---
title: "Who cites Xiaokang Zhang — page 11 — 3,784 citing papers"
description: "3,784 papers of the Elamur Research library cite the works of Xiaokang Zhang, found in their bibliographies · page 11 of 11 · 1001–1037; the…"
canonical: "https://research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/page/11/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/page/11/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xiaokang Zhang](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/) / [cited by](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/) / page 11

# Who cites Xiaokang Zhang

3,825 citations of their works from 3,784 papers of our library (of the 149,439 whose bibliographies we read) · 1,037 with a page here, the most cited first · page 11 of 11 · 1001–1037 · [← 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/10/) [1](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/) … [10](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/page/10/) **11**

1001. **[TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-trace-experiential-framework-coherent-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingxu Wang, Jiaxin Huang, Mengzhu Wang, et al.*2026*
1002. **[Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-tracing-light-thought-probabilistic-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoyang Liu, Dawei Wang, Tian Li, et al.*2026*
1003. **[Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation](https://md.research.elamur.ai/free/en/papers/ye-2026-translation-thought-difficulty-adaptive-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongshi Ye, Biao Fu, Chongxuan Huang, et al.*2026*
1004. **[TrendFact: A Benchmark Towards Hotspot Perception in Automatic Fact-Checking](https://md.research.elamur.ai/free/en/papers/zhang-2026-trendfact-benchmark-hotspot-perception-automatic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaocheng Zhang, Xi Wang, Yifei Lu, et al.*2026*
1005. **[TrigReason: Trigger-Based Collaboration between Small and Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/zhao-2026-trigreason-trigger-based-collaboration-between/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yi Zhao, Yajuan Peng, Cam-Tu Nguyen, et al.*2026*
1006. **[TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-triplay-rl-tri-role-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.*2026*
1007. **[Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies](https://md.research.elamur.ai/free/en/papers/shen-2026-truth-or-sophistry-lofa-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xudong Shen, li Yuan, Ye Chen, et al.*2026*
1008. **[U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents](https://md.research.elamur.ai/free/en/papers/su-2026-u-fold-dynamic-intent-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Su, Runnan Fang, Yeqiu Li, et al.*2026*
1009. **[Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes](https://md.research.elamur.ai/free/en/papers/myers-2026-uncovering-hidden-violent-tendencies-llms/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Quintin Myers, Yanjun Gao*2026*
1010. **[Uncovering Strategic Egoism Behaviors in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-uncovering-strategic-egoism-behaviors-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaoyuan Zhang, Zonghao Ying, Aishan Liu, et al.*2026*
1011. **[Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow Optimization](https://md.research.elamur.ai/free/en/papers/xu-2026-understanding-preventing-entropy-collapse-rlvr/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Huimin Xu, Shuai Zhao, Xiaobao Wu, et al.*2026*
1012. **[Understanding Conflicts in Multi-Objective Alignment through Reward Consistency](https://md.research.elamur.ai/free/en/papers/xu-2026-understanding-conflicts-multi-objective-alignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhihao Xu, Yongqi Tong, Xin Zhang, et al.*2026*
1013. **[Validating Automatic Evaluation of Controllable Counterspeech Generation: Rankings Matter More Than Scores](https://md.research.elamur.ai/free/en/papers/zheng-2026-validating-automatic-evaluation-controllable-counterspeech/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yi Zheng, Björn Ross, Walid Magdy*2026*
1014. **[VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization](https://md.research.elamur.ai/free/en/papers/yao-2026-vecinfer-efficient-llm-inference-low/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingyu Yao, Chenxu Yang, Zhengyang Tong, et al.*2026*
1015. **[Verifier-Free RL for LLMs via Intrinsic Gradient-Norm Reward](https://md.research.elamur.ai/free/en/papers/wen-2026-verifier-free-rl-llms-intrinsic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuexiang Wen, Hang Yu, Linchao Zhu, et al.*2026*
1016. **[Verifying the Subjective: Structured Multilingual Rewards for Low-Resource Alignment](https://md.research.elamur.ai/free/en/papers/sha-2026-verifying-subjective-structured-multilingual-rewards/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiu Sha, Mengxiao Zhu*2026*
1017. **[Vinclat: Evaluating Reasoning, Cognition and Culture in One Game](https://md.research.elamur.ai/free/en/papers/pamies-2026-vinclat-evaluating-reasoning-cognition-culture/) [Workshop on Multilingual Multicultural Evaluation](https://md.research.elamur.ai/free/en/venues/mme/)**Marc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.*2026*
1018. **[VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning](https://md.research.elamur.ai/free/en/papers/xiao-2026-vl-calibration-decoupled-confidence-calibration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenyi Xiao, Xinchi XU, Leilei Gan*2026*
1019. **[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*
1020. **[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*
1021. **[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*
1022. **[When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure](https://md.research.elamur.ai/free/en/papers/xiao-2026-when-correct-beliefs-collapse-epistemic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyu Xiao, Xiuqi Tian, Xuwen Song, et al.*2026*
1023. **[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*
1024. **[When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors](https://md.research.elamur.ai/free/en/papers/yang-2026-when-llms-read-tables-carelessly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuqing Yang, Qi Zhu, Zhen Han, et al.*2026*
1025. **[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*
1026. **[When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-when-trust-tools-adaptive-tool/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruotao Xu, Yixin Ji, Yu Luo, et al.*2026*
1027. **[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*
1028. **[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*
1029. **[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*
1030. **[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*
1031. **[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*
1032. **[YNU-HPCC at SemEval-2026 Task 6: Hierarchical Taxonomy Prompting and CoT Distillation for Political Clarity Classification](https://md.research.elamur.ai/free/en/papers/wen-2026-ynu-hpcc-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Canning Wen, Jin Wang, Xuejie Zhang*2026*
1033. **[ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval](https://md.research.elamur.ai/free/en/papers/yang-2026-zoomr-memory-efficient-reasoning-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, et al.*2026*
1034. **[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*
1035. **[LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context Understanding](https://md.research.elamur.ai/free/en/papers/jubair-2025-lc-eval-bilingual-multi-task/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sheikh Jubair, Arwa Omayrah, Amal Alshammari, et al.*2025*
1036. **[mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot Prompting](https://md.research.elamur.ai/free/en/papers/abdou-2025-mucai-ahasis-shared-task-sentiment/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Ahmed Mohamed Abdelaal Abdou*2025*
1037. [**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/)

[← prev](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/page/10/) [1](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/) … [10](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/cited-by/page/10/) **11**

2,747 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/xiaokang-zhang/) — Xiaokang Zhang