Guangzhi Sun
Guangzhi Sun has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Speech & spoken language, Evaluation & benchmarks; often with Changli Tang, Chao Zhang, Wei Li.
OpenAlex · ORCID · Wikidata · h-index 38 · 128 works · 5,496 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 196 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5530
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 workLanguage and Linguistics · 1 workSignal Processing · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workSpeech & spoken language · 1 work
Works by year
2020s
Papers
- SALMONN: Towards Generic Hearing Abilities for Large Language Models (2023 · 209 citations)
Most multimodal LLMs that accept sound handle only one kind of input: speech, environmental audio events, or music. - Audio-centric Video Understanding Benchmark without Text Shortcut (2025 · 10 citations)
Benchmarks for multimodal LLMs that handle video mostly test vision. Audio, when it appears at all, plays a supporting role. Many of these benchmarks also have a "text shortcut": a model can often pick the right answer from the question and options alone, without watching the video. The authors address both problems…
All works
- SALMONN: Towards Generic Hearing Abilities for Large Language ModelsarXiv:2310.13289Changli Tang, Wenyi Yu, Guangzhi Sun, et al.2023 · 209 citations
- Audio-centric Video Understanding Benchmark without Text ShortcutConference on Empirical Methods in Natural Language Processing (EMNLP)Yudong Yang, Jimin Zhuang, Guangzhi Sun, et al.2025 · 10 citations
- Protecting Bystander Privacy via Selective Hearing in Audio LLMs ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiao Zhan et al.2026
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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