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# Works of Language Resources and Evaluation Conference (LREC)

811 works · page 6 of 9 · the most cited first · [← Language Resources and Evaluation Conference…](https://md.research.elamur.ai/free/en/venues/lrec/)

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501. [**Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA**Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/maheshwary-2026-augmenting-llm-reasoning-dynamic-notes/)
502. [**AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language Models**Hazza Mahmood, Yongqiang Yu, Rao Anwer*2026*](https://md.research.elamur.ai/free/en/papers/mahmood-2026-agrichain-visually-grounded-expert-verified/)
503. [**CommonMorph: Participatory Morphological Documentation Platform**Aso Mahmudi, Sina Ahmadi, Kemal Maulana Kurniawan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mahmudi-2026-commonmorph-participatory-morphological-documentation-platform/)
504. [**From Rosetta to Match-Up: A Paired Corpus of Linguistic Puzzles with Human and LLM Benchmarks**Neh Majmudar, Anne Huang, Jinfan Frank Hu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/majmudar-2026-rosetta-match-up-paired-corpus/)
505. [**DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/)
506. [**Structured Prompting for Arabic Essay Proficiency: A Trait-Centric Evaluation Approach**Salim Al Mandhari, Hieu Pham Dinh, Mo El-Haj, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mandhari-2026-structured-prompting-arabic-essay-proficiency/)
507. [**Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health Corpus**Aidan Mannion, Cécile Macaire, Armand Violle, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mannion-2026-is-biomedical-specialization-still-worth/)
508. [**A Computational Diachronic Analysis of Gen Z Mental Health Discourse: A Large-scale Reddit Corpus Study from Pre- to Post-COVID**Felix Mao*2026*](https://md.research.elamur.ai/free/en/papers/mao-2026-computational-diachronic-analysis-gen-z/)
509. [**A Corpus-Based Profiling of Regional English Variants in Global Media: Insights from Olympic Journalism**Felix Mao*2026*](https://md.research.elamur.ai/free/en/papers/mao-2026-corpus-based-profiling-regional-english/)
510. [**The Evolution of Philosophy: A Metaphorical Cognition Perspective**Rui Mao, Dapeng Chen, Zihao Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mao-2026-evolution-philosophy-metaphorical-cognition-perspective/)
511. [**Mind the Language Gap: Assessing LLM Safety in Italian**Elena Marafatto, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/marafatto-2026-mind-language-gap-assessing-llm/)
512. [**Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation**Malik Marmonier, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/marmonier-2026-hindsight-quality-prediction-experiments-multi/)
513. [**SOMVOICE: A First Dataset to Study the Effects of Sleep Deprivation on Voice Characteristics of Healthy French Speakers**Vincent P. Martin, Jean-Luc Rouas, Colleen Beaumard, et al.*2026*](https://md.research.elamur.ai/free/en/papers/martin-2026-somvoice-first-dataset-study-effects/)
514. [**A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks**Matej Martinc, Domen Vreš*2026*](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/)
515. [**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/)
516. [**Automatic Prediction of Prominence and Boundary Strength from Text**Pauline Mas, Kévin Vythelingum, Jonathan Chevelu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mas-2026-automatic-prediction-prominence-boundary-strength/)
517. [**ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning**Audrey Mash, Ella Paulina Bohman, Maite Melero*2026*](https://md.research.elamur.ai/free/en/papers/mash-2026-paraclean-improving-translation-quality-through/)
518. [**Phonetic-based Ranking for Improved Pseudo-Labeling in Low-Resource ASR**Marco Matassoni, Roberto Gretter, Falavigna Daniele, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matassoni-2026-phonetic-based-ranking-improved-pseudo/)
519. [**Topic-Initiator: A Proactive Chatbot with Personalized Topic RAG for Enhancing Willingness to Converse**Kazuya Matsuo, Atsushi Otsuka, Narichika Nomoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matsuo-2026-topic-initiator-proactive-chatbot-personalized/)
520. [**Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models**Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/)
521. [**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/)
522. [**Generating Sign Language Poses from HamNoSys and Natural Language Descriptions**Santiago Máximo, Luis Chiruzzo*2026*](https://md.research.elamur.ai/free/en/papers/maximo-2026-generating-sign-language-poses-hamnosys/)
523. [**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/)
524. [**Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM Search**Kyle A. McCleary, James M. Ghawaly*2026*](https://md.research.elamur.ai/free/en/papers/mccleary-2026-quantifying-accuracy-cost-impact-design/)
525. [**SemiAdapt: Semi-Supervised and Efficient LoRA-Based Domain Adaptation for Low-Resource Irish Machine Translation with Transformers**Josh Mcgiff, Nikola S. Nikolov*2026*](https://md.research.elamur.ai/free/en/papers/mcgiff-2026-semiadapt-semi-supervised-efficient-lora/)
526. [**Transcription Accuracy in the Icelandic Gigaword Corpus: Evaluating Automatic and Manual Annotation**Johanna Mechler, Lilja Björk Stefánsdóttir, Anton Karl Ingason*2026*](https://md.research.elamur.ai/free/en/papers/mechler-2026-transcription-accuracy-icelandic-gigaword-corpus/)
527. [**Can LLMs Faithfully Explain Themselves in Low-Resource Languages? A Case Study on Emotion Detection in Persian**Mobina Mehrazar, Mohammad Amin Yousefi, Parisa Beygi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mehrazar-2026-can-llms-faithfully-explain-themselves/)
528. [**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/)
529. [**Automating FAIRness: A FAIRification Tool within the Language Resources Infrastructure**Daniele Melaccio, Monica Monachini*2026*](https://md.research.elamur.ai/free/en/papers/melaccio-2026-automating-fairness-fairification-tool-within/)
530. [**SALOMO: An Annotation Tool for Complex Annotation Tasks with a Large Number of Labels**Tim Menzner*2026*](https://md.research.elamur.ai/free/en/papers/menzner-2026-salomo-annotation-tool-complex-annotation/)
531. [**Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation**Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.*2026*](https://md.research.elamur.ai/free/en/papers/miandoab-2026-breaking-benchmark-revealing-llm-bias/)
532. [**GerVLPro: A CEFR-Graded Vocabulary List of L2 Learners' Productive Vocabulary in German**Noah-Manuel Michael, Anna Hülsing, Andrea Horbach*2026*](https://md.research.elamur.ai/free/en/papers/michael-2026-gervlpro-cefr-graded-vocabulary-list/)
533. [**A Recipe for Adapting Multilingual Embedders to OCR-Error Robustness and Historical Texts**Andrianos Michail, Stylianos Psychias, Juri Opitz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/michail-2026-recipe-adapting-multilingual-embedders-ocr/)
534. [**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/)
535. [**What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience**Filip Miletić, Neele Falk*2026*](https://md.research.elamur.ai/free/en/papers/miletic-2026-what-are-llms-doing-scientific/)
536. [**Best-Worst Scaling of Hype in Biomedical Research: Building an Intensity Lexicon of Promotional Adjectives**Neil Millar, Dipesh Satav, Bojan Batalo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/millar-2026-best-worst-scaling-hype-biomedical/)
537. [**A Dataset of Psychiatric Hospital Notes with Temporal Information Annotations**Timothy A. Miller, Gaby Dinh, David Harris, et al.*2026*](https://md.research.elamur.ai/free/en/papers/miller-2026-dataset-psychiatric-hospital-notes-temporal/)
538. [**Multilingual Target-Stance Extraction**Ethan Leigh Mines, Bonnie J. Dorr*2026*](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/)
539. [**Introducing PerMet 1.0: A Metaphor-Annotated Corpus for Persian**Mohammad Saeid Miri*2026*](https://md.research.elamur.ai/free/en/papers/miri-2026-introducing-permet-1-0-metaphor/)
540. [**SouDeC: Source Detection and Classification in Czech**Jiří Mírovský, Barbora Hladka*2026*](https://md.research.elamur.ai/free/en/papers/mirovsky-2026-soudec-source-detection-classification-czech/)
541. [**Are the LLMs Capable of Maintaining at Least the Language Genus?**Sandra Mitrović, David Kletz, Ljiljana Dolamic, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mitrovic-2026-are-llms-capable-maintaining-least/)
542. [**English to Central Kurdish Speech Translation: Corpus Creation, Evaluation, and Orthographic Standardization**Mohammad Mohammadamini, Daban Jaff, Josep Crego, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-english-central-kurdish-speech-translation/)
543. [**Southern Kurdish Speech Recognition Resources and Benchmarking**Mohammad Mohammadamini, Marie Tahon*2026*](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-southern-kurdish-speech-recognition-resources/)
544. [**A Longitudinal, Multinational, and Multilingual Corpus of News Coverage of the Russo-Ukrainian War**Dikshya Mohanty, Taisiia Sabadyn, Jelwin Rodrigues, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mohanty-2026-longitudinal-multinational-multilingual-corpus-news/)
545. [**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/)
546. [**DATASHI: A Parallel English–Tashlhiyt Corpus for Orthography Normalization and Low-Resource Language Processing.**Nasser-Eddine Monir, Zakaria Baou*2026*](https://md.research.elamur.ai/free/en/papers/monir-2026-datashi-parallel-english-tashlhiyt-corpus/)
547. [**Creating a Hybrid Rule and Neural Network Based Semantic Tagger Using Silver Standard Data: The PyMUSAS Framework for Multilingual Semantic Annotation**Andrew Moore, Paul Rayson, Dawn Archer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moore-2026-creating-hybrid-rule-neural-network/)
548. [**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/)
549. [**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/)
550. [**MultiCoS: A Multilingual Dataset of Connective Semantics with Context–Sentence Compatibility**Anne Mucha, Ciyang Qing, Wataru Uegaki*2026*](https://md.research.elamur.ai/free/en/papers/mucha-2026-multicos-multilingual-dataset-connective-semantics/)
551. [**Insights from Transfer Learning Experiments with Word-in-Context and Word Sense Disambiguation Models**Alp Mujko, Dominik Schlechtweg*2026*](https://md.research.elamur.ai/free/en/papers/mujko-2026-insights-transfer-learning-experiments-word/)
552. [**FIBER: A Multilingual Evaluation Resource for Factual Inference Bias**Evren Ayberk Munis, Deniz Yilmaz, Arianna Muti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/munis-2026-fiber-multilingual-evaluation-resource-factual/)
553. [**Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated Neurons**Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago*2026*](https://md.research.elamur.ai/free/en/papers/munoz-2026-reliable-ai-fairness-challenges-steering/)
554. [**Evaluating Discriminability of Vision-Language Models**Masayasu Muraoka, Naoaki Okazaki*2026*](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/)
555. [**Event Chronography in Multi-modal Data: The BME Method for Quantitative Analyses**Anaïs Claire Murat, Maria Koutsombogera, Carl Vogel*2026*](https://md.research.elamur.ai/free/en/papers/murat-2026-event-chronography-multi-modal-data/)
556. [**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/)
557. [**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/)
558. [**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/)
559. [**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/)
560. [**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/)
561. [**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/)
562. [**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/)
563. [**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/)
564. [**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/)
565. [**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/)
566. [**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/)
567. [**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/)
568. [**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/)
569. [**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/)
570. [**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/)
571. [**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/)
572. [**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/)
573. [**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/)
574. [**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/)
575. [**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/)
576. [**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/)
577. [**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/)
578. [**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/)
579. [**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/)
580. [**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/)
581. [**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/)
582. [**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/)
583. [**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/)
584. [**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/)
585. [**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/)
586. [**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/)
587. [**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/)
588. [**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/)
589. [**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/)
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