---
title: "Who cites Kilian Q. Weinberger — page 3"
description: "4,122 papers of the Elamur Research library cite the works of Kilian Q."
canonical: "https://research.elamur.ai/free/en/authors/kilian-q-weinberger/cited-by/page/3/"
---
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# Who cites Kilian Q. Weinberger

4,126 citations of their works from 4,122 papers of our library (of the 140,884 whose bibliographies we read) · 284 with a page here, the most cited first · page 3 of 3 · 201–284 · [← Kilian Q. Weinberger](https://md.research.elamur.ai/free/en/authors/kilian-q-weinberger/)

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

201. [**Cyber Risks of Machine Translation Critical Errors : Arabic Mental Health Tweets as a Case Study**Hadeel Saadany, Ashraf Tantawy, Constantin Orasan*2024 · 3 citations*](https://md.research.elamur.ai/free/en/papers/saadany-2024-cyber-risks-machine-translation-critical/)
202. [**Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts**Emad A. Alghamdi, Jezia Zakraoui, Fares A. Abanmy*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alghamdi-2023-domain-adaptation-arabic-machine-translation/)
203. [**Ara-HOPE: Human-Centric Post-Editing Evaluation for Dialectal Arabic to Modern Standard Arabic Translation**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alabdullah-2026-ara-hope-human-centric-post/)
204. [**Benchmarking Large Language Models for Chinese and Japanese IMEs: Phonetic-to-Character Generation and Textual Error Correction**Yuchun Zou, Tedd Lee, Xiaodi Fan, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/zou-2026-benchmarking-large-language-models-chinese/)
205. [**Bridging Scientific Heritage: An Arabic — Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer**Mullosharaf K. Arabov*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/arabov-2026-bridging-scientific-heritage-arabic-russian/)
206. [**Arabizi vs LLMs: Can the Genie Understand the Language of Aladdin?**Perla Al Almaoui, Pierrette Bouillon, Simon Hengchen*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almaoui-2025-arabizi-vs-llms-can-genie/)
207. [**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/)
208. [**How Well Do LLMs Understand Tunisian Arabic?**Mohamed Mahdi*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/mahdi-2025-well-llms-understand-tunisian-arabic/)
209. [**Benchmarking Commercial ASR Systems on Code-Switching Speech: Arabic, Persian, and German**Sajjad Abdoli, Ghassan Al-Sumaidaee, Clayton W. Taylor, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/abdoli-2026-benchmarking-commercial-asr-systems-code/)
210. [**Benchmarking Multilingual LLM Translation Accuracy for Fuzhounese**Sue Zheng, Jelke Bloem*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zheng-2026-benchmarking-multilingual-llm-translation-accuracy/)
211. [**Biases in Translation: Assessing Opinion Distortion in Machine Translated Texts**Nazanin Shafiabadi, François Yvon*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shafiabadi-2026-biases-translation-assessing-opinion-distortion/)
212. [**CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation**Yiran Rex Ma, Yuxiao Ye, Huiyuan Xie*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ma-2026-clase-hybrid-method-chinese-legalese/)
213. [**Explainable Semantic Textual Similarity via Dissimilar Span Detection**Diego Miguel Lozano, Daryna Dementieva, Alexander Fraser*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lozano-2026-explainable-semantic-textual-similarity-dissimilar/)
214. [**Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models**Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/oi-2026-multi-modal-multi-task-multi/)
215. [**Optimizing Multilingual LLMs via Federated Learning: A Study of Client Language Composition**Aleix Sant, Jordi Luque, Carlos Escolano*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sant-2026-optimizing-multilingual-llms-federated-learning/)
216. [**PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation**Lorenzo Proietti, Roman Grundkiewicz, Matt Post*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/proietti-2026-pear-pairwise-evaluation-automatic-relative/)
217. [**Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian Languages**Amir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yari-2026-revisiting-metric-reliability-fine-grained/)
218. [**SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM Agents**Mike Zhang, Amalie Pernille Dilling, Léon Gondelman, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zhang-2026-sefl-framework-generating-synthetic-educational/)
219. [**TempPerturb-Eval: On the Joint Effects of Internal Temperature and External Perturbations in RAG Robustness**Yongxin Zhou, Philippe Mulhem, Didier Schwab*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zhou-2026-tempperturb-eval-joint-effects-internal/)
220. [**Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation**Duy Le, Kent Ziti, Evan Girard-Sun, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/le-2025-adaptive-originality-filtering-rejection-based/)
221. [**Generating Text from Uniform Meaning Representation**Emma Markle, Reihaneh Iranmanesh, Shira Wein*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/markle-2025-generating-text-uniform-meaning-representation/)
222. [**Towards Safer Hebrew Communication: A Dataset for Offensive Language Detoxification**Natalia Vanetik, Lior Liberov, Marina Litvak, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vanetik-2025-safer-hebrew-communication-dataset-offensive/)
223. [**Simplify: Automatic Arabic Sentence Simplification using Word Embeddings**Yousef SalahEldin, Caroline Sabty*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/salaheldin-2023-simplify-automatic-arabic-sentence-simplification/)
224. [**A Fine-Grained Linguistic Evaluation of Low-Resource Luxembourgish–English MT**Nils Rehlinger*2026*](https://md.research.elamur.ai/free/en/papers/rehlinger-2026-fine-grained-linguistic-evaluation-low/)
225. [**Align and Shine: Building High-quality Sentence-aligned Corpora for Multilingual Text Simplification**Luis Kenji Hilasaca Sanchez, Nouran Khallaf, Serge Sharoff*2026*](https://md.research.elamur.ai/free/en/papers/sanchez-2026-align-shine-building-high-quality/)
226. [**Ancient Greek to Modern Greek Machine Translation: A Novel Benchmark and Fine-Tuning Experiments on LLMs and NMT Models**Spyridon Mavromatis, Sokratis Sofianopoulos, Prokopis Prokopidis, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mavromatis-2026-ancient-greek-modern-greek-machine/)
227. [**Assessing Small Language Models as Text Simplification Evaluators**David Carranza Navarrete, Jan Bakker, Jaap Kamps*2026*](https://md.research.elamur.ai/free/en/papers/navarrete-2026-assessing-small-language-models-as/)
228. [**AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from Scratch**Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya*2026*](https://md.research.elamur.ai/free/en/papers/niyogi-2026-ayn-tiny-yet-competitive-indian/)
229. [**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/)
230. [**Benchmarking Arabic Authorship Attribution and Style Transfer with Large Language Models**Injy Hamed, Bashar Alhafni, Nizar Habash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hamed-2026-benchmarking-arabic-authorship-attribution-style/)
231. [**Comparing Approaches to Automatic Summarization in Less-Resourced Languages**Chester Palen-Michel, Constantine Lignos*2026*](https://md.research.elamur.ai/free/en/papers/michel-2026-comparing-approaches-automatic-summarization-less/)
232. [**Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*2026*](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/)
233. [**Creation and Validation of a Monolingual Spanish NLI Dataset for Metaphor Interpretation via Model-in-the-Loop**Alec Sanchez-Montero, Gemma Bel-Enguix, Sergio Luis Ojeda Trueba*2026*](https://md.research.elamur.ai/free/en/papers/montero-2026-creation-validation-monolingual-spanish-nli/)
234. [**Document-Level Text Simplification in Estonian Using Large Language Models**Meeri-Ly Muru, Eduard Barbu*2026*](https://md.research.elamur.ai/free/en/papers/muru-2026-document-level-text-simplification-estonian/)
235. [**EDRAC: Benchmarking Arabic Dialect Reading Comprehension**Noor Abo Mokh, Kirill Chirkunov, Teresa Lynn, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mokh-2026-edrac-benchmarking-arabic-dialect-reading/)
236. [**EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering**Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paiola-2026-edubench-portuguese-benchmark-open-ended/)
237. [**Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models**Salma Mekaoui, Hiba Sofyan, Imane Benchrif, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mekaoui-2026-efficient-topic-extraction-graph-based/)
238. [**Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language**Yoshiki Tanaka, Ryuichi Uehara, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tanaka-2026-emotion-transcription-conversation-benchmark-capturing/)
239. [**EpiGator: An Event-based Surveillance System for Infectious Disease Outbreaks**Yiheng Wu, Jue Hou, Trangcasanchai Sathianpong, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-epigator-event-based-surveillance-system/)
240. [**Evaluating Frontier LLM Translation Capability for Lakota**Lance Robertson*2026*](https://md.research.elamur.ai/free/en/papers/robertson-2026-evaluating-frontier-llm-translation-capability/)
241. [**Evaluating Small Language Models for English-to-Portuguese Translation: Impact of Model Scale and Quantization**Gustavo Lopes Tamiosso, Rafael Oleques Nunes, Dennis Giovani Balreira*2026*](https://md.research.elamur.ai/free/en/papers/tamiosso-2026-evaluating-small-language-models-english/)
242. [**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/)
243. [**Explainable AI for Ethical Counter Speech Generation in Hate Speech Mitigation**Ashiful Islam Ridoy, Mohammed Faisal, Yogesh Kumar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ridoy-2026-explainable-ai-ethical-counter-speech/)
244. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/)
245. [**From Bones to Rocks: A Systematic Evaluation of Specialized Definition Generation for Portuguese**Rafael Oleques Nunes, Dennis Giovani Balreira, Joel Luís Carbonera*2026*](https://md.research.elamur.ai/free/en/papers/nunes-2026-bones-rocks-systematic-evaluation-specialized/)
246. [**From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs**Kamyar Zeinalipour, Silvia Severini, Alessia Borghini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeinalipour-2026-graph-text-back-semantic-fidelity/)
247. [**Generation of Dialogue Breakdown Repair Utterance in Non-task Oriented Conversation**Kazuya Tsubokura, Yurie Iribe, Norihide Kitaoka*2026*](https://md.research.elamur.ai/free/en/papers/tsubokura-2026-generation-dialogue-breakdown-repair-utterance/)
248. [**Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMs**Kei Moriyama, Takashi Kodama, Kouta Nakayama*2026*](https://md.research.elamur.ai/free/en/papers/moriyama-2026-generation-instruction-preference-dataset-improving/)
249. [**I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System**Zi Haur Pang, Yahui Fu, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pang-2026-i-understand-how-you-feel/)
250. [**Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QA**Renhao Pei, Siyao Peng, Verena Blaschke, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pei-2026-information-asymmetry-across-language-varieties/)
251. [**Integrating TEI, NER/NEL, Textometry, and Linked Data for a Semantically Enriched Interview Corpus**Ranka Stankovic, Tamara Vučenović, Biljana Rujević, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stankovic-2026-integrating-tei-ner-nel-textometry/)
252. [**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/)
253. [**KinyCOMET: Automatic Evaluation of Machine Translation Systems for Kinyarwanda–English**Prince Chris Mazimpaka, Jan Nehring, Samuel Rutunda, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mazimpaka-2026-kinycomet-automatic-evaluation-machine-translation/)
254. [**Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages**Noam Dahan, Omer Kidron, Gabriel Stanovsky*2026*](https://md.research.elamur.ai/free/en/papers/dahan-2026-leveraging-digitized-newspapers-collect-summarization/)
255. [**Listening for Ideology: Automatic Analysis of Character Speech in Historical Nazi Propaganda Films**Nicolas Ruth, Manuel Burghardt, Andreas Niekler*2026*](https://md.research.elamur.ai/free/en/papers/ruth-2026-listening-ideology-automatic-analysis-character/)
256. [**Lost in Translation: Repurposing semantic similarity benchmarks for evaluating lexical-semantic consistency in LLM-based machine translation**Quin Ye, Jelke Bloem*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-lost-translation-repurposing-semantic-similarity/)
257. [**Machine translation Evaluation Eng-Thai MQM Ranking dataset**Phichet Phuangrot, Natdanai Trintawat, Kanawat Vilasri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/phuangrot-2026-machine-translation-evaluation-eng-thai/)
258. [**Meaning Over Morphology: A Multi-Metric Benchmark of LLMs for Bangla Dialect Translation**Soumik Deb Niloy, Subhey Sadi Rahman, Mahbub E Sobhani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/niloy-2026-meaning-over-morphology-multi-metric/)
259. [**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/)
260. [**MUC-4 Revisited: Document-level Event Analysis beyond Span-based Arguments**Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid*2026*](https://md.research.elamur.ai/free/en/papers/olsen-2026-muc-4-revisited-document-level/)
261. [**Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/)
262. [**Multi-dimensional Evaluation of Character-Authentic Dialogue Models Learned from Question-Answer Data**Atsushi Otsuka, Kazuya Matsuo, Kenta Hama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/otsuka-2026-multi-dimensional-evaluation-character-authentic/)
263. [**Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs**Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury*2026*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/)
264. [**OasisSimp: An Open-source Asian-English Sentence Simplification Dataset**Hannah Liu, Murphy Tian, Iqra Ali, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liu-2026-oasissimp-open-source-asian-english/)
265. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
266. [**Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMs**Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya*2026*](https://md.research.elamur.ai/free/en/papers/maekawa-2026-parallel-corpus-filtering-based-semantic/)
267. [**Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/)
268. [**Proficiency-Controlled Text Simplification in European Portuguese: A Preliminary Study using Prompting Approaches**Eugénio Ribeiro, David Antunes, Nuno Mamede, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ribeiro-2026-proficiency-controlled-text-simplification-european/)
269. [**Quality and Comprehensibility of Interlingual Subtitles Produced by Humans or with Machines**Lara Shoana Schlüter, Ekaterina Lapshinova-Koltunski, Sylvia Jaki*2026*](https://md.research.elamur.ai/free/en/papers/schluter-2026-quality-comprehensibility-interlingual-subtitles-produced/)
270. [**S-VoCAL: A Dataset and Evaluation Framework for Inferring Speaking Voice Character Attributes in Literature**Abigail Berthe-Pardo, Gaspard Michel, Elena V. Epure, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pardo-2026-s-vocal-dataset-evaluation-framework/)
271. [**Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text Simplification**Peng Zhou, Guangxin Li, Xiaoying Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-simplify-pro-two-level-progressive/)
272. [**STAR-IL: A Dataset for Style-Aware Machine Translation of Product Reviews in Indian Languages**Ketaki Shetye, Dipti Misra Sharma, Parameswari Krishnamurthy*2026*](https://md.research.elamur.ai/free/en/papers/shetye-2026-star-il-dataset-style-aware/)
273. [**Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej**Shubham Kumar Nigam, Deepak Patnaik Balaramamahanthi, Noel Shallum, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nigam-2026-structured-legal-document-generation-india/)
274. [**Teaching LLMs to unveil tendentious implicit contents of Italian political communication**Walter Paci, Lorenzo Gregori, Alessandro Panunzi*2026*](https://md.research.elamur.ai/free/en/papers/paci-2026-teaching-llms-unveil-tendentious-implicit/)
275. [**Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/)
276. [**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/)
277. [**Topic-context Dependency on Continuous Semantic Reconstruction of Language from fMRI Signals**Fermin Travi, Agustin Delmagro, Diego Fernandez Slezak, et al.*2026*](https://md.research.elamur.ai/free/en/papers/travi-2026-topic-context-dependency-continuous-semantic/)
278. [**TryggLLM: A Benchmark for Evaluating LLM Safety in Norwegian**Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen*2026*](https://md.research.elamur.ai/free/en/papers/touileb-2026-tryggllm-benchmark-evaluating-llm-safety/)
279. [**Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes**Quintin Myers, Yanjun Gao*2026*](https://md.research.elamur.ai/free/en/papers/myers-2026-uncovering-hidden-violent-tendencies-llms/)
280. [**“Decode the Law”: Towards Legal Text Simplification with Large Language Models**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/)
281. [**Niyamika at BHASHA Task 1: Word-Level Transliteration for English-Hindi Mixed Text in Grammar Correction Using MT5**Rucha Ambaliya, Mahika Dugar, Pruthwik Mishra*2025*](https://md.research.elamur.ai/free/en/papers/ambaliya-2025-niyamika-bhasha-task-1-word/)
282. [**Advancing Complex Medical Communication in Arabic with Sporo AraSum: Surpassing Existing Large Language Models**Chanseo Lee, Sonu Kumar, Kimon A. Vogt, et al.*2024*](https://md.research.elamur.ai/free/en/papers/lee-2024-advancing-complex-medical-communication-arabic/)
283. [**Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)**Qiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2024*](https://md.research.elamur.ai/free/en/papers/huang-2024-method-expanding-event/)
284. [**Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)**Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.*2024*](https://md.research.elamur.ai/free/en/papers/liu-2024-hallucinations-large-language/)

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