---
title: "Li Sun — papers of 2026 — 3 papers, the most cited first"
description: "Li Sun — papers of 2026: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/li-sun/year/2026/"
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# Li Sun — papers of 2026 — 3 papers, the most cited first

3 papers · [all years of Li Sun](https://md.research.elamur.ai/free/en/authors/li-sun/#years)

**[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*

**[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*

**[RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios](https://md.research.elamur.ai/free/en/papers/zhang-2026-rsa-bench-benchmarking-audio-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Zhang, Kaiwen Luo, Liang Lin, et al.*2026*