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title: "Computer Science — papers, page 86 — Elamur Research"
description: "Computer Science: 9,085 papers of the Elamur Research library · page 86 of 92 · 8426–8525, the most cited first — our summary of each, its…"
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# 🖥️ Computer Science

9,085 papers · page 86 of 92 · 8426–8525 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial intelligence, language technology, vision, systems, networks, software and the theory of computing.

## Papers (9,085)

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8426. [**Hybrid CNN-Transformer Architecture for Arabic Speech Emotion Recognition**Youcef Soufiane Gheffari, Oussama Mustapha Benouddane, Samiya Silarbi*2026*](https://md.research.elamur.ai/free/en/papers/gheffari-2026-hybrid-cnn-transformer-architecture-arabic/)
8427. [**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/)
8428. [**I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes**Shijia Zhou, Saif M. Mohammad, Barbara Plank, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-i-came-i-saw-i/)
8429. [**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/)
8430. [**ID10M-JAM: Stress-Testing Idiom Identification Under Challenging Context**Kai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hashiloni-2026-id10m-jam-stress-testing-idiom/)
8431. [**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/)
8432. [**Identifying Phrase Boundaries in the Samaritan Pentateuch with Machine Learning**Saulo de Oliveira Cantanhede, Martijn Naaijer, Christian Canu Højgaard, et al.*2026*](https://md.research.elamur.ai/free/en/papers/cantanhede-2026-identifying-phrase-boundaries-samaritan-pentateuch/)
8433. [**ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation**Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abdaljalil-2026-imageeval-2026-culturally-grounded-arabic/)
8434. [**Incorporating Multiword Expressions in Galician Neural Machine Translation: Compositionality, Efficiency, and Performance**Daniel Solla, Paula Pinto-Ferro, Laura Castro, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solla-2026-incorporating-multiword-expressions-galician-neural/)
8435. [**Indic-TunedLens: Interpreting Multilingual Models in Indian Languages**Mihir Panchal, Deeksha Varshney, Mamta, et al.*2026*](https://md.research.elamur.ai/free/en/papers/panchal-2026-indic-tunedlens-interpreting-multilingual-models/)
8436. [**IndigiEval: Evaluating LLMs in North American Indigenous Languages**Julia Mainzinger, Jacqueline Brixey*2026*](https://md.research.elamur.ai/free/en/papers/mainzinger-2026-indigieval-evaluating-llms-north-american/)
8437. [**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/)
8438. [**Insights from Romanized Manipuri Social Media Text: A Transliteration Corpus and Variation Analysis**Maisang Kamei Salice, Sanasam Ranbir Singh, Priyankoo Sarmah*2026*](https://md.research.elamur.ai/free/en/papers/salice-2026-insights-romanized-manipuri-social-media/)
8439. [**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/)
8440. [**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/)
8441. [**Integrating AI into Arabic Linguistics: A Methodological Framework for Reproducible and Interpretable Research**Ismail Akzam, Mohammad Ikhwan Bin Abdullah*2026*](https://md.research.elamur.ai/free/en/papers/akzam-2026-integrating-ai-arabic-linguistics-methodological/)
8442. [**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/)
8443. [**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/)
8444. [**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/)
8445. [**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/)
8446. [**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/)
8447. [**Investigating Memorization in Language Models Trained via Knowledge Distillation**Maarten Mäcking, Michaela Regneri*2026*](https://md.research.elamur.ai/free/en/papers/macking-2026-investigating-memorization-language-models-trained/)
8448. [**Investigating Reasoning with Hypotheses: The RIP2 Corpus**Ella Schad, Clara Seyfried, Chris Reed*2026*](https://md.research.elamur.ai/free/en/papers/schad-2026-investigating-reasoning-hypotheses-rip2-corpus/)
8449. [**IQRA 2026: Interspeech Challenge on Automatic Pronunciation Assessment for Modern Standard Arabic (MSA)**Yassine El Kheir, Amit Meghanani, Mostafa Shahin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kheir-2026-iqra-2026-interspeech-challenge-automatic/)
8450. [**Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models**Nasser A Alsadhan*2026*](https://md.research.elamur.ai/free/en/papers/alsadhan-2026-ai-catching-up-human-expression/)
8451. [**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/)
8452. [**Is Cross-Lingual Transfer in Bilingual Models Human-Like? A Study with Overlapping Word Forms in Dutch and English**Iza Škrjanec, Irene Elisabeth Winther, Vera Demberg, et al.*2026*](https://md.research.elamur.ai/free/en/papers/skrjanec-2026-is-cross-lingual-transfer-bilingual/)
8453. [**Is Semi-Automatic Transcription Useful in Corpus Creation? Preliminary Considerations on the KIParla Corpus**Martina Simonotti, Ludovica Pannitto, Eleonora Zucchini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/simonotti-2026-is-semi-automatic-transcription-useful/)
8454. [**Is There Anything More Deceptive than an Obvious Fact? Investigating Implicitness in User-Generated Argumentative Text**Ekaterina Sviridova, Elena Cabrio, Serena Villata*2026*](https://md.research.elamur.ai/free/en/papers/sviridova-2026-is-there-anything-more-deceptive/)
8455. [**Ithaca Revisited: Benchmarking a Domain-Specific Model for Epigraphy in the Age of LLMs**Alessandro Locaputo, Andrea Brunello, Nicola Saccomanno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/locaputo-2026-ithaca-revisited-benchmarking-domain-specific/)
8456. [**J-ClinicalBench: A Benchmark for Evaluating Large Language Models on Practical Clinical Tasks in Japanese**Seiji Shimizu, Tomohiro Nishiyama, HISADA Shohei, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shimizu-2026-j-clinicalbench-benchmark-evaluating-large/)
8457. [**JobArabi: An Arabic Corpus and Analysis of Job Announcements from Social Media**Wajdi Zaghouani, Shimaa Amer Ibrahim, Mabrouka Bessghaier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-jobarabi-arabic-corpus-analysis-job/)
8458. [**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/)
8459. [**JSTS-Neg: Japanese Semantic Textual Similarity Dataset for Evaluating Negation Understanding Ability**Reiko Yuasa, Yoshihide Kato, Shigeki Matsubara*2026*](https://md.research.elamur.ai/free/en/papers/yuasa-2026-jsts-neg-japanese-semantic-textual/)
8460. [**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/)
8461. [**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/)
8462. [**K-CoT: Chinese Parallelism Generation Based on Keywords Chain-of-Thought Prompting (K-CoT：基于关键词思维链提示的中文排比句生成研究)**Maosheng Zhong (钟茂生), Jiaqi Gan (甘家其), Hejun Zhang (张鹤君), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhong-2026-k-cot-chinese/)
8463. [**K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis**Jae Hee Yang, Yuha Shin, Saim Shin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-k-mind-korean-multimodal-interaction/)
8464. [**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/)
8465. [**Knowledge-Infused Hierarchy-Aware Emotion Recognition in Code-mixed Mental Health Counseling Conversations**Aseem Srivastava, Kushagra Mittal, Anusha Tiwari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/srivastava-2026-knowledge-infused-hierarchy-aware-emotion/)
8466. [**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/)
8467. [**Language Mixture to Develop Accurate Galician Dependency Parsers: An Exploration of Its Effects**Xabier Irastortza-Urbieta, José M. García-Miguel, Marcos Garcia*2026*](https://md.research.elamur.ai/free/en/papers/urbieta-2026-language-mixture-develop-accurate-galician/)
8468. [**Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound Semantics**Le Qiu, Emmanuele Chersoni, He Zhou, et al.*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-large-language-models-put-test/)
8469. [**Learning Latent Representations with Progressive Hypothesis Space Expansion**Jonathan Charles Paramore*2026*](https://md.research.elamur.ai/free/en/papers/paramore-2026-learning-latent-representations-progressive-hypothesis/)
8470. [**Learning Process Interaction Through Simplex ISL Transducers**Chenli Wang, Adam Jardine*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-process-interaction-through-simplex/)
8471. [**Learning Stress in Arabic Low-Resource Settings**Abed Qaddoumi, Salam Khalifa, Jordan Kodner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/qaddoumi-2026-learning-stress-arabic-low-resource/)
8472. [**Learning the Arabic Dialect Continuum as a Continuous Space: A Regression Approach to Speaker Origin Prediction**Mohamed Aziz Khadraoui, Adel Ammar, Bilel Benjdira, et al.*2026*](https://md.research.elamur.ai/free/en/papers/khadraoui-2026-learning-arabic-dialect-continuum-continuous/)
8473. [**LegalSim-PT: Building a Dataset for Legal Document Simplification in Portuguese Leveraging Linguistic Metrics**Arthur Scalercio, Maria José Finatto, Aline Paes*2026*](https://md.research.elamur.ai/free/en/papers/scalercio-2026-legalsim-pt-building-dataset-legal/)
8474. [**Leveraging Decoupled Composition in Large Language Models for Knowledge Base Question Answering (基于解耦与组合的大模型知识问答方法)**Shengze Shi (施圣泽), Li Qin (秦利), Jun Hu (胡军), et al.*2026*](https://md.research.elamur.ai/free/en/papers/shi-2026-leveraging-decoupled-composition/)
8475. [**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/)
8476. [**Leveraging Semi-Supervised Learning for Multimodal Hate Speech Data Annotation and Detection**Rathi Adarshi Rammohan, Zhao Ren, Dominik Puchała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rammohan-2026-leveraging-semi-supervised-learning-multimodal/)
8477. [**Lexical and Syntactic Diversity: Still Lost in Machine Translation?**Lise Volkart, Pierrette Bouillon*2026*](https://md.research.elamur.ai/free/en/papers/volkart-2026-lexical-syntactic-diversity-still-lost/)
8478. [**LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-lgse-lexically-grounded-subword-embedding/)
8479. [**Linguistic Feature Tagging for Automatic Classification of 27 Closely-Related Quechua Varieties**Claire Benét Post, Alexis Palmer*2026*](https://md.research.elamur.ai/free/en/papers/post-2026-linguistic-feature-tagging-automatic-classification/)
8480. [**Linguistic Uncertainty and Engagement in Arabic-Language X (formerly Twitter) Discourse**Mohamed Soufan*2026*](https://md.research.elamur.ai/free/en/papers/soufan-2026-linguistic-uncertainty-engagement-arabic-language/)
8481. [**Link Prediction over N-ary Knowledge Graphs: A Survey (多元知识图谱链接预测研究综述)**Jiyao Wei (隗继耀), Saiping Guan (官赛萍), Xiaolong Jin (靳小龙), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-link-prediction-over/)
8482. [**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/)
8483. [**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/)
8484. [**LLM-as-a-Jury for Machine Translation Publishability Assessment**Alex Yanishevsky, Olivia Norris*2026*](https://md.research.elamur.ai/free/en/papers/yanishevsky-2026-llm-as-jury-machine-translation/)
8485. [**LLM-Assisted Spanish Dialect Corpus Construction**Jessica Claribel RAMIREZ VIDAL, Hiroki Ouchi, Sakriani Sakti*2026*](https://md.research.elamur.ai/free/en/papers/vidal-2026-llm-assisted-spanish-dialect-corpus/)
8486. [**LLMs as Annotators: Evaluating Model–Human Alignment in Detecting Contentious Language in Historical Corpora**Yahui Zhao, Clemencia Siro, Laura Hollink*2026*](https://md.research.elamur.ai/free/en/papers/zhao-2026-llms-as-annotators-evaluating-model/)
8487. [**LLMs as Translator Training Partners: A Multi-Agent Approach**Ming Qian, Luyi Yang*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-llms-as-translator-training-partners/)
8488. [**LLMs Out-of-the-Box Do Not Generate Context-Appropriate Word Order in Russian**Alina Shabaeva, John Frederick Bailyn, Owen Rambow*2026*](https://md.research.elamur.ai/free/en/papers/shabaeva-2026-llms-out-box-do-not/)
8489. [**LocRegen: Cost-Efficient Redundancy Removal in Multilingual E-commerce Titles with Small Language Models**Bryan Zhang, Stephan Walter, Luca Lomanto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-locregen-cost-efficient-redundancy-removal/)
8490. [**Logic-Level Evaluation of Logical Table-to-Text Generation**Lena Trigg, Dean F. Hougen, Ahsan Bilal*2026*](https://md.research.elamur.ai/free/en/papers/trigg-2026-logic-level-evaluation-logical-table/)
8491. [**LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail Entities**William Xion, Uwe Hadler, Tim Cofala, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xion-2026-longtailqa-benchmarking-llms-rag-models/)
8492. [**LoRA Fine-Tuning of English–Norwegian NMT for the Oil & Gas Industry**Xiaojing Yang, Zhihan Li, Gege Sun, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-lora-fine-tuning-english-norwegian/)
8493. [**LoResMT 2026 Shared Task System Description**Vladimir Panov*2026*](https://md.research.elamur.ai/free/en/papers/panov-2026-loresmt-2026-shared-task-system/)
8494. [**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/)
8495. [**Low-Rank Compression of Language Models via Differentiable Rank Selection**Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini*2026*](https://md.research.elamur.ai/free/en/papers/sundrani-2026-low-rank-compression-language-models/)
8496. [**LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation**Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-lst-mwe-2026-admire-2/)
8497. [**LV-ROVER-MLT: Low-Resource Maltese OCR by Synthetic Fine-Tuning and Multi-Stream Arbitration**Adam Darmanin*2026*](https://md.research.elamur.ai/free/en/papers/darmanin-2026-lv-rover-mlt-low-resource/)
8498. [**Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding**Abdulhai Alali, Abderrahmane Issam*2026*](https://md.research.elamur.ai/free/en/papers/alali-2026-maastricht-university-amiya-adapting-llms/)
8499. [**Machine Translation between English and Syriac (East Syriac Dialect) using Statistical Machine Learning**Hadiana Sliwa, Hossein Hassani*2026*](https://md.research.elamur.ai/free/en/papers/sliwa-2026-machine-translation-between-english-syriac/)
8500. [**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/)
8501. [**Making Jobs Accessible through AI-supported Easy Language Translation**Fabian Merkel, Marco Baumgartner, Athanasios Breskas, et al.*2026*](https://md.research.elamur.ai/free/en/papers/merkel-2026-making-jobs-accessible-through-ai/)
8502. [**MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios**Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/)
8503. [**MaskedVerbalizer: Automatic Verbalizer Construction for Few-Shot Text Classification in Low-Resource Right-to-Left Languages**Faizad Ullah, Furqan Sikandar, Areeba Waqar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ullah-2026-maskedverbalizer-automatic-verbalizer-construction-few/)
8504. [**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/)
8505. [**MaTIAS – Machine Translation to Inform Asylum Seekers: final results**July De Wilde, Anaïs Wouters, Arda Tezcan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wilde-2026-matias-machine-translation-inform-asylum/)
8506. [**MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model**Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/du-2026-mazzikaai-knowledge-based-performance-prompt/)
8507. [**Meaning Annotation Experience. A Tribute to Petr Sgall**Marie Mikulová, Jan Štěpánek, Barbora Štěpánková, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mikulova-2026-meaning-annotation-experience-tribute-petr/)
8508. [**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/)
8509. [**Meaning Representations as Variational Quantum Circuits**Tilen Gaetano Limbäck-Stokin, Tanishka A. Birdavade, Kin Ian Lo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stokin-2026-meaning-representations-as-variational-quantum/)
8510. [**Meaning-Making Process and Error Dynamics in ChatGPT-Mediated Translation**Iulia Mihalache, María-José Varela Salinas*2026*](https://md.research.elamur.ai/free/en/papers/mihalache-2026-meaning-making-process-error-dynamics/)
8511. [**Measuring Idiomaticity in Text Embedding Models with epsilon-compositionality**Sondre Wold, Étienne Simon, Erik Velldal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wold-2026-measuring-idiomaticity-text-embedding-models/)
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8513. [**Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output**Joris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/)
8514. [**MentalMARBERT: Domain-Adaptive Pre-training and Two-Stage Fine-Tuning for Arabic Mental Health Disorders Detection**Fatimah Almalki; Areej Alhothali; Lulwah Alharigy;, Abdulrahman Aladeem*2026*](https://md.research.elamur.ai/free/en/papers/almalki-2026-mentalmarbert-domain-adaptive-pre-training/)
8515. [**Merge and Conquer: Instructing Multilingual Models by Adding Target Language Weights**Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/valero-2026-merge-conquer-instructing-multilingual-models/)
8516. [**Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in Finance**Kentaro Ueda, François Portet, Hirohiko Suwa, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ueda-2026-merging-continual-pretraining-models-domain/)
8517. [**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/)
8518. [**Metric Grammars: A usage-based grammatical formalism that supports generation, parsing and morphological innovation**Whitney Tabor, Hyosun Lee*2026*](https://md.research.elamur.ai/free/en/papers/tabor-2026-metric-grammars-usage-based-grammatical/)
8519. [**MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning**Zimu Wang, Yuqi Wang, Tong Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/)
8520. [**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/)
8521. [**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/)
8522. [**MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection**David M. Smiley*2026*](https://md.research.elamur.ai/free/en/papers/smiley-2026-miqrabert-regression-based-sentence-bert/)
8523. [**Modeling the Dalet Clitic in Historical Hebrew Texts: A New Prefix-Segmented BERT Model and Stylistic Analysis**Rachel Tal, Cheyn Shmuel Shmidman, Avi Shmidman*2026*](https://md.research.elamur.ai/free/en/papers/tal-2026-modeling-dalet-clitic-historical-hebrew/)
8524. [**Modelling Idiomatic Expressions in Abstract Meaning Representation**Venera Gareeva, Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/)
8525. [**Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR**Wenyang Gao, Yaxuan Li, Yunxin Bao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/)

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