---
title: "Artificial Intelligence — papers, page 68"
description: "Artificial Intelligence: 7,180 papers of the Elamur Research library · page 68 of 73 · 6626–6725, the most cited first — our summary of each, its ideas…"
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# 🤖 Artificial Intelligence

7,180 papers · page 68 of 73 · 6626–6725 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Artificial Intelligence is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Natural Language Processing Techniques», «Topic Modeling», «Speech and dialogue systems».

## Papers

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6626. [**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/)
6627. [**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/)
6628. [**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/)
6629. [**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/)
6630. [**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/)
6631. [**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/)
6632. [**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/)
6633. [**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/)
6634. [**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/)
6635. [**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/)
6636. [**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/)
6637. [**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/)
6638. [**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/)
6639. [**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/)
6640. [**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/)
6641. [**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/)
6642. [**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/)
6643. [**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/)
6644. [**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/)
6645. [**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/)
6646. [**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/)
6647. [**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/)
6648. [**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/)
6649. [**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/)
6650. [**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/)
6651. [**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/)
6652. [**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/)
6653. [**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/)
6654. [**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/)
6655. [**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/)
6656. [**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/)
6657. [**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/)
6658. [**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/)
6659. [**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/)
6660. [**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/)
6661. [**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/)
6662. [**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/)
6663. [**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/)
6664. [**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/)
6665. [**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/)
6666. [**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/)
6667. [**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/)
6668. [**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/)
6669. [**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/)
6670. [**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/)
6671. [**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/)
6672. [**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/)
6673. [**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/)
6674. [**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/)
6675. [**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/)
6676. [**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/)
6677. [**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/)
6678. [**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/)
6679. [**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/)
6680. [**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/)
6681. [**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/)
6682. [**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/)
6683. [**LoResMT 2026 Shared Task System Description**Vladimir Panov*2026*](https://md.research.elamur.ai/free/en/papers/panov-2026-loresmt-2026-shared-task-system/)
6684. [**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/)
6685. [**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/)
6686. [**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/)
6687. [**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/)
6688. [**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/)
6689. [**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/)
6690. [**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/)
6691. [**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/)
6692. [**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/)
6693. [**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/)
6694. [**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/)
6695. [**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/)
6696. [**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/)
6697. [**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/)
6698. [**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/)
6699. [**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/)
6700. [**MekongPhon: A Large-Scale Parallel IPA Corpus for Lao and Khmer**Ammon Shurtz, Christian Richardson, Stephen D. Richardson*2026*](https://md.research.elamur.ai/free/en/papers/shurtz-2026-mekongphon-large-scale-parallel-ipa/)
6701. [**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/)
6702. [**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/)
6703. [**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/)
6704. [**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/)
6705. [**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/)
6706. [**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/)
6707. [**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/)
6708. [**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/)
6709. [**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/)
6710. [**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/)
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6716. [**MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation**Parker Riley, Daniel Deutsch, Mara Finkelstein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/riley-2026-mqm-re-annotation-technique-collaborative/)
6717. [**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/)
6718. [**MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/)
6719. [**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/)
6720. [**MUDiC: A Dataset for Multi-User Dialogue and Collaboration in Chatbot Interaction**Nicolas Wagner, Cristina Luna Jimenez, Elisabeth Andre, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wagner-2026-mudic-dataset-multi-user-dialogue/)
6721. [**Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/)
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6723. [**Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs**Hunzalah Hassan Bhatti, Firoj Alam, Shammur Absar Chowdhury*2026*](https://md.research.elamur.ai/free/en/papers/bhatti-2026-multi-task-instruction-tuning-data/)
6724. [**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/)
6725. [**Multilingual KokoroChat: A Multi-LLM Ensemble Translation Method for Creating a Multilingual Counseling Dialogue Dataset**Ryoma Suzuki, Zhiyang Qi, Michimasa Inaba*2026*](https://md.research.elamur.ai/free/en/papers/suzuki-2026-multilingual-kokorochat-multi-llm-ensemble/)

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