---
title: "LREC 2026 — all accepted papers, page 3 — the most cited first"
description: "All 944 papers of LREC 2026 · page 3 of 10, the most cited first; those with our summary link to it."
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# LREC 2026: all accepted papers

944 papers · page 3 of 10 · the most cited first · [← LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/)

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201. **[Common Voice for Pakistan: Developing an Open Speech Corpus for Low-Resource Pakistani Languages ↗](https://aclanthology.org/2026.lrec-1.265/)**Meesum Alam, Francis Tyers
202. **[CommonMorph: Participatory Morphological Documentation Platform](https://md.research.elamur.ai/free/en/papers/mahmudi-2026-commonmorph-participatory-morphological-documentation-platform/)**Aso Mahmudi, Sina Ahmadi, Kemal Maulana Kurniawan et al.*our summary*
203. **[Comparing Approaches to Automatic Summarization in Less-Resourced Languages](https://md.research.elamur.ai/free/en/papers/michel-2026-comparing-approaches-automatic-summarization-less/)**Chester Palen-Michel, Constantine Lignos*our summary*
204. **[Comparing Reading Behavior across Reader Expertise and Text Complexity: Insights from the French Eye-Tracking Corpus (FETA) ↗](https://aclanthology.org/2026.lrec-1.486/)**Oksana Ivchenko, Natalia Grabar
205. **[Comparing Traditional and LLM-based Approaches for Automated Scoring of Dutch Writing Products ↗](https://aclanthology.org/2026.lrec-1.44/)**Joni Kruijsbergen, Orphee De Clercq
206. **[ConGA: Guidelines for Contextual Gender Annotation. a Framework for Annotating Gender in Machine Translation](https://md.research.elamur.ai/free/en/papers/rescigno-2026-conga-guidelines-contextual-gender-annotation/)**Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti*our summary*
207. **[ConceptKT: A Benchmark for Concept-Level Deficiency Prediction in Knowledge Tracing ↗](https://aclanthology.org/2026.lrec-1.22/)**Yu-Chen Kang, Yu-Chien Tang, An-Zi Yen
208. **[Conditioning LLMs to Generate Code-Switched Text ↗](https://aclanthology.org/2026.lrec-1.703/)**Maite Heredia, Gorka Labaka, Jeremy Barnes et al.
209. **[Confabulations from ACL Publications (CAP): A Dataset for Scientific Hallucination Detection ↗](https://aclanthology.org/2026.lrec-1.197/)**Federica Gamba, Aman Sinha, Timothee Mickus et al.
210. **[Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/)**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu et al.*our summary*
211. **[Constructing a Japanese Claim Decomposition Dataset for Fact-Checking of LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/masano-2026-constructing-japanese-claim-decomposition-dataset/)**Miwa Masano, Ribeka Keyaki, Atsushi Keyaki et al.*our summary*
212. **[Construction and Analysis of Japanese Parent-Child Dialogic Reading Corpus for Conversational Agents](https://md.research.elamur.ai/free/en/papers/nakagi-2026-construction-analysis-japanese-parent-child/)**Yuko Nakagi, Yuya Chiba, Sanae Fujita et al.*our summary*
213. **[Construction of Japanese Prefectural Assembly Minutes Datasets across Three Electoral Terms: Comparative Analysis of 2011, 2015, and 2019 Four-Year Periods](https://md.research.elamur.ai/free/en/papers/takamaru-2026-construction-japanese-prefectural-assembly-minutes/)**Keiichi Takamaru, Hokuto Ototake, Yuzu Uchida et al.*our summary*
214. **[Construction of a Japanese RAG Benchmark Using Synthetic Documents on Non-existent Entities and Events ↗](https://aclanthology.org/2026.lrec-1.589/)**Shengzhe Li, Masaya Ohagi, Hayato Tsukagoshi et al.
215. **[Context Is (Almost) Everything: Llama-3 on Structured Output and AMR Parsing ↗](https://aclanthology.org/2026.lrec-1.915/)**Maja Buljan, Stephan Oepen, Lilja Øvrelid
216. **[Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2026-context-8-data-set-evaluating/)**Dongyue Wang, Kyo Kageura*our summary*
217. **[Contextualizing Toxicity: An Annotation Framework for Unveiling Pragmatics in Conversations of Online Discussion Forums ↗](https://aclanthology.org/2026.lrec-1.314/)**Yingxue Fu, Anais Ollagnier
218. **[Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/)**Frank Mtumbuka, Steven Schockaert*our summary*
219. **[Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/)**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*our summary*
220. **[Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT](https://md.research.elamur.ai/free/en/papers/tayal-2026-conversational-assistants-support-patients-heart/)**Anuja Tayal, Devika Salunke, Barbara Di Eugenio et al.*our summary*
221. **[Conversational Implicatures through the Lens of LLMs ↗](https://aclanthology.org/2026.lrec-1.389/)**Agnese Lombardi, Alessandro Lenci
222. **[Conversion of the Clark Hall Dictionary of Old English to TEI with RDF: An End-to-end Pipeline for Lexicographic Resource Retrodigitization ↗](https://aclanthology.org/2026.lrec-1.561/)**Sergei Stoliarov, Maxim Ionov, Fahad Khan et al.
223. **[Coordinate Structure Extraction for Patent Claims Using Multilingual LLMs ↗](https://aclanthology.org/2026.lrec-1.387/)**Tsukasa Ishimaru, Takehito Utsuro, Masaaki Nagata
224. **[CorEGe-PT: Compiling a Large Corpus of Academic Texts in~Portuguese ↗](https://aclanthology.org/2026.lrec-1.118/)**Tanara Zingano Kuhn, José Matos, Bruno Neves et al.
225. **[CorSpell: Introducing a Semiautomatic Tool for Spelling Normalization in Brazilian Portuguese](https://md.research.elamur.ai/free/en/papers/schoffen-2026-corspell-introducing-semiautomatic-tool-spelling/)**Juliana Schoffen, Dennis Giovani Balreira, Elisa Marchioro Stumpf et al.*our summary*
226. **[Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced Resumes](https://md.research.elamur.ai/free/en/papers/loizidou-2026-corpus-baselines-distinguishing-authentic-ai/)**Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel et al.*our summary*
227. **[CorpusClues: Scalable Unsupervised Similarity Search for Historical Texts Using MinHash-LSH ↗](https://aclanthology.org/2026.lrec-1.63/)**Paulien Lemay, Klaas Bentein, Els Lefever
228. **[Corruption-Based Data Augmentation for Arabic Essay Scoring: A Preliminary Study on the Organization Trait](https://md.research.elamur.ai/free/en/papers/bashendy-2026-corruption-based-data-augmentation-arabic/)**May Saed Bashendy, Tamer Elsayed*our summary*
229. **[Counter-Hypothesis Generation: Towards Evaluating How LLMs Reason about Alternatives ↗](https://aclanthology.org/2026.lrec-1.424/)**Marzieh Abdolmaleki, Aaron Maladry, Veronique Hoste et al.
230. **[Counting on Consensus: Selecting the Right Inter-Annotator Agreement Metric for NLP Annotation and Evaluation ↗](https://aclanthology.org/2026.lrec-1.347/)**Joseph H. F. James
231. **[Creating Task-Specific Speech Recognition Datasets from Scratch for Low-Resource Languages: Assessing the Impact of Token Sequence Overlap ↗](https://aclanthology.org/2026.lrec-1.240/)**Adwoa Asantewaa Bremang, Dennis Asamoah Owusu, Victor Kow Quagraine et al.
232. **[Creating a High Quality Abstract Meaning Representation Dataset Automatically ↗](https://aclanthology.org/2026.lrec-1.932/)**Johannes Heinecke, Munshi Asadullah, Frédéric Herledan et al.
233. **[Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation](https://md.research.elamur.ai/free/en/papers/moore-2026-creating-hybrid-rule-neural-network/)**Andrew Moore, Paul Rayson, Dawn Archer et al.*our summary*
234. **[Creation of the Estonian Subjectivity Dataset: Assessing the Degree of Subjectivity on a Scale ↗](https://aclanthology.org/2026.lrec-1.650/)**Karl Gustav Gailit, Kadri Muischnek, Kairit Sirts
235. **[CrisisCL: A Domain Incremental Learning Benchmark for Crisis Management ↗](https://aclanthology.org/2026.lrec-1.850/)**Paul Le Van Kiem, Romain Meunier, Farah Benamara et al.
236. **[Critical Foreign Policy Decision (CFPD) Benchmark: Measuring Diplomatic Preferences of Large Language Models ↗](https://aclanthology.org/2026.lrec-1.849/)**Benjamin Jensen, Ian J. Reynolds, Yasir Atalan et al.
237. **[Cross-Corpus CEFR Classification through Artificial Learners Perplexities](https://md.research.elamur.ai/free/en/papers/stearns-2026-cross-corpus-cefr-classification-through/)**Bernardo Stearns, John P. McCrae, Thomas Gaillat*our summary*
238. **[Cross-Dataset Inconsistencies in Morphological Annotation: Evidence from Universal Dependencies ↗](https://aclanthology.org/2026.lrec-1.917/)**Vlasta Ohlídalová
239. **[Cross-Lingual Stability and Bias in Instruction-Tuned Language Models for Humanitarian NLP ↗](https://aclanthology.org/2026.lrec-1.346/)**Poli Nemkova, Amrit Adhikari, Matthew Pearson et al.
240. **[Cross-Lingual and Cross-Cultural Transfer of Talk Move Classification to German Science Classrooms](https://md.research.elamur.ai/free/en/papers/wartena-2026-cross-lingual-cross-cultural-transfer/)**Christian Wartena, Christian Schumburg, Andreas Nehring et al.*our summary*
241. **[Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation](https://md.research.elamur.ai/free/en/papers/xu-2026-cultural-knowledge-biases-llms-through/)**Lu Xu, Luca Moroni, Roberto Navigli*our summary*
242. **[Cygnet: Refactoring the Open Multilingual Wordnet ↗](https://aclanthology.org/2026.lrec-1.628/)**Rowan Hall Maudslay, Francis Bond
243. **[CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia ↗](https://aclanthology.org/2026.lrec-1.34/)**Josef Jon, Ondřej Bojar
244. **[DAMETA: An LLM Benchmark for Danish Metaphor Interpretation with Systematically Varied Distractors](https://md.research.elamur.ai/free/en/papers/schneidermann-2026-dameta-llm-benchmark-danish-metaphor/)**Nina Skovgaard Schneidermann, Sanni Nimb, Nathalie Carmen Hau Norman et al.*our summary*
245. **[DATASHI: A Parallel English–Tashlhiyt Corpus for Orthography Normalization and Low-Resource Language Processing.](https://md.research.elamur.ai/free/en/papers/monir-2026-datashi-parallel-english-tashlhiyt-corpus/)**Nasser-Eddine Monir, Zakaria Baou*our summary*
246. **[DEJIMA: A Novel Large-scale Japanese Dataset for Image Captioning and Visual Question Answering ↗](https://aclanthology.org/2026.lrec-1.744/)**Toshiki Katsube, Fukuhara Taiga, Kenichiro Ando et al.
247. **[DIDECO: An Annotated Dataset for Intent Detection in Digital Communications](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/)**Senaid Popovic, Damien Riquet, Maxime Meyer et al.*our summary*
248. **[DR-CUP: A Dataset on Real-time Commentary in U.S. Presidential Debates ↗](https://aclanthology.org/2026.lrec-1.772/)**Yu-Yu Chang, Huan-Wen Ho, Chung-Chi Chen et al.
249. **[DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/)**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba et al.*our summary*
250. **[DReUD: Discourse Relations in Universal Dependencies ↗](https://aclanthology.org/2026.lrec-1.528/)**Jiří Mírovský, Pavlína Synková
251. **[DaLA: Danish Linguistic Acceptability Evaluation Guided by Real World Errors ↗](https://aclanthology.org/2026.lrec-1.338/)**Gianluca Barmina, Nathalie Carmen Hau Norman, Peter Schneider-Kamp et al.
252. **[Data Selection Effects on Self-Supervised Learning of Audio Representations for French Audiovisual Broadcasts ↗](https://aclanthology.org/2026.lrec-1.802/)**Valentin Pelloin, Lina Bekkali, Reda Dehak et al.
253. **[Datasets for Verb Alternations across Languages: BLM Templates and Data Augmentation Strategies](https://md.research.elamur.ai/free/en/papers/samo-2026-datasets-verb-alternations-across-languages/)**Giuseppe Samo, Paola Merlo*our summary*
254. **[Decomposing Sign Language Movements: A Multi-Band Visualization Method for Articulatory Analysis](https://md.research.elamur.ai/free/en/papers/sevilla-2026-decomposing-sign-language-movements-multi/)**Antonio F. G. Sevilla, José María Lahoz-Bengoechea*our summary*
255. **[Deep Learning-Based Multi-Aspect Pronunciation Assessment for Individuals with Down Syndrome ↗](https://aclanthology.org/2026.lrec-1.667/)**David Fernández-García, César González-Ferreras, Valentín Cardeñoso-Payo et al.
256. **[DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised Distillation](https://md.research.elamur.ai/free/en/papers/rohr-2026-deepicd-r1-medical-reasoning-through/)**Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher et al.*our summary*
257. **[DeepQuestion: Systematic Generation of Real-World Challenges for Evaluating LLMs Performance ↗](https://aclanthology.org/2026.lrec-1.896/)**Ali Khoramfar, Ali Ramezani, Mohammad Mahdi Mohajeri et al.
258. **[Designing LLM Agents for User-Centered Language Service Selection](https://md.research.elamur.ai/free/en/papers/ogawa-2026-designing-llm-agents-user-centered/)**Ryoichiro Ogawa, Donghui Lin, Fumito Uwano*our summary*
259. **[Detecting Hallucinations in Authentic LLM–Human Interactions](https://md.research.elamur.ai/free/en/papers/ren-2026-detecting-hallucinations-authentic-llm-human/)**Yujie Ren, Niklas Gruhlke, Anne Lauscher*our summary*
260. **[Detecting Potentially Under-annotated Explicit Discourse Connectives in the Penn Discourse Treebank (PDTB-3) with LLMs ↗](https://aclanthology.org/2026.lrec-1.158/)**Yueh-Ting Chuang, Xixian Liao, Bonnie Webber
261. **[Detecting Risky Behavior Related to Alcohol and Drug Use within Adolescents' Private Messenger Conversations](https://md.research.elamur.ai/free/en/papers/plhak-2026-detecting-risky-behavior-related-alcohol/)**Jaromír Plhák, Michaela Lebedíková, Ondrej Sotolar et al.*our summary*
262. **[Developing Zila: A Spoken Language Resource for the Endangered Slovenian Gail Valley Dialect](https://md.research.elamur.ai/free/en/papers/zgank-2026-developing-zila-spoken-language-resource/)**Andrej Zgank, Gregor Donaj, Urh Kolaric et al.*our summary*
263. **[Developing a Guideline for the Labovian-Structural Analysis of Oral Narratives in Japanese](https://md.research.elamur.ai/free/en/papers/watahiki-2026-developing-guideline-labovian-structural-analysis/)**Amane Watahiki, Tomoki Doi, Akari Kikuchi et al.*our summary*
264. **[Developing the German Medical Text Corpus (GeMTeX): Legal Compliance and Semantic Enrichment ↗](https://aclanthology.org/2026.lrec-1.122/)**Justin Hofenbitzer, Christina Lohr, Andrea Riedel et al.
265. **[Development of Serbian QA Datasets through Prompt-Based Generation and Human Validation ↗](https://aclanthology.org/2026.lrec-1.267/)**Jovana Rađenović, Olivera Kitanović, Ranka Stankovic et al.
266. **[Diacritic Restoration for Low-Resource Indigenous Languages: Case Study with Bribri and Cook Islands Māori](https://md.research.elamur.ai/free/en/papers/solano-2026-diacritic-restoration-low-resource-indigenous/)**Rolando Coto-Solano, Daisy Li, Manoela Teleginski Ferraz et al.*our summary*
267. **[Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite](https://md.research.elamur.ai/free/en/papers/thellmann-2026-diagnosing-translated-benchmarks-automated-quality/)**Klaudia Thellmann, Bernhard Stadler, Michael Färber*our summary*
268. **[Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual Data](https://md.research.elamur.ai/free/en/papers/schuler-2026-dialectal-filtering-synthesizing-kurdish-corpora/)**Christian Schuler, Raman Ahmad, Ānrán Wáng et al.*our summary*
269. **[DialectalArabicMMLU: Benchmarking Dialectal Capabilities in Arabic and Multilingual Language Models](https://md.research.elamur.ai/free/en/papers/altakrori-2026-dialectalarabicmmlu-benchmarking-dialectal-capabilities-arabic/)**Malik H. Altakrori, Nizar Habash, Teresa Lynn et al.*our summary*
270. **[Disambiguation of Emotion Annotations by Contextualizing Events in Plausible Narratives ↗](https://aclanthology.org/2026.lrec-1.757/)**Johannes Schaefer, Roman Klinger
271. **[DiscoRAG: A Discourse-Aware Agent for Query-Based Summarization of Long Documents ↗](https://aclanthology.org/2026.lrec-1.162/)**Alexander Chernyavskiy, Lidiia Ostyakova, Dmitry Ilvovsky
272. **[Disentangling Approaches to Conversation Disentanglement: Fine-Tune or Learn from Scratch? ↗](https://aclanthology.org/2026.lrec-1.229/)**Debaditya Pal, Anton Leuski, Ron Artstein et al.
273. **[Distributed Partial Information Puzzles: Examining Common Ground Construction under Epistemic Asymmetry ↗](https://aclanthology.org/2026.lrec-1.391/)**Yifan Zhu, Mariah Bradford, Kenneth Lai et al.
274. **[Distribution-aware Low-bitwidth Quantization for Large Language Models ↗](https://aclanthology.org/2026.lrec-1.789/)**Bao Tan Duy Huynh, Takashi Tsunakawa, Masafumi Nishida
275. **[Do LLMs Judge Distantly Supervised Named Entity Labels Well? Constructing the JudgeWEL Dataset](https://md.research.elamur.ai/free/en/papers/plum-2026-do-llms-judge-distantly-supervised/)**Alistair Plum, Laura Maria Bernardy, Tharindu Ranasinghe*our summary*
276. **[Do Language Models Encode Semantic Relations? Probing and Sparse Feature Analysis ↗](https://aclanthology.org/2026.lrec-1.166/)**Andor Diera, Ansgar Scherp
277. **[Do Language Models Know Theo Has a Wife? Investigating the Proviso Problem ↗](https://aclanthology.org/2026.lrec-1.155/)**Tara Azin, Daniel Dumitrescu, Diana Inkpen et al.
278. **[Do Large Language Models Grasp the Grammar? Evidence from Grammar-Book-Guided Probing in Luxembourgish ↗](https://aclanthology.org/2026.lrec-1.904/)**Lujun LI, Yewei Song, Lama Sleem et al.
279. **[Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang et al.*our summary*
280. **[Document-Level Text Simplification in Estonian Using Large Language Models](https://md.research.elamur.ai/free/en/papers/muru-2026-document-level-text-simplification-estonian/)**Meeri-Ly Muru, Eduard Barbu*our summary*
281. **[Dynamic Layer Selection for Efficient Tone Recognition in Self-Supervised Speech Models](https://md.research.elamur.ai/free/en/papers/obiang-2026-dynamic-layer-selection-efficient-tone/)**Saint Germes B. BENGONO OBIANG, Norbert TSOPZE, Paulin MELATAGIA YONTA*our summary*
282. **[Dynamic Model Switching to Mitigate Outdated Knowledge in Large Language Models](https://md.research.elamur.ai/free/en/papers/pinninti-2026-dynamic-model-switching-mitigate-outdated/)**Ramakrishna Pinninti, Sabyasachi Kamila, Ayan Mazumder et al.*our summary*
283. **[Dynamically Acquiring Text Content to Enable the Classification of Lesser-known Entities for Real-world Tasks ↗](https://aclanthology.org/2026.lrec-1.847/)**Fahmida Alam, Ellen Riloff
284. **[Dynaword: From One-shot to Continuously Developed Datasets ↗](https://aclanthology.org/2026.lrec-1.301/)**Kenneth Enevoldsen, Kristian Nørgaard Jensen, Jan Kostkan et al.
285. **[EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates](https://md.research.elamur.ai/free/en/papers/moncla-2026-edda-coordinata-annotated-dataset-historical/)**Ludovic Moncla, Pierre Nugues, Thierry Joliveau et al.*our summary*
286. **[EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs](https://md.research.elamur.ai/free/en/papers/satvaty-2026-el-mia-quantifying-membership-inference/)**Ali Satvaty, Suzan Verberne, Fatih Turkmen*our summary*
287. **[ENEIDE: A High Quality Silver Standard Dataset for Named Entity Recognition and Linking in Historical Italian](https://md.research.elamur.ai/free/en/papers/santini-2026-eneide-high-quality-silver-standard/)**Cristian Santini, Sebastian Barzaghi, Paolo Sernani et al.*our summary*
288. **[EPIC-EuroParl-UdS: Information-Theoretic Perspectives on Translation and Interpreting ↗](https://aclanthology.org/2026.lrec-1.557/)**Maria Kunilovskaya, Christina Pollkläsener
289. **[EPOP: A Benchmark Corpus for Assessing NLP Models on Structured Information Extraction in Plant Health](https://md.research.elamur.ai/free/en/papers/nedellec-2026-epop-benchmark-corpus-assessing-nlp/)**Claire Nedellec, Marine Courtin, Xinzhi Yao et al.*our summary*
290. **[ESG-QA: Building a Dataset for Question Answering on Environmental, Social, and Governance Pillars ↗](https://aclanthology.org/2026.lrec-1.420/)**Gabriel Assis, Ayrton Surica, Pedro Kroll et al.
291. **[Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/)**Felix Wernlein, Abhik Jana, Sandipan Sikdar*our summary*
292. **[Echoes of the Troubadours: A Corpus of Troubadour Poetry for Stylometric Analysis and Authorship Attribution ↗](https://aclanthology.org/2026.lrec-1.69/)**Loic De Langhe, Orphee De Clercq, Veronique Hoste
293. **[EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering](https://md.research.elamur.ai/free/en/papers/paiola-2026-edubench-portuguese-benchmark-open-ended/)**Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato et al.*our summary*
294. **[Efficient Adaptation of English Language Models for Morphologically Rich and Underrepresented Languages: The Case of Arabic ↗](https://aclanthology.org/2026.lrec-1.822/)**Ahmed Samy Eldamaty, Mohamed Maher Zenhom Abdelrahman, Mohamed Mostafa Ibrahim Elbehery et al.
295. **[Efficient Dialect-Aware Modeling and Conditioning for Low-Resource Taiwanese Hakka Speech Processing ↗](https://aclanthology.org/2026.lrec-1.491/)**Peng An-Ci, Kuan-Tang Huang, Tien-Hong Lo et al.
296. **[Efficient Financial Language Understanding via Distillation with Synthetic Data ↗](https://aclanthology.org/2026.lrec-1.804/)**Wen-Fong (Xavier) Huang, Edwin Simpson
297. **[Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models](https://md.research.elamur.ai/free/en/papers/mekaoui-2026-efficient-topic-extraction-graph-based/)**Salma Mekaoui, Hiba Sofyan, Imane Benchrif et al.*our summary*
298. **[Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language](https://md.research.elamur.ai/free/en/papers/tanaka-2026-emotion-transcription-conversation-benchmark-capturing/)**Yoshiki Tanaka, Ryuichi Uehara, Koji Inoue et al.*our summary*
299. **[Empathy Speaks in Metaphors: The Empathy-Metaphor Corpus of Figurative Language in Empathetic Text ↗](https://aclanthology.org/2026.lrec-1.873/)**Gyeongeun Lee, Natalie Parde
300. **[Empathy in Greek Exam-Related Support Conversations: A Comparative Evaluation of LLM Responses ↗](https://aclanthology.org/2026.lrec-1.210/)**Panagiota Kyriazi, Prokopis Prokopidis

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