% code-mixed) from a Southeast Asian…

All works

6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Towards Language-Free Training for Text-to-Image Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYufan Zhou et al.2022 · 216 citations
2. Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetMengnan Du et al.2021 · 120 citations
3. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image UnderstandingarXiv:2306.17107Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, et al.2023 · 98 citations
4. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsarXiv:2310.15140Sicheng Zhu, Ruiyi Zhang, Bang An, et al.2023 · 90 citations
5. E-ABSA20K: A Dataset and Propose-and-Verify for Aspect-Based Sentiment Analysis in Long E-commerce ReviewsFindings of the Association for Computational LinguisticsTong Sun, Mingyang Ma, Cheng Yu2026
6. Spoken language interaction with robots: Recommendations for future research ↗Carolina Digital Repository (University of North Carolina at Chapel Hill) · no summary yetRaymond J. Mooney et al.2025

🤝 Co-authors here

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

• Ruiyi Zhang ×2
• Ani Nenkova
• Bang An
• Cheng Yu
• Diyi Yang
• Furong Huang
• Gang Wu
• Jiuxiang Gu
• Joe Barrow
• Nedim Lipka
• Yanzhe Zhang
• Zichao Wang

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: Findings of the Association for Computational Linguistics 2026
• Carolina Digital Repository (University of North Carolina at Chapel Hill)
• 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 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

🔗 Cited by

Papers of our library cite their works 236 times (of the 149,439 papers whose bibliographies we read); 64 citing papers with a page here →.

Updated 2 November 2026

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