---
title: "Jun Sun — papers of 2026 — 3 papers, the most cited first"
description: "Jun Sun — papers of 2026: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Jun Sun — papers of 2026 — 3 papers, the most cited first

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

**[Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2026-unleashing-unseen-harnessing-benign-datasets/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Zhao, Zhe Li, Yige Li, et al.*2026 · 1 citation*

**[Rendering Data Unlearnable by Exploiting LLM Alignment Mechanisms](https://md.research.elamur.ai/free/en/papers/zhang-2026-rendering-data-unlearnable-exploiting-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruihan Zhang, Jun Sun*2026*

**[Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets](https://md.research.elamur.ai/free/en/papers/xiao-2026-train-vain-functionality-preserving-poisoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuan Xiao, Jiaming Wang, Yuchen Chen, et al.*2026*