---
title: "Guangzhou University — works of 2026 — 5 papers in our library"
description: "5 works of Guangzhou University from 2026 in our library, the most cited first. Among them: HqeKV: Towards Hybrid Quantization and…"
canonical: "https://research.elamur.ai/free/en/universities/guangzhou-university/year/2026/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/universities/guangzhou-university/year/2026/)

[home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [universities](https://md.research.elamur.ai/free/en/universities/) / [Guangzhou University](https://md.research.elamur.ai/free/en/universities/guangzhou-university/) / 2026

# Works of Guangzhou University from 2026

5 works · the most cited first · [← Guangzhou University](https://md.research.elamur.ai/free/en/universities/guangzhou-university/)

1. **[HqeKV: Towards Hybrid Quantization and Eviction for KV Cache in Long-Context LLM Inference](https://md.research.elamur.ai/free/en/papers/wang-2026-hqekv-hybrid-quantization-eviction-kv/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**He Wang, Yu Gu, Fangfang Li, et al.*2026 · 1 citation*
2. **[Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression](https://md.research.elamur.ai/free/en/papers/sun-2026-dual-activation-weight-sparsity-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Luoyang Sun, Guangyan Li, Cheng Deng, et al.*2026*
3. **[Privacy Risks of Intermediate Representations: Attribute Inference in Distributed LLM Inference](https://md.research.elamur.ai/free/en/papers/lyu-2026-privacy-risks-intermediate-representations-attribute/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Lyu, Jin Cao, Yang Xiao, et al.*2026*
4. **[SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking](https://md.research.elamur.ai/free/en/papers/xue-2026-sharp-self-adaptive-harmful-category/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingjie Xue, Xingyou Xia, Jun Zhang, et al.*2026*
5. **[Speak No Evil, Just Prompt: Low-resource Multilingual Toxic Speech Detection with Audio Language Model](https://md.research.elamur.ai/free/en/papers/zuo-2026-speak-no-evil-just-prompt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingzi Zuo, Lei Zhang, Hailiang Sun, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/universities/guangzhou-university/) — Guangzhou University