---
title: "Who cites Kun Luo — page 2 — 534 papers of our library"
description: "534 papers of the Elamur Research library cite the works of Kun Luo, found in their bibliographies · page 2 of 2 · 101–149; the most cited first."
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---
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# Who cites Kun Luo

553 citations of their works from 534 papers of our library (of the 149,439 whose bibliographies we read) · 149 with a page here, the most cited first · page 2 of 2 · 101–149 · [← Kun Luo](https://md.research.elamur.ai/free/en/authors/kun-luo/)

[← prev](https://md.research.elamur.ai/free/en/authors/kun-luo/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/kun-luo/cited-by/) **2**

101. **[Data Augmentation for Named Entity Recognition in Domain-Specific Scenarios in Portuguese](https://md.research.elamur.ai/free/en/papers/moreira-2026-data-augmentation-named-entity-recognition/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Higor Moreira, Patricia Ferreira da Silva, Luciana Bencke, et al.*2026*
102. **[DIRECT: Directional Relevance in Conversational Trajectories](https://md.research.elamur.ai/free/en/papers/mourya-2026-direct-directional-relevance-conversational-trajectories/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Anshuman Mourya, Rajdeep Mukherjee, Prerna Jolly, et al.*2026*
103. **[Domain-Specific Data Generation Framework for RAG Adaptation](https://md.research.elamur.ai/free/en/papers/tian-2026-domain-specific-data-generation-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chris Xing Tian, Weihao Xie, Zhen Chen, et al.*2026*
104. **[Don't Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting Understanding](https://md.research.elamur.ai/free/en/papers/tang-2026-don-t-just-listen-try/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Quanwei Tang, Dong Zhang, Shoushan Li, et al.*2026*
105. **[Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion](https://md.research.elamur.ai/free/en/papers/park-2026-enhancing-multilingual-rag-systems-debiased/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jeonghyun Park, Byeongjeong Kim, Seojin Hwang, et al.*2026*
106. **[Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and Linking](https://md.research.elamur.ai/free/en/papers/silva-2026-enhancing-scholarly-knowledge-graphs-domain/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto, et al.*2026*
107. **[Evaluating Cost-Efficiency of LLMs in a RAG Setup on Polish Wikipedia: Quality vs. Energy Consumption](https://md.research.elamur.ai/free/en/papers/smits-2026-evaluating-cost-efficiency-llms-rag/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Patrycja Smits, Tomasz Walkowiak*2026*
108. **[Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark Study](https://md.research.elamur.ai/free/en/papers/majumdar-2026-evaluating-llms-detecting-demographic-targeted/) [Workshop of Identity Aware AI](https://md.research.elamur.ai/free/en/venues/iaai/)**Ayan Majumdar, Feihao Chen, Jinghui Li, et al.*2026*
109. **[Evaluating Perspectival Biases in Cross-Modal Retrieval](https://md.research.elamur.ai/free/en/papers/saengsukhiran-2026-evaluating-perspectival-biases-cross-modal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Teerapol Saengsukhiran, Peerawat Chomphooyod, Narabodee Rodjananant, et al.*2026*
110. **[Findings of the MAGMaR 2026 Shared Task](https://md.research.elamur.ai/free/en/papers/martin-2026-findings-magmar-2026-shared-task/) [Workshop on Multimodal Augmented Generation via Multimodal Retrieval](https://md.research.elamur.ai/free/en/venues/magmar/)**Alexander Martin, Dengjia Zhang, Joel Brogan, et al.*2026*
111. **[From Responses to Trajectories: Modeling the Development of Reflective Listening Skills](https://md.research.elamur.ai/free/en/papers/thummar-2026-responses-trajectories-modeling-development-reflective/) [Workshop on Computational Linguistics and Clinical Psychology](https://md.research.elamur.ai/free/en/venues/clpsych/)**Dhruvil Thummar, Verónica Pérez-Rosas*2026*
112. **[Index-Time Prefix Injection for Multi-Tenant Retrieval: Improving Search Relevance Without Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/varshney-2026-index-time-prefix-injection-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Vaibhav Varshney, Manjunatha Naik Mc*2026*
113. [**IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 English arXiv:2609.15618**Ana-Maria Luisa Mocanu, Sebastian Mocanu, Ciprian-Octavian Truica, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mocanu-2026-iroh-insightful-ranking-humor-using/)
114. **[IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yun-2026-itercomp-reasoning-aware-adaptive-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JungMin Yun, YoungBin Kim*2026*
115. **[LatentGate: Low-Latency Semantic Routing via Frozen-Backbone Probing of Small Language Models](https://md.research.elamur.ai/free/en/papers/ratnakar-2026-latentgate-low-latency-semantic-routing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shivam Ratnakar, Abhiroop Talasila, Vinayak K Doifode*2026*
116. **[Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration](https://md.research.elamur.ai/free/en/papers/lv-2026-learning-emptiness-de-biasing-listwise/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Lv, Hongchao Gu, Ruiqing Yang, et al.*2026*
117. **[Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval](https://md.research.elamur.ai/free/en/papers/yan-2026-let-retrievers-think-before-action/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ruiran Yan, Wen Xiong, Ze Liu, et al.*2026*
118. **[LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2026-llm-xtm-enhancing-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, et al.*2026*
119. **[Map-of-Actions: Deliberate Reasoning over Multi-Labeled Graphs](https://md.research.elamur.ai/free/en/papers/ni-2026-map-actions-deliberate-reasoning-over/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Wuguang Ni, Kai Yang*2026*
120. **[MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers](https://md.research.elamur.ai/free/en/papers/ma-2026-match-modulating-attention-context-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.*2026*
121. **[MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks](https://md.research.elamur.ai/free/en/papers/ruan-2026-mtr-suite-framework-evaluating-synthesizing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.*2026*
122. **[NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons](https://md.research.elamur.ai/free/en/papers/zheng-2026-neurag-end-end-neural-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwei Zheng, Xuemin Liu, Jie Liu*2026*
123. **[Optimizing Efficiency in Multi-Stage Semantic Re-ranking Architectures](https://md.research.elamur.ai/free/en/papers/novais-2026-optimizing-efficiency-multi-stage-semantic/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Artur M. A. Novais, Anna P. V. L. B. Moreira, Maria C. X. de Almeida, et al.*2026*
124. **[ParsCORE: The Persian Corpus of Online Registers](https://md.research.elamur.ai/free/en/papers/razzaghi-2026-parscore-persian-corpus-online-registers/) [Proceedings of the Workshop on NLP and LLMs for the Iranian Language Family](https://md.research.elamur.ai/free/en/venues/silkroadnlp/)**Alireza Razzaghi, Erik Henriksson, Veronika Laipalla*2026*
125. **[Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework](https://md.research.elamur.ai/free/en/papers/ma-2026-personalizing-llms-binary-feedback-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xilai Ma, Liye Zhao, Weijun Yao, et al.*2026*
126. [**ProBel: Propaganda Detection with Techniques, Spans, and Explanations arXiv:2608.22388**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Elisa Sartori, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kmainasi-2026-probel-propaganda-detection-techniques-spans/)
127. **[PseudoSeer: a Search Engine for Pseudocode](https://md.research.elamur.ai/free/en/papers/toksoz-2026-pseudoseer-search-engine-pseudocode/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Levent Toksoz, Mukund Srinath, Gang Tan, et al.*2026*
128. **[PUPPET: Neural-Symbolic Standardized Patients for Mental Health](https://md.research.elamur.ai/free/en/papers/xu-2026-puppet-neural-symbolic-standardized-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Xu, Yu Ji, Zhenyu Lyu, et al.*2026*
129. **[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2026-rag-wild-effectiveness-llms-mixture/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ran Xu, Yuchen Zhuang, Yue Yu, et al.*2026*
130. **[Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem](https://md.research.elamur.ai/free/en/papers/song-2026-rethinking-retrieval-augmented-generation-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lichang Song, Ting Long, Yi Chang*2026*
131. **[RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xi-2026-riprag-hack-black-box-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meng Xi, Sihan Lv, Yechen Jin, et al.*2026*
132. **[SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-scmapr-self-correcting-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengyi Yang, Pengzhen Li, Jiayin Qi, et al.*2026*
133. **[SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval](https://md.research.elamur.ai/free/en/papers/xie-2026-sga-mcts-decoupling-planning-execution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin Xie, Dongyun Xue, Wuguannan Yao, et al.*2026*
134. **[Situated Embedding Models for Context-Aware Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2026-situated-embedding-models-context-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjie Wu, Jiangnan Li, Yuqing Li, et al.*2026*
135. **[SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents](https://md.research.elamur.ai/free/en/papers/wastl-2026-swissgov-rsd-human-annotated-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michelle Wastl, Jannis Vamvas, Rico Sennrich*2026*
136. [**The "Small World of Words" German Free-Association Norms arXiv:2604.19620**Samuel Aeschbach, Rui Mata, Kaidi Loo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/aeschbach-2026-small-world-words-german-free/)
137. **[The Overlooked Role of Graded Relevance Thresholds in Multilingual Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wullach-2026-overlooked-role-graded-relevance-thresholds/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tomer Wullach, Ori Shapira, Amir David Nissan Cohen*2026*
138. **[TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale](https://md.research.elamur.ai/free/en/papers/wang-2026-tingis-real-time-risk-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jun Wang, Ziyin Zhang, Rui Wang, et al.*2026*
139. **[ToolCPT: Improving Tool Utilization in LLM Agents via Continuous Pre-training](https://md.research.elamur.ai/free/en/papers/yang-2026-toolcpt-improving-tool-utilization-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Yang, Jinghui Lu, Evadeng, et al.*2026*
140. **[Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice](https://md.research.elamur.ai/free/en/papers/wang-2026-ip-intelligence-benchmarking-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiyao Wang, Guhong Chen, Hongbo Wang, et al.*2026*
141. **[TRACE: Two-Phase RL for Causal Graph Exploration and Deeper Psychological Intervention in Dynamic Counseling Scenarios](https://md.research.elamur.ai/free/en/papers/tang-2026-trace-two-phase-rl-causal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shilin Tang, Zunyi Yin, Xuefeng Liang, et al.*2026*
142. **[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*
143. **[uircis at SemEval-2026 Task 8: A Unified Lightweight Pipeline for Multi-Turn RAG Evaluation](https://md.research.elamur.ai/free/en/papers/zhang-2026-uircis-semeval-2026-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jiaqi Zhang, Wenbin Duan, Yingqi Zhang, et al.*2026*
144. **[Uncovering Currency Bias and Syntax Gap in Text Embedding Models](https://md.research.elamur.ai/free/en/papers/sudevan-2026-uncovering-currency-bias-syntax-gap/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saurav Sudevan, Harsh Pal, Yatin Katyal, et al.*2026*
145. **[When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-when-good-ocr-is-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lin Sun, Wangdexian, Jingang Huang, et al.*2026*
146. **[When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-when-personalization-misleads-understanding-mitigating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhongxiang Sun, Yi Zhan, Chenglei Shen, et al.*2026*
147. **[When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval](https://md.research.elamur.ai/free/en/papers/tao-2026-when-rules-learn-self-evolving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingxu Tao, Jiawei Hu, Xian Zhou, et al.*2026*
148. **[Where meaning lives: Layer-wise accessibility of psycholinguistic features in encoder and decoder language models](https://md.research.elamur.ai/free/en/papers/tikhomirova-2026-where-meaning-lives-layer-wise/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taisiia Tikhomirova, Dirk U. Wulff*2026*
149. **[AAA at MAHED Text-based Hate and Hope Speech Classification: A Systematic Encoder Evaluation for Arabic Hope and Hate Speech Classification](https://md.research.elamur.ai/free/en/papers/elzainy-2025-aaa-mahed-text-based-hate/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Ahmed Khalil Elzainy, Mohamed Amin, Ahmed Samir, et al.*2025*

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