--- title: "Li Sun — author profile and papers — Elamur Research" description: "Li Sun, Beijing University of Posts and Telecommunications: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/li-sun/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/li-sun/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Li Sun # Li Sun Li Sun has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Liang Lin](https://md.research.elamur.ai/free/en/authors/liang-lin/), [Zhenhong Zhou](https://md.research.elamur.ai/free/en/authors/zhenhong-zhou/), [Jin Wang](https://md.research.elamur.ai/free/en/authors/jin-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139804288) · [**h-index 0**](https://openalex.org/authors/A5139804288) · [5 works](https://openalex.org/works?filter=author.id:A5139804288) · [0 citations](https://openalex.org/works?filter=author.id:A5139804288&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/li-sun/#papers) · 🔗 Cited 1 time in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11584](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11584) 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=Li+Sun) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Li+Sun) · [dblp](https://dblp.org/search?q=Li+Sun) · [ACL Anthology](https://aclanthology.org/search/?q=Li+Sun) ## Affiliations [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/li-sun/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-see-signal-embedding-energy-quantifying/)** *(2026 · 1 citation)* Large Audio Language Models (LALMs) used in settings like car assistants or meeting tools often receive audio degraded by device and environmental noise. 2. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/)** *(2026)* Audio Large Language Models (ALLMs) are trained on huge amounts of speech. The authors ask whether this training lets them work out private facts about a speaker from the voice alone, with no help from what is actually said. To test this, they built HearSay, a benchmark of more than 22,000 real recordings. Most clips… ## All works 3 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. **[SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-see-signal-embedding-energy-quantifying/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanhe Zhang, Jiayu Tian, Yibo Zhang, et al.*2026 · 1 citation* 2. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026* 3. **[RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios ↗](https://aclanthology.org/2026.findings-acl.913/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yibo Zhang et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Liang Lin](https://md.research.elamur.ai/free/en/authors/liang-lin/) ×2 - [Zhenhong Zhou](https://md.research.elamur.ai/free/en/authors/zhenhong-zhou/) ×2 - [Jin Wang](https://md.research.elamur.ai/free/en/authors/jin-wang/) - [Kun Wang](https://md.research.elamur.ai/free/en/authors/kun-wang/) - [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/) - [Xuehai Tang](https://md.research.elamur.ai/free/en/authors/xuehai-tang/) - [Yuanhe Zhang](https://md.research.elamur.ai/free/en/authors/yuanhe-zhang/) ## 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)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026