---
title: "Who cites Artidoro Pagnoni — page 3 — 1,784 citing papers"
description: "1,784 papers of the Elamur Research library cite the works of Artidoro Pagnoni, found in their bibliographies · page 3 of 3 · 201–257; the most…"
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# Who cites Artidoro Pagnoni

1,789 citations of their works from 1,784 papers of our library (of the 149,439 whose bibliographies we read) · 257 with a page here, the most cited first · page 3 of 3 · 201–257 · [← Artidoro Pagnoni](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/)

[← prev](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/artidoro-pagnoni/cited-by/page/2/) **3**

201. [**A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战) Acta Automatica Sinica (自动化学报)**Anda Tang (唐岸达), Zhouchen Lin (林宙辰)*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)
202. **[Accelerating LLM Fine-Tuning via Embedding Knowledge Transfer](https://md.research.elamur.ai/free/en/papers/peng-2026-accelerating-llm-fine-tuning-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meishu Peng, Ziyue Zhang, Yi Zhang, et al.*2026*
203. **[Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic Music](https://md.research.elamur.ai/free/en/papers/su-2026-amadeus-autoregressive-model-bidirectional-attribute/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongju Su, Ke Li, Lan Yang, et al.*2026*
204. **[Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models](https://md.research.elamur.ai/free/en/papers/mavromatis-2026-ancient-greek-modern-greek-machine/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Spyridon Mavromatis, Sokratis Sofianopoulos, Prokopis Prokopidis, et al.*2026*
205. **[Are Large Language Models Economically Viable for Industry Deployment?](https://md.research.elamur.ai/free/en/papers/mohammad-2026-are-large-language-models-economically/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abdullah Mohammad, Sushant Kumar Ray, Pushkar Arora, et al.*2026*
206. [**Assessing Suicide Risk in Arabic Crisis Helpline Calls: A Comparison of Arabic and English Large Language Models arXiv:2609.00191**Linhai Ma, Rita El Hachem, Mahatab El Hajj, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-assessing-suicide-risk-arabic-crisis/)
207. [**Benchmarking Arabic — Russian Machine Translation: A Comparison of Fine-tuned NMT and Few-shot LLMs under Rich Morphology and Low Lexical Overlap arXiv:2609.29559**Mullosharaf K. Arabov*2026*](https://md.research.elamur.ai/free/en/papers/arabov-2026-benchmarking-arabic-russian-machine-translation/)
208. **[Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models](https://md.research.elamur.ai/free/en/papers/aljaafari-2026-bridging-linguistic-structure-mechanistic-interpretability/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nura Aljaafari, Danilo Carvalho, Andre Freitas*2026*
209. **[CogBench: Benchmarking Cognitive Alignment of Large Language Models in Educational Question Answering](https://md.research.elamur.ai/free/en/papers/lu-2026-cogbench-benchmarking-cognitive-alignment-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Lu, Zhichun Wang, Yuanhao Sun, et al.*2026*
210. **[Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-commonsense-knowledge-negation-resource-enhance/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijie Wang, MohammadHossein Rezaei, Farzana Rashid, et al.*2026*
211. **[Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness Labels](https://md.research.elamur.ai/free/en/papers/tanaka-2026-constructing-dataset-hallucination-detection-japanese/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hikari Tanaka, Atsushi Keyaki, Mamoru Komachi*2026*
212. **[Context-Conditioned Masked LoRA: Dynamic Rank Routing for Compute-Efficient Parameter-Efficient Fine-Tuning](https://md.research.elamur.ai/free/en/papers/rafiuddin-2026-context-conditioned-masked-lora-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rifat Rafiuddin, Rafae Abdullah*2026*
213. **[DANGNT@SGU at SemEval-2026 Task 1: A Two-Stage Mistral Generator with DistilBERT Reranking for English Humor Generation](https://md.research.elamur.ai/free/en/papers/nguyen-2026-dangnt-sgu-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tan Loc Nguyen, Dang Tuan Nguyen*2026*
214. **[DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation](https://md.research.elamur.ai/free/en/papers/tyurin-2026-devlake-loresmt-2026-impact-pre/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Vyacheslav Tyurin*2026*
215. **[Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs](https://md.research.elamur.ai/free/en/papers/nina-2026-efficient-fine-tuning-methods-portuguese/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Mariela M. Nina, Caio Veloso Costa, Lilian Berton, et al.*2026*
216. **[Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?](https://md.research.elamur.ai/free/en/papers/rajput-2026-evaluation-drift-llm-personality-induction/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Prateek Kumar Rajput, Yewei Song, Iyiola Emmanuel Olatunji, et al.*2026*
217. [**Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya**Hailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-expanding-lexicon-ge-ez-based/)
218. **[GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026*
219. **[HCMUS RepeatedGames at SemEval-2026 Task 12: CausalRAG: Synergizing Causal Graph Retrieval and Extended LoRA for Abductive Reasoning](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-repeatedgames-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Duy Minh Dao Sy, Nguyen Tran, Trung Kiet Huynh, et al.*2026*
220. **[HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*
221. **[HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion](https://md.research.elamur.ai/free/en/papers/munawar-2026-hu-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Taha Munawar, Basil Khan, Arsal Jangda, et al.*2026*
222. **[I2C At MultiPRIDE: Transformers And Generative LLMs For Multilingual Reclamation Classification](https://md.research.elamur.ai/free/en/papers/ramos-2026-i2c-multipride-transformers-generative-llms/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Laura Vázquez-Ramos, Jacinto Mata-Vázquez, Victoria Pachón-Álvarez*2026*
223. **[ILSIC: Corpora for Identifying Indian Legal Statutes from Queries by Laymen](https://md.research.elamur.ai/free/en/papers/paul-2026-ilsic-corpora-identifying-indian-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shounak Paul, Raghav Dogra, Pawan Goyal, et al.*2026*
224. **[Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted Resources](https://md.research.elamur.ai/free/en/papers/ozer-2026-interlinear-glosses-as-multilingual-pivot/) [SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages](https://md.research.elamur.ai/free/en/venues/sigul/)**Volkan Ozer, Shu Okabe, Alexander Fraser*2026*
225. [**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/)
226. [**JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew**Itay Razumenko, Arnon Sturm, Nir Grinberg*2026*](https://md.research.elamur.ai/free/en/papers/razumenko-2026-judgemenot-personalizing-large-language-models/)
227. **[LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-lafact-attribution-based-localization-focused/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xin Wang, Jiahao Li, Licheng Zhang, et al.*2026*
228. **[Learning to Control Summaries with Score Ranking](https://md.research.elamur.ai/free/en/papers/liu-2026-learning-control-summaries-score-ranking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongye Liu, Liang Ding, Ricardo Henao*2026*
229. **[LegalSim-PT: Building a Dataset for Legal Document Simplification in Portuguese Leveraging Linguistic Metrics](https://md.research.elamur.ai/free/en/papers/scalercio-2026-legalsim-pt-building-dataset-legal/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Arthur Scalercio, Maria José Finatto, Aline Paes*2026*
230. **[Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/park-2026-memory-efficient-structured-backpropagation-device/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JuneYoung Park, Yuri Hong, Seongwan Kim, et al.*2026*
231. **[MeSHClass-ES and AnatEM-ES: Open Resources for Spanish Biomedical NLP](https://md.research.elamur.ai/free/en/papers/novoa-2026-meshclass-es-anatem-es-open/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Santiago Martinez Novoa, Lina Gomez Mesa, Juan Prieto, et al.*2026*
232. **[ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings](https://md.research.elamur.ai/free/en/papers/liu-2026-modularmoe-fast-llm-customization-parameter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaxing Liu, Qi Qi, Haifeng Sun, et al.*2026*
233. **[Multi-Hall-SA: A Cross-lingual Benchmark for Multi-Type Hallucination Detection in Low-Resource South African Languages](https://md.research.elamur.ai/free/en/papers/ralethe-2026-multi-hall-sa-cross-lingual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sello Ralethe, Jan Buys*2026*
234. **[Multilingual and Cross-Lingual Citation Needed Detection on Wikipedia for Lower-Resource Languages](https://md.research.elamur.ai/free/en/papers/quaremba-2026-multilingual-cross-lingual-citation-needed/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gerrit Quaremba, Amy Rechkemmer, Elizabeth Black, et al.*2026*
235. **[Multimodal Analysis of State-Funded News Coverage of the Israel–Hamas War on YouTube Shorts](https://md.research.elamur.ai/free/en/papers/miehling-2026-multimodal-analysis-state-funded-news/) [Workshop on Natural Language Processing for Political Sciences](https://md.research.elamur.ai/free/en/venues/politicalnlp/)**Daniel Miehling, Sandra Kübler*2026*
236. [**Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge arXiv:2609.31511**Yahya Mohamed Elnawasany*2026*](https://md.research.elamur.ai/free/en/papers/elnawasany-2026-muslim-deployed-arabic-voice-ai/)
237. [**Nürnberg NLP @ GermEval Shared Task 2026: Harmful Content Detection in German Social Media through Error-Independent LLM Voters arXiv:2608.22246**Philipp Steigerwald, Eric Rudolph, Jens Albrecht*2026*](https://md.research.elamur.ai/free/en/papers/steigerwald-2026-n-urnberg-nlp-germeval-shared/)
238. **[Optical Character Recognition for the International Phonetic Alphabet](https://md.research.elamur.ai/free/en/papers/okabe-2026-optical-character-recognition-international-phonetic/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Shu Okabe, Dejvi Zelo, Alexander Fraser*2026*
239. **[PE-QAT: Parameter-Efficient Quantization-Aware Training for Large Language Models](https://md.research.elamur.ai/free/en/papers/mishra-2026-pe-qat-parameter-efficient-quantization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shresth Mishra*2026*
240. **[PrePPER: A Preference Pattern-based Profiling Framework for Explainable Recommendation](https://md.research.elamur.ai/free/en/papers/usumi-2026-prepper-preference-pattern-based-profiling/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Taisuke Usumi, Akiko Masaki, Sanae Muramatsu, et al.*2026*
241. **[PSK@EEUCA 2026: Fine-tuning Large Language Models with Synthetic Data Augmentation for Multi-class Toxicity Detection in Gaming Chat](https://md.research.elamur.ai/free/en/papers/pulipaka-2026-psk-eeuca-2026-fine-tuning/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Srikar Kashyap Pulipaka*2026*
242. **[SLPGFJWUInsa at SemEval-2026 Task 1: Enhancing Linguistic Creativity for English Text-Based Humor](https://md.research.elamur.ai/free/en/papers/abbas-2026-slpgfjwuinsa-semeval-2026-task-1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Insa Abbas, Sadaf Abdul Rauf*2026*
243. **[Soft Orthogonal Low-Rank Adaptation for Knowledge Sharing in Large Language Model Continual Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-soft-orthogonal-low-rank-adaptation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yitong Wang, Xue Han, WenChun Gao, et al.*2026*
244. **[Specialization without Sparsity: Efficient and Expressive Split-Path Experts for LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/liu-2026-specialization-without-sparsity-efficient-expressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ganghao Liu, Qin Zhou, Zhe Wang, et al.*2026*
245. **[SPQ: An Ensemble Technique for Large Language Model Compression](https://md.research.elamur.ai/free/en/papers/yao-2026-spq-ensemble-technique-large-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jiamin Yao, Eren Gultepe*2026*
246. **[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*
247. **[SyntaxMind at SemEval-2026 Task 6: Exploring Transformers and LLMs for Unmasking Political Question Evasions](https://md.research.elamur.ai/free/en/papers/riad-2026-syntaxmind-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Md. Shihab Uddin Riad*2026*
248. **[Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Ma, Yitian Zhang, Yun Fu*2026*
249. **[Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/luo-2026-two-pathways-truthfulness-intrinsic-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wen Luo, Guangyue Peng, Wei Li, et al.*2026*
250. **[Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling](https://md.research.elamur.ai/free/en/papers/wang-2026-universally-empowering-zeroth-order-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fei Wang, Li Shen, Liang Ding, et al.*2026*
251. **[ViLegalLM: Language Models for Vietnamese Legal Text](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vilegallm-language-models-vietnamese-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Truong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen*2026*
252. **[“Decode the Law”: Towards Legal Text Simplification with Large Language Models](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*
253. [**An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究) Acta Automatica Sinica (自动化学报)**Zhengfei Xu (徐正斐), Xin Xin (辛欣)*2025*](https://md.research.elamur.ai/free/en/papers/xu-2025-empirical-study-chinese/)
254. **[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)](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*
255. **[Automated Speech Act Classification in Offensive German Language Tweets](https://md.research.elamur.ai/free/en/papers/plakidis-2025-automated-speech-act-classification-offensive/) [Traitement Automatique des Langues](https://md.research.elamur.ai/free/en/venues/tal/)**Melina Plakidis, Elena Leitner, Georg Rehm*2024*
256. [**Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises**Nicolò Donati, Matteo Periani, Paolo Di Natale, et al.*2024*](https://md.research.elamur.ai/free/en/papers/donati-2024-generation-evaluation-english-grammar-multiple/)
257. **[Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)](https://md.research.elamur.ai/free/en/papers/liu-2024-hallucinations-large-language/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.*2024*

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