🧑‍🔬 Kuofeng Gao

🏛️ Affiliations

🎓Tsinghua UniversityBeijing · China2021–2026 · 38 paperscurrent🎓Tsinghua Shenzhen International Graduate SchoolShenzhen · China2021–2026 · 17 paperscurrent🔬Tsinghua–Berkeley Shenzhen InstituteShenzhen · China2026 · 2 paperscurrent🎓University Town of ShenzhenShenzhen · China2026 · 2 paperscurrent🎓Dalian UniversityDalian · China2026 · 1 papercurrent🎓Dalian University of TechnologyDalian · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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. Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models (2025 · 12 citations)
   Large Audio-Language Models (LALMs) such as GPT-4o can now hold spoken conversations directly with users. Until this work, however, no benchmark tested how well they understand open-ended audio dialogue. Earlier evaluations covered basic audio tasks, audio QA driven by text instructions, or general-purpose chat only.
2. Infinite Babble: Inflating 3D Vision-Language Model Inference Overhead via Adversarial Geometric Perturbation (2026)
   The paper examines a resource-exhaustion threat to 3D Vision-Language Models (3D-VLMs). These models decode text autoregressively and often take in untrusted 3D assets downloaded from the internet. The authors present Inflate3D, which they describe as the first attack of this type that works only in the point cloud…
3. When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models (2026)
   KV cache compression is now common in LLM serving because it saves memory and time, but its effect on safety alignment has received little attention.

All works

4 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. Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kuofeng Gao, Shu-Tao Xia, Ke Xu, et al.2025 · 12 citations
2. Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetHao Fang et al.2025 · 7 citations
3. Infinite Babble: Inflating 3D Vision-Language Model Inference Overhead via Adversarial Geometric PerturbationFindings of the Association for Computational LinguisticsShuoyang Sun, Jiaxin Hong, Yv Zhang, et al.2026
4. When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu, et al.2026

🤝 Co-authors here

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

• Shu-Tao Xia ×3
• Bin Chen ×2
• Hao Fang ×2
• Hao Wu
• Jindong Gu
• Ke Xu
• Philip H. S. Torr
• Xiaoxiao Ma

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated 1 November 2026

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