---
title: "Who cites Yanqi Zhou — page 7"
description: "8,127 papers of the Elamur Research library cite the works of Yanqi Zhou, found in their bibliographies · page 7 of 7 · 601–669; the most cited first."
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---
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# Who cites Yanqi Zhou

8,538 citations of their works from 8,127 papers of our library (of the 140,884 whose bibliographies we read) · 669 with a page here, the most cited first · page 7 of 7 · 601–669 · [← Yanqi Zhou](https://md.research.elamur.ai/free/en/authors/yanqi-zhou/)

[← prev](https://md.research.elamur.ai/free/en/authors/yanqi-zhou/cited-by/page/6/) [1](https://md.research.elamur.ai/free/en/authors/yanqi-zhou/cited-by/) … [6](https://md.research.elamur.ai/free/en/authors/yanqi-zhou/cited-by/page/6/) **7**

601. [**Prompt-based Logical Semantics Enhancement for Implicit Discourse Relation Recognition**Chenxu Wang, Ping Jian, Mu Huang*2023 · 8 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-prompt-based-logical-semantics-enhancement/)
602. [**HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew**Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/argaman-2024-hesum-novel-dataset-abstractive-text/)
603. [**RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework**Yifan Wang, Vera Demberg*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)
604. [**MarSan at SemEval-2022 Task 6: iSarcasm Detection via T5 and Sequence Learners**Maryam Najafi, Ehsan Tavan*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/najafi-2022-marsan-semeval-2022-task-6/)
605. [**Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic**Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alyafeai-2024-arabic-stable-lm-adapting-stable/)
606. [**Multilingual coreference resolution as text generation**Natalia Skachkova*2024 · 6 citations*](https://md.research.elamur.ai/free/en/papers/skachkova-2024-multilingual-coreference-resolution-as-text/)
607. [**AraFinNews: Arabic Financial Summarisation with Domain-Adapted LLMs**Mo El-Haj, Paul Rayson*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/el-haj-2025-arafinnews-arabic-financial-summarisation-domain/)
608. [**Kuwain 1.5B: An Arabic SLM via Language Injection**Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/hennara-2025-kuwain-1-5b-arabic-slm/)
609. [**Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations**Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2025-mechanisms-vs-outcomes-probing-syntax/)
610. [**AraT5-MSAizer: Translating Dialectal Arabic to MSA**Murhaf Fares*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/fares-2024-arat5-msaizer-translating-dialectal-arabic/)
611. [**ASOS at OSACT6 Shared Task: Investigation of Data Augmentation in Arabic Dialect-MSA Translation**Omer Nacar, Abdullah Alharbi, Serry Sibaee, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/nacar-2024-asos-osact6-shared-task-investigation/)
612. [**Frame In, Frame Out: Measuring Framing Bias in LLM-Generated News Summaries**Valeria Pastorino, Nafise Sadat Moosavi*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/pastorino-2026-frame-frame-out-measuring-framing/)
613. [**Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only Architectures**Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/manna-2026-gender-disambiguation-machine-translation-diagnostic/)
614. [**Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model**Ahlam Alrehili, Areej Alhothali*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-towards-development-balanced-synthetic-data/)
615. [**Subject-verb agreement with Seq2Seq transformers: Bigger is better, but still not best**Michael Wilson, Zhenghao Zhou, Robert Frank*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/wilson-2023-subject-verb-agreement-seq2seq-transformers/)
616. [**Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs**Shaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/shmidman-2026-dicta-lm-3-0-advancing/)
617. [**Can Large Language Models Predict the Outcome of Judicial Decisions?**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Amani Al-Ghraibah*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kmainasi-2025-large-language-models-predict-outcome/)
618. [**SHAMI-MT: A Syrian Arabic Dialect to Modern Standard Arabic Bidirectional Machine Translation System**Serry Sibaee, Omer Nacar, Yasser Al-Habashi, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/sibaee-2025-shami-mt-syrian-arabic-dialect/)
619. [**Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization**Bashar Al-Rfooh, Gheith Abandah, Rami Al-Rfou*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/al-rfooh-2023-fine-tashkeel-finetuning-byte-level/)
620. [**Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT**Anuja Tayal, Devika Salunke, Barbara Di Eugenio, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tayal-2026-conversational-assistants-support-patients-heart/)
621. [**CorefInst: Leveraging LLMs for Multilingual Coreference Resolution**Tuğba Pamay Arslan, Emircan Erol, Gülşen Eryiğit*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/arslan-2026-corefinst-leveraging-llms-multilingual-coreference/)
622. [**Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands Māori**Rolando Coto-Solano, Daisy Li, Manoela Teleginski Ferraz, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/solano-2026-diacritic-restoration-low-resource-indigenous/)
623. [**HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models**Stephan Oepen, Nikolay Arefyev, Mikko Aulamo, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/oepen-2026-hplt-3-0-very-large/)
624. [**Introducing a Bangla Sentence – Gloss Pair Dataset for Bangla Sign Language Translation and Research**Neelavro Saha, Rafi Shahriyar, Nafis Ashraf Roudra, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/saha-2026-introducing-bangla-sentence-gloss-pair/)
625. [**SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages**Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/panahi-2026-synthllm-llm-based-scalable-synthetic/)
626. [**Team QUESPA System Submission for the IWSLT 2026 Dialectal and Low-resource Speech Translation Task**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ortega-2026-team-quespa-system-submission-iwslt/)
627. [**Dense Retrieval for Low Resource Languages — the Case of Amharic Language**Tilahun Yeshambel, Moncef Garouani, Serge Molina, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yeshambel-2025-dense-retrieval-low-resource-languages/)
628. [**Rationale-Guided Distillation for E-Commerce Relevance Classification: Bridging Large Language Models and Lightweight Cross-Encoders**Sanjay Agrawal, Faizan Ahemad, Vivek Varadarajan Sembium*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/agrawal-2025-rationale-guided-distillation-e-commerce/)
629. [**AlcLaM: Arabic Dialectal Language Model**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
630. [**Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models**Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-investigating-persuasion-techniques-arabic-empirical/)
631. [**Assessing the influence of attractor-verb distance on grammatical agreement in humans and language models**Christos Zacharopoulos, Théo Desbordes, Mathias Sablé-Meyer*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zacharopoulos-2023-assessing-influence-attractor-verb-distance/)
632. [**Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)**Zezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/)
633. [**QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)**Shaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/qiao-2023-qa-kgnet-language/)
634. [**AraDynFact: Dynamic Evaluation of Factual Knowledge in Arabic**Ignacio Iacobacci, Faroq Altam, Zhaozhi Qian, et al.*2026*](https://md.research.elamur.ai/free/en/papers/iacobacci-2026-aradynfact-dynamic-evaluation-factual-knowledge/)
635. [**Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation**Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya*2026*](https://md.research.elamur.ai/free/en/papers/shejole-2026-assessing-improving-punctuation-robustness-english/)
636. [**Bangla Key2Text: Text Generation from Keywords for a Low Resource Language**Tonmoy Talukder, G M Shahariar*2026*](https://md.research.elamur.ai/free/en/papers/talukder-2026-bangla-key2text-text-generation-keywords/)
637. [**Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMs**Arnav Attri, Anuj Attri*2026*](https://md.research.elamur.ai/free/en/papers/attri-2026-bridging-cognition-affect-emotion-aware/)
638. [**Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations**Frank Mtumbuka, Steven Schockaert*2026*](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/)
639. [**EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates**Ludovic Moncla, Pierre Nugues, Thierry Joliveau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moncla-2026-edda-coordinata-annotated-dataset-historical/)
640. [**Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language Models**Olga Pelloni, Sandra Just, Lars Bongo*2026*](https://md.research.elamur.ai/free/en/papers/pelloni-2026-evaluation-multilingual-text-simplification-mental/)
641. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)
642. [**Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output**Joris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/)
643. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/)
644. [**Mimicking Neural Machine Translation History for Pedagogic Reasons**Vincent Vandeghinste*2026*](https://md.research.elamur.ai/free/en/papers/vandeghinste-2026-mimicking-neural-machine-translation-history/)
645. [**Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR**Wenyang Gao, Yaxuan Li, Yunxin Bao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/)
646. [**MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages**Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lombard-2026-mzansitext-mzansilm-open-corpus-decoder/)
647. [**PARL: Prompt-based Agents for Reinforcement Learning**Yarik Menchaca Resendiz, Roman Klinger*2026*](https://md.research.elamur.ai/free/en/papers/resendiz-2026-parl-prompt-based-agents-reinforcement/)
648. [**PrePPER: A Preference Pattern-based Profiling Framework for Explainable Recommendation**Taisuke Usumi, Akiko Masaki, Sanae Muramatsu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/usumi-2026-prepper-preference-pattern-based-profiling/)
649. [**Quality and Appropriateness of Large Text Datasets for Irish NLP**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/)
650. [**Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment Analysis**Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tu-2026-reason-learn-r2l-multi-agent/)
651. [**Russian Generative Spelling, Punctuation and Capitalization Correction**Nikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martynov-2026-russian-generative-spelling-punctuation-capitalization/)
652. [**SPQ: An Ensemble Technique for Large Language Model Compression**Jiamin Yao, Eren Gultepe*2026*](https://md.research.elamur.ai/free/en/papers/yao-2026-spq-ensemble-technique-large-language/)
653. [**SWAN: Semantic Watermarking with Abstract Meaning Representation**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/)
654. [**The Impact of Tokenization Algorithms on Hungarian Language Model Performance**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/)
655. [**The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM Watermarks**Yusheng Zhao, Jian Zhao, Tianle Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhao-2026-mark-fades-adaptive-evolutionary-paraphrase/)
656. [**The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform**Panagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tsolakis-2026-matos-pipeline-translation-scientific-abstracts/)
657. [**TRACER: Early Failure Detection for Task-Oriented Dialogue**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-tracer-early-failure-detection-task/)
658. [**Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/)
659. [**ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC**Ahlam Alrehili, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-arbesc-arabic-enhanced-edit-selection/)
660. [**Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)**Xindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-huaputong-large-language/)
661. [**Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution**Tatiana Anikina, Arne Binder, David Harbecke, et al.*2025*](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/)
662. [**SmolKalam: Ensemble Quality-Filtered Translation at Scale for High Quality Arabic Post-Training Data**Sultan Alrashed, Chadi Helwe, Francesco Orabona*2025*](https://md.research.elamur.ai/free/en/papers/alrashed-2025-smolkalam-ensemble-quality-filtered-translation/)
663. [**Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)**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/)
664. [**Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/)
665. [**Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/)
666. [**From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)**Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.*2024*](https://md.research.elamur.ai/free/en/papers/miao-2024-foundation-intelligence-general/)
667. [**On the importance of Data Scale in Pretraining Arabic Language Models**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/)
668. [**Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)**Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.*2023*](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/)
669. [**Survey on Commonsense Question Answering (常识问答研究综述)**Yifan Fan (范怡帆), Bowei Zou (邹博伟), Qingting Xu (徐庆婷), et al.*2023*](https://md.research.elamur.ai/free/en/papers/fan-2023-commonsense-question-answering/)

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