---
title: "Who cites Xiaokang Zhang — page 9 — 3,653 citing papers"
description: "3,653 papers of the Elamur Research library cite the works of Xiaokang Zhang, found in their bibliographies · page 9 of 9 · 801–812; the most…"
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---
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# Who cites Xiaokang Zhang

3,682 citations of their works from 3,653 papers of our library (of the 149,439 whose bibliographies we read) · 812 with a page here, the most cited first · page 9 of 9 · 801–812 · [← Xiaokang Zhang](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/)

[← prev](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/page/8/) [1](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/) … [8](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/page/8/) **9**

801. **[WaveDetect: Robust Framework for Machine-Generated Text Detection via Wavelet Transform](https://md.research.elamur.ai/free/en/papers/liu-2026-wavedetect-robust-framework-machine-generated/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichen Liu, Kaitong Qin, Linhan He, et al.*2026*
802. **[WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning](https://md.research.elamur.ai/free/en/papers/wang-2026-webclipper-efficient-evolution-web-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjie Wang, Zequn Xie, Dan Yang, et al.*2026*
803. **[What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation](https://md.research.elamur.ai/free/en/papers/tan-2026-what-does-llm-refinement-actually/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaomu Tan, Dawei Zhu, Ke Tran, et al.*2026*
804. **[When Facts Change: Temporal Knowledge Conflict Resolution in LLMs](https://md.research.elamur.ai/free/en/papers/wallat-2026-when-facts-change-temporal-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jonas Wallat, Wolfgang Nejdl, Sandipan Sikdar*2026*
805. **[When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue](https://md.research.elamur.ai/free/en/papers/shalmani-2026-when-database-fails-prompting-llm/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Jiann S. Yuan*2026*
806. **[When Users Are Happy but Agents Are Wrong: Multi-Dimensional Evaluation of Tool-Augmented Dialogue](https://md.research.elamur.ai/free/en/papers/shourya-2026-when-users-are-happy-but/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Tanya Shourya, Yingfan Wang, Zhaoyi Joey Hou, et al.*2026*
807. **[Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement](https://md.research.elamur.ai/free/en/papers/shim-2026-which-bird-does-not-have/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Midan Shim, Seokju Hwang, KaeHyun Um, et al.*2026*
808. **[Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-why-does-reinforcement-learning-generalize/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dan Shi, Zhuowen Han, Simon Ostermann, et al.*2026*
809. **[Will it Merge? On The Causes of Model Mergeability](https://md.research.elamur.ai/free/en/papers/rahamim-2026-will-it-merge-causes-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adir Rahamim, Asaf Yehudai, Boaz Carmeli, et al.*2026*
810. **[Yesterday's News: Benchmarking Multi-Dimensional Out-of-Distribution Generalization of Misinformation Detection Models](https://md.research.elamur.ai/free/en/papers/verhoeven-2026-yesterday-s-news-benchmarking-multi/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Ivo Verhoeven, Pushkar Mishra, Ekaterina Shutova*2026*
811. **[Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and Evaluation](https://md.research.elamur.ai/free/en/papers/han-2025-generating-questions-under-discussion-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kelvin Han, Claire Gardent*2025*
812. [**Survey of Tool Use in Large Language Models (大语言模型的工具使用综述) Acta Automatica Sinica (自动化学报)**Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zheng-2025-tool-use-large/)

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2,841 more citing papers of our library have no page here yet.

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