---
title: "Zheng Zhang — papers of 2026 — 3 papers, the most cited first"
description: "Zheng Zhang — 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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# Zheng Zhang — papers of 2026 — 3 papers, the most cited first

3 papers · [all years of Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/#years)

**[FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression](https://md.research.elamur.ai/free/en/papers/tian-2026-flat-llm-fine-grained-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiayi Tian, Ryan Solgi, Jinming Lu, et al.*2026 · 2 citations*

**[Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees](https://md.research.elamur.ai/free/en/papers/zhang-2026-controllable-contamination-detection-reliable-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zheng Zhang, Qi Liu, Siyuan Liang, et al.*2026*

**[Semantic, Syntactic, Lexical: What Makes QA Augmentation Work in Limited Quantity?](https://md.research.elamur.ai/free/en/papers/rachmat-2026-semantic-syntactic-lexical-what-makes/) [Workshop on Structured Linguistic Data and Evaluation (SLiDE)](https://md.research.elamur.ai/free/en/venues/slide/)**Benedictus Kent Rachmat, Thomas Gerald, Takuya Nakamura, et al.*2026*