---
title: "Kun He — papers of 2026 — 2 papers, the most cited first"
description: "Kun He — papers of 2026: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Kun He — papers of 2026 — 2 papers, the most cited first

2 papers · [all years of Kun He](https://md.research.elamur.ai/free/en/authors/kun-he/#years)

**[Federated LoRA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing](https://md.research.elamur.ai/free/en/papers/wang-2026-federated-lora-fine-tuning-pipelined/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Wang, Xiong Wang, Yuqing Li, et al.*2026*

**[Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-latent-attention-denoising-training-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.*2026*