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title: "European Language Resources Association (ELRA) — works, page"
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# Works of European Language Resources Association (ELRA)

911 works · page 7 of 10 · the most cited first · [← European Language Resources Association (ELRA)](https://md.research.elamur.ai/free/en/publishers/european-language-resources-association-elra/)

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601. [**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/)
602. [**UniSkill: A Dataset for Matching University Curricula to Professional Competencies**Nurlan Musazade, József Mezei, Mike Zhang*2026*](https://md.research.elamur.ai/free/en/papers/musazade-2026-uniskill-dataset-matching-university-curricula/)
603. [**ACID: On the Perception of Online Classism**Arianna Muti, Elisa Bassignana, Amanda Cercas Curry, et al.*2026*](https://md.research.elamur.ai/free/en/papers/muti-2026-acid-perception-online-classism/)
604. [**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/)
605. [**Probing Discrete Speech Tokens of Spoken Language Models**Sven Naber, Julia Koch, Pranav Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naber-2026-probing-discrete-speech-tokens-spoken/)
606. [**What Kind of Language is Easy to Language-Model Under Curriculum Learning?**Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe*2026*](https://md.research.elamur.ai/free/en/papers/naggar-2026-what-kind-language-is-easy/)
607. [**Evaluating the Retrieval Component in a Retrieval-Augmented Summarization System for Patient Records in French**Marco Naguib, Christel Gérardin, Victor Beaucoté, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naguib-2026-evaluating-retrieval-component-retrieval-augmented/)
608. [**Construction and Analysis of Japanese Parent-Child Dialogic Reading Corpus for Conversational Agents**Yuko Nakagi, Yuya Chiba, Sanae Fujita, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakagi-2026-construction-analysis-japanese-parent-child/)
609. [**Nepal Script Text Recognition from Ancient Artifacts: Challenges and Opportunities**Swornim Nakarmi, Sarin Sthapit, Sahil Ratna Tuladhar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakarmi-2026-nepal-script-text-recognition-ancient/)
610. [**Sentiment Analysis and Language Models for Kwanyama**Ndapa Nakashole*2026*](https://md.research.elamur.ai/free/en/papers/nakashole-2026-sentiment-analysis-language-models-kwanyama/)
611. [**A Large-Scale Dataset for Linking-Based Geocoding**Hibiki Nakatani, Yuichiro Yasui, Ryosuke Wakamoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakatani-2026-large-scale-dataset-linking-based/)
612. [**Fine-tuning Whisper with Spontaneous Persian Speech (SPS)**Behnoosh Namdarzadeh, Nicolas Ballier*2026*](https://md.research.elamur.ai/free/en/papers/namdarzadeh-2026-fine-tuning-whisper-spontaneous-persian/)
613. [**Few-shot Prompting or Supervised Tuning? A Comparative Study of LLMs for Linguistically Distant Language Pairs in BDI**Deepen Naorem, Sanasam Ranbir Singh, Telem Joyson Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naorem-2026-few-shot-prompting-or-supervised/)
614. [**RBR: RAG-Based Open-Domain Question Answering Using a Ranking Approach to Document Retrieval**Priyatam Sai Naravajhula, Vincent Ng*2026*](https://md.research.elamur.ai/free/en/papers/naravajhula-2026-rbr-rag-based-open-domain/)
615. [**Named Entity Recognition for Persian Literary Text: A Case Study on The Little Prince**Minoo Nassajian, Joakim Nivre, Daniel Zeman*2026*](https://md.research.elamur.ai/free/en/papers/nassajian-2026-named-entity-recognition-persian-literary/)
616. [**Masrad: Arabic Terminology Management Corpora with Semi-Automatic Construction**Mahdi Nasser, Laura Sayah, Fadi Zaraket*2026*](https://md.research.elamur.ai/free/en/papers/nasser-2026-masrad-arabic-terminology-management-corpora/)
617. [**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/)
618. [**Multimodal Reference by Means of the Pronoun We and Hand Gestures in a Novel Corpus of Parliamentary Opening Debates**Costanza Navarretta*2026*](https://md.research.elamur.ai/free/en/papers/navarretta-2026-multimodal-reference-means-pronoun-we/)
619. [**ForumOccitania: A Corpus of User-Generated Content for Multiple Occitan Varieties**Oriane Nédey, Juliette Janès, Rachel Bawden, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nedey-2026-forumoccitania-corpus-user-generated-content/)
620. [**Human vs LLM in Conversational Repair Annotation: A New Resource and Comparative Study**Anh Ngo, Nicolas Rollet, Catherine Pelachaud, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ngo-2026-human-vs-llm-conversational-repair/)
621. [**mSCoRe: A Multilingual and Scalable Benchmark for Skill-based Commonsense Reasoning**Nghia Trung Ngo, Franck Dernoncourt, Thien Huu Nguyen*2026*](https://md.research.elamur.ai/free/en/papers/ngo-2026-mscore-multilingual-scalable-benchmark-skill/)
622. [**AccurateRAG: A Framework for Building Accurate Retrieval-Augmented Question-Answering Applications**Linh The Nguyen, Chi Tran, Dung Ngoc Nguyen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-accuraterag-framework-building-accurate-retrieval/)
623. [**Questionnaire Meets LLM: A Benchmark and Empirical Study of Structural Skills for Understanding Questions and Responses**Duc-Hai Nguyen, Vijayakumar Nanjappan, Barry O'Sullivan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-questionnaire-meets-llm-benchmark-empirical/)
624. [**Reference-free Evaluation at Inference for NER/NEL over OCRed Historical Texts**Tien-Nam Nguyen, Adam Jatowt, Ahmed Hamdi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-reference-free-evaluation-inference-ner/)
625. [**ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark**Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vimedcss-vietnamese-medical-code-switching/)
626. [**ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models**Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/)
627. [**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/)
628. [**InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization**Kosuke Nishida, Kyosuke Nishida, Itsumi Saito*2026*](https://md.research.elamur.ai/free/en/papers/nishida-2026-instructsum-benchmark-evaluate-instruction-following/)
629. [**JPPB: Automatic Construction of a Soft-Labeled Japanese Patient Phrase Bank for Symptom Normalization**Tomohiro Nishiyama, Mana Kuramoto, Shoko Wakamiya, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nishiyama-2026-jppb-automatic-construction-soft-labeled/)
630. [**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/)
631. [**Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification**Jens Van Nooten, Andriy Kosar*2026*](https://md.research.elamur.ai/free/en/papers/nooten-2026-push-pull-training-sentence-encoders/)
632. [**Automatic Extraction of Textual and Phonemic Complexity for French Cued Speech**Magali Norré, Brigitte Bigi, Núria Gala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/norre-2026-automatic-extraction-textual-phonemic-complexity/)
633. [**A Novel Synthetic Dataset for Few-Shot Legal Relation Extraction in German**Shiva Banasaz Nouri, Elena Leitner, Julian Moreno-Schneider, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nouri-2026-novel-synthetic-dataset-few-shot/)
634. [**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/)
635. [**Investigating How LLMs Propagate Female Stereotypes: Comparing What Models Say via Prompts with What They Represent in Their Embeddings**Andrea Valderrey Nuñez, Jelke Bloem*2026*](https://md.research.elamur.ai/free/en/papers/nunez-2026-investigating-how-llms-propagate-female/)
636. [**Sentiment Analysis of German Sign Language Fairy Tales**Fabrizio Nunnari, Siddhant Jain, Patrick Gebhard*2026*](https://md.research.elamur.ai/free/en/papers/nunnari-2026-sentiment-analysis-german-sign-language/)
637. [**Dynamic Layer Selection for Efficient Tone Recognition in Self-Supervised Speech Models**Saint Germes B. BENGONO OBIANG, Norbert TSOPZE, Paulin MELATAGIA YONTA*2026*](https://md.research.elamur.ai/free/en/papers/obiang-2026-dynamic-layer-selection-efficient-tone/)
638. [**Designing LLM Agents for User-Centered Language Service Selection**Ryoichiro Ogawa, Donghui Lin, Fumito Uwano*2026*](https://md.research.elamur.ai/free/en/papers/ogawa-2026-designing-llm-agents-user-centered/)
639. [**Towards Corpus-Based Population and Visualization of ISO 24617-8 Ontology (Short Paper)**Maciej Ogrodniczuk, Dariusz Czerski*2026*](https://md.research.elamur.ai/free/en/papers/ogrodniczuk-2026-corpus-based-population-visualization-iso/)
640. [**A Single Model Ensemble Framework for Neural Machine Translation Using Pivot Translation**Seokjin Oh, Keonwoong Noh, Woohwan Jung*2026*](https://md.research.elamur.ai/free/en/papers/oh-2026-single-model-ensemble-framework-neural/)
641. [**Can Video LLMs See Through Illusions? Video-Illusion QA Benchmark Dataset**Souto Ohira, Tosho Hirasawa, Mamoru Komachi*2026*](https://md.research.elamur.ai/free/en/papers/ohira-2026-can-video-llms-see-through/)
642. [**Amulwe Kimün: A Community-Grounded Demo, Resource, and ASR Baseline for Mapuzugun**Cristian Eduardo Ahumada Oliva, Fatiha Sadat*2026*](https://md.research.elamur.ai/free/en/papers/oliva-2026-amulwe-kimun-community-grounded-demo/)
643. [**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/)
644. [**Multimodal LLMs Do Not Compose Skills Optimally across Modalities**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/)
645. [**GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-training**Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/oort-2026-gpt-nl-public-corpus-permissively/)
646. [**Modeling semantic association in self-paced reading with language model embeddings**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/)
647. [**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/)
648. [**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/)
649. [**Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted Resources**Volkan Ozer, Shu Okabe, Alexander Fraser*2026*](https://md.research.elamur.ai/free/en/papers/ozer-2026-interlinear-glosses-as-multilingual-pivot/)
650. [**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/)
651. [**An LLM-Based Assistant for Debt Waiver Court Procedures**Lluis Padro, Daniel Ferrés, Roser Saurí, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padro-2026-llm-based-assistant-debt-waiver/)
652. [**AmbiCoRefVis: A Tool for Visualizing Coreferential Ambiguity**Patrick Paetzold, Lukas Beiske, Mark-Matthias Zymla, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paetzold-2026-ambicorefvis-tool-visualizing-coreferential-ambiguity/)
653. [**Multimodal Entrainment and Feedback in Online Group Meetings**Patrizia Paggio, Manex Agirrezabal, Giulia Di Cristina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paggio-2026-multimodal-entrainment-feedback-online-group/)
654. [**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/)
655. [**Survey of Tools for Manual Linguistic Annotation: Supporting Diversity through Interactive Exploration**Ludovica Pannitto, Kaja Dobrovoljc Zor, Bruno Guillaume*2026*](https://md.research.elamur.ai/free/en/papers/pannitto-2026-survey-tools-manual-linguistic-annotation/)
656. [**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/)
657. [**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/)
658. [**Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches**Namu Park, Giridhar Kaushik Ramachandran, Kevin Lybarger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-identifying-imaging-follow-up-radiology/)
659. [**KOCOH: Korean Context-Dependent Hate Speech Dataset**Eunah Park, Sanghoun Song*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-kocoh-korean-context-dependent-hate/)
660. [**Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence Processing**Dan Parker*2026*](https://md.research.elamur.ai/free/en/papers/parker-2026-transformer-attention-as-unified-model/)
661. [**HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship Detection**Luke S. Patterson, Li Wang, Adam Faulkner*2026*](https://md.research.elamur.ai/free/en/papers/patterson-2026-hybridcodeauthorship-benchmark-dataset-line-level/)
662. [**Integrating Services, Platforms and Resources into a National Infrastructure Cluster for FAIR Language and Cultural Data**Giulia Pedonese, Daniele Melaccio, Michele Mallia, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pedonese-2026-integrating-services-platforms-resources-into/)
663. [**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/)
664. [**PolyglotQL: A Pipeline for Multilingual Text-to-SPARQL Dataset Generation**Julio Perez, Fabio Barth, Georg Rehm*2026*](https://md.research.elamur.ai/free/en/papers/perez-2026-polyglotql-pipeline-multilingual-text-sparql/)
665. [**Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection**Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.*2026*](https://md.research.elamur.ai/free/en/papers/phelps-2026-stands-reason-investigating-effect-reasoning/)
666. [**Semantic Information: A Difference That Makes a Difference**J. Nathanael Philipp, Max Kölbl, Michael Richter*2026*](https://md.research.elamur.ai/free/en/papers/philipp-2026-semantic-information-difference-that-makes/)
667. [**Floating or Suggesting Ideas? A Large-Scale Contrastive Analysis of Metaphorical and Literal Verb–Object Constructions**Prisca Piccirilli, Alexander Fraser, Sabine Schulte im Walde*2026*](https://md.research.elamur.ai/free/en/papers/piccirilli-2026-floating-or-suggesting-ideas-large/)
668. [**Dynamic Model Switching to Mitigate Outdated Knowledge in Large Language Models**Ramakrishna Pinninti, Sabyasachi Kamila, Ayan Mazumder, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pinninti-2026-dynamic-model-switching-mitigate-outdated/)
669. [**RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*](https://md.research.elamur.ai/free/en/papers/pinto-2026-relex-pt-portuguese-sentence-level/)
670. [**A Corpus of Persuasion Techniques in Slavic Languages**Jakub Piskorski, Dimitar Iliyanov Dimitrov, Marina Ernst, et al.*2026*](https://md.research.elamur.ai/free/en/papers/piskorski-2026-corpus-persuasion-techniques-slavic-languages/)
671. [**The Chulalongkorn Corpus of Spoken Thai (CCOST)**Pittayawat Pittayaporn, Cathryn Yang, Sujinat Jitwiriyanont, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pittayaporn-2026-chulalongkorn-corpus-spoken-thai-ccost/)
672. [**Extracting Medical Image-Related Entities from Spanish Electronic Health Records Using NER Methods**Alexander Platas, Marcos Merino, Elena Zotova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/platas-2026-extracting-medical-image-related-entities/)
673. [**Detecting Risky Behavior Related to Alcohol and Drug Use within Adolescents' Private Messenger Conversations**Jaromír Plhák, Michaela Lebedíková, Ondrej Sotolar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/plhak-2026-detecting-risky-behavior-related-alcohol/)
674. [**A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA Tasks**Christian Poelitz, Nick McKenna*2026*](https://md.research.elamur.ai/free/en/papers/poelitz-2026-teacher-student-approach-creating-verified/)
675. [**Judging Instruction Responses in a Low-Resource Language: A Case Study on Basque**David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ponce-2026-judging-instruction-responses-low-resource/)
676. [**The Added Value of Metadata and Annotations: Evidence from Two Large-Scale, Naturalistic Corpus Studies**Anisia Popescu, Johanna Cronenberg, Ioana Vasilescu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/popescu-2026-added-value-metadata-annotations-evidence/)
677. [**DIDECO: An Annotated Dataset for Intent Detection in Digital Communications**Senaid Popovic, Damien Riquet, Maxime Meyer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/)
678. [**LLM as a Morphological Disambiguator for Belarusian: A Preliminary Study**Vladislav Poritski, Oksana Volchek, Ilia Afanasev*2026*](https://md.research.elamur.ai/free/en/papers/poritski-2026-llm-as-morphological-disambiguator-belarusian/)
679. [**Same-Language Subtitles for Low-resource Languages: A Case of Bundelkhandi**Anirudh Pradhan, Ayushi Pandey, Divyansh Kushwaha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pradhan-2026-same-language-subtitles-low-resource/)
680. [**Slovene Morphological and Word Formation Segmentation: A Novel Dataset and Evaluation**Marko Pranjić, Boris Kern, Ines Voršič, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pranjic-2026-slovene-morphological-word-formation-segmentation/)
681. [**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/)
682. [**Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework**Mattia Proietti, Afra Alishahi, Grzegorz Chrupała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/proietti-2026-mechanistic-interpretability-meets-cognitive-linguistics/)
683. [**HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection**Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin*2026*](https://md.research.elamur.ai/free/en/papers/proskurina-2026-hateprototypes-interpretable-transferable-representations-implicit/)
684. [**When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/)
685. [**MesoTree: Annotated Linguistic Resources for Quantitative Comparative Linguistic Analysis and NLP in Mesoamerica**Robert Pugh, Francis Tyers, Robert Henderson*2026*](https://md.research.elamur.ai/free/en/papers/pugh-2026-mesotree-annotated-linguistic-resources-quantitative/)
686. [**Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs**Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-common-sense-vs-morality-curious/)
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