--- title: "Artificial Intelligence — papers, page 67" description: "Artificial Intelligence: 7,180 papers of the Elamur Research library · page 67 of 73 · 6526–6625, the most cited first — our summary of each, its ideas…" canonical: "https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/67/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/67/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Computer Science](https://md.research.elamur.ai/free/en/shelves/computer-science/) / [Artificial Intelligence](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) / page 67 # 🤖 Artificial Intelligence 7,180 papers · page 67 of 73 · 6526–6625 · 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 [← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/66/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) … [66](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/66/) **67** [68](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/68/) … [73](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/73/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/page/68/) 6526. [**English Word Sense Disambiguation in 2026: When the Labels Become the Bottleneck**Vassili Philippov, Amro Salman, Dmitrii Andreev, et al.*2026*](https://md.research.elamur.ai/free/en/papers/philippov-2026-english-wsd-labels/) 6527. [**Enhancing the Role-playing Capabilities of Reasoning-optimized Large Language Models (推理型大语言模型角色扮演能力评估与优化)**Xiachong Feng (冯夏冲), Yichong Huang (黄毅翀), Xiaocheng Feng (冯骁骋), et al.*2026*](https://md.research.elamur.ai/free/en/papers/feng-2026-enhancing-role-playing/) 6528. [**Ensemble Methods for Low-Resource Russian-Kyrgyz Machine Translation: When Diverse Models Beat Better Models**Adilet Metinov*2026*](https://md.research.elamur.ai/free/en/papers/metinov-2026-ensemble-methods-low-resource-russian/) 6529. [**Entity-Level Sentiment Analysis with Sentence Relevance Detection**Egil Rønningstad, Roman Klinger, Lilja Øvrelid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ronningstad-2026-entity-level-sentiment-analysis-sentence/) 6530. [**Entropy-aware Masking for Masked Language Modeling**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/) 6531. [**eSciBench: An Extensible Scientific PDF Extraction Benchmark**Noah Tremblay Taillon, Phillippe Langlais*2026*](https://md.research.elamur.ai/free/en/papers/taillon-2026-escibench-extensible-scientific-pdf-extraction/) 6532. [**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/) 6533. [**Evaluating Frontier LLM Translation Capability for Lakota**Lance Robertson*2026*](https://md.research.elamur.ai/free/en/papers/robertson-2026-evaluating-frontier-llm-translation-capability/) 6534. [**Evaluating Hierarchical Aggregation and LLM-Based Matching for Synset Selection in Ancient Greek**Luca Brigada Villa, Marco Passarotti, Chiara Zanchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/villa-2026-evaluating-hierarchical-aggregation-llm-based/) 6535. [**Evaluating Humanities Theory Alignment in Large Language Models: Incremental Prompting and Statistical Assessment**Axel Pichler, Janis Pagel*2026*](https://md.research.elamur.ai/free/en/papers/pichler-2026-evaluating-humanities-theory-alignment-large/) 6536. [**Evaluating Latin and Ancient Greek Sentence Alignment through Parallel Sentence Mining**Sebastian Reichbauer, Shu Okabe, Alexander Fraser*2026*](https://md.research.elamur.ai/free/en/papers/reichbauer-2026-evaluating-latin-ancient-greek-sentence/) 6537. [**Evaluating LLM Style Transfer Through Readability-Based Age Assessments**Maria Di Maro, Antonio Origlia, Leonilda Bilo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/maro-2026-evaluating-llm-style-transfer-through/) 6538. [**Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/) 6539. [**Evaluating Native-Speaker Preferences on Machine Translation and Post-Edits for Five African Languages**Hiba El Oirghi, Tajuddeen Gwadabe, Marine Carpuat*2026*](https://md.research.elamur.ai/free/en/papers/oirghi-2026-evaluating-native-speaker-preferences-machine/) 6540. [**Evaluating Small Language Models for English-to-Portuguese Translation: Impact of Model Scale and Quantization**Gustavo Lopes Tamiosso, Rafael Oleques Nunes, Dennis Giovani Balreira*2026*](https://md.research.elamur.ai/free/en/papers/tamiosso-2026-evaluating-small-language-models-english/) 6541. [**Evaluating the Adaptability of Large Language Models to Linguistic Variation**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/) 6542. [**Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language Models**Junya Takayama, Masaya Ohagi, Tomoya Mizumoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/takayama-2026-evaluating-effect-question-wording-variations/) 6543. [**Evaluating the Impact of Source Diversity for RAG in Historical Research**Ruhi Mahadeshwar, Andreas van Cranenburgh, Tommaso Caselli, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mahadeshwar-2026-evaluating-impact-source-diversity-rag/) 6544. [**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/) 6545. [**Evaluation of Document-Level Text Simplification in Japanese**Iori Yamashita, Hikari Tanaka, Hajime Kiyama, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yamashita-2026-evaluation-document-level-text-simplification/) 6546. [**Evaluation of Multilingual Text Simplification for the Mental Health Domain: Exploring Small Language Models**Olga Pelloni, Sandra Just, Lars Bongo*2026*](https://md.research.elamur.ai/free/en/papers/pelloni-2026-evaluation-multilingual-text-simplification-mental/) 6547. [**Evaluation of Paralinguistic-Aware Spoken Dialogue Systems using Next-Utterance Classification**Kouki Miyazawa, Yoshinao Sato*2026*](https://md.research.elamur.ai/free/en/papers/miyazawa-2026-evaluation-paralinguistic-aware-spoken-dialogue/) 6548. [**Event-Guided Slot Interaction for Multi-Domain Dialogue State Tracking**Ying Xia, Wei Liu*2026*](https://md.research.elamur.ai/free/en/papers/xia-2026-event-guided-slot-interaction-multi/) 6549. [**Examining Algebraic Recombination for Compositional Generalisation**Joaquin Cardona Ruiz, Antske Fokkens, Lucia Donatelli*2026*](https://md.research.elamur.ai/free/en/papers/ruiz-2026-examining-algebraic-recombination-compositional-generalisation/) 6550. [**Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and Tigrinya**Hailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl*2026*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-expanding-lexicon-ge-ez-based/) 6551. [**Explainable AI for Ethical Counter Speech Generation in Hate Speech Mitigation**Ashiful Islam Ridoy, Mohammed Faisal, Yogesh Kumar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ridoy-2026-explainable-ai-ethical-counter-speech/) 6552. [**Explore Political Discourse with Transformers. Emergent Paradigmatic and Syntagmatic Representations.**Laurent Vanni, Damon Mayaffre*2026*](https://md.research.elamur.ai/free/en/papers/vanni-2026-explore-political-discourse-transformers-emergent/) 6553. [**Exploring Cognitively Informed Sentence Simplification with Gaze-Guided Text Generation**Andreas Säuberli, Diego Frassinelli, Barbara Plank*2026*](https://md.research.elamur.ai/free/en/papers/sauberli-2026-exploring-cognitively-informed-sentence-simplification/) 6554. [**Extending Creativity: Large Language Models and the Practice of Poetry Translation**Natalia Resende, James Hadley*2026*](https://md.research.elamur.ai/free/en/papers/resende-2026-extending-creativity-large-language-models/) 6555. [**Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks**Jakub Šmíd, Pavel Priban, Pavel Kral*2026*](https://md.research.elamur.ai/free/en/papers/smid-2026-extending-czech-aspect-based-sentiment/) 6556. [**Extracting First Order Logic formulas from graphical semantic representations**Rémi de Vergnette, Vincent Tourneur, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-extracting-first-order-logic-formulas/) 6557. [**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/) 6558. [**Extractive Summarization for Arabic Documents Using SAraBERT with a Semantic Siamese Similarity Evaluation Metric**Sami Shames El Deen, Mariette Awad*2026*](https://md.research.elamur.ai/free/en/papers/deen-2026-extractive-summarization-arabic-documents-using/) 6559. [**Facilitating Large Language Model-based Multiple-choice Reading Comprehension with Question-solving Thought (基于解题思维机制的大语言模型多项选择阅读理解增强框架)**Yisong Su (苏艺淞), Yuanzhe Zhang (张元哲), Xiangwen Liao (廖祥文), et al.*2026*](https://md.research.elamur.ai/free/en/papers/su-2026-facilitating-large-language/) 6560. [**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/) 6561. [**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/) 6562. [**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/) 6563. [**Fill-in-the-Blanks: Automatic Generation and Evaluation of Language Models' Pseudonyms for English and Swedish Texts**Maria Irena Szawerna, Jacob Lee Suchardt*2026*](https://md.research.elamur.ai/free/en/papers/szawerna-2026-fill-blanks-automatic-generation-evaluation/) 6564. [**Finding Sense in Nonsense with Generated Contexts: Perspectives from Humans and Language Models**Katrina Olsen, Sebastian Padó*2026*](https://md.research.elamur.ai/free/en/papers/olsen-2026-finding-sense-nonsense-generated-contexts/) 6565. [**Fine-tuning Whisper Across 81 Languages**Shivam Singh, Alex Warstadt*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-fine-tuning-whisper-across-81/) 6566. [**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/) 6567. [**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/) 6568. [**Focus particles and scalar inferences across humans and language models**Catherine M. Brousse, Nelu D. Radpour*2026*](https://md.research.elamur.ai/free/en/papers/brousse-2026-focus-particles-scalar-inferences-across/) 6569. [**Formalizing the DATASUS RTS: An Ontological Model for a Resource Description Framework Knowledge Graph**Vitor Pires, Dalvan Griebler, Felipe Meneguzzi*2026*](https://md.research.elamur.ai/free/en/papers/pires-2026-formalizing-datasus-rts-ontological-model/) 6570. [**FormosanMT: A Multilingual Parallel Corpus of the Formosan Language Family**Hunter Scheppat, Joshua K. Hartshorne, Sema Koc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/scheppat-2026-formosanmt-multilingual-parallel-corpus-formosan/) 6571. [**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/) 6572. [**Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watson-2026-frame2kg-benchmark-evaluation-toolkit-interpretable/) 6573. [**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/) 6574. [**From Categories to Decisions: A Framework for Attitudinal Analysis of Evaluative Language**Jiamei Zeng, Haitao Wang, Harry Bunt, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeng-2026-categories-decisions-framework-attitudinal-analysis/) 6575. [**From CHAT to Coded CoNLL-U: A Reproducible Pipeline for the Syntactic Annotation and Querying of Child Language Data**Achim Stein*2026*](https://md.research.elamur.ai/free/en/papers/stein-2026-chat-coded-conll-u-reproducible/) 6576. [**From Corpus to Concept Scheme: Developing a SKOS Vocabulary for Armenian Epigraphic Heritage**Hamest Tamrazyan, Kamal Nour, Emanuela Boros*2026*](https://md.research.elamur.ai/free/en/papers/tamrazyan-2026-corpus-concept-scheme-developing-skos/) 6577. [**From Felt Sense to Words: Construction and Analysis of a Focusing Dialogue Dataset for Verbalization**Yuiko Tsunomori, Yuya Chiba, Yosuke Koshikawa*2026*](https://md.research.elamur.ai/free/en/papers/tsunomori-2026-felt-sense-words-construction-analysis/) 6578. [**From Form to Meaning: Interlingua Sense-Alignment of Offensive Language with LLMs**Maria Alexandra Roussopoulou, Stella Markantonatou*2026*](https://md.research.elamur.ai/free/en/papers/roussopoulou-2026-form-meaning-interlingua-sense-alignment/) 6579. [**From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs**Kamyar Zeinalipour, Silvia Severini, Alessia Borghini, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeinalipour-2026-graph-text-back-semantic-fidelity/) 6580. [**From Insights to Impact: Actionable Interpretability for Neural Machine Translation**Gabriele Sarti*2026*](https://md.research.elamur.ai/free/en/papers/sarti-2026-insights-impact-actionable-interpretability-neural/) 6581. [**From Latents to Labels: Zero-Shot Named Entity Recognition using Sparse Autoencoder Features**Nakanyseth Vuth, Gilles Sérasset, Didier Schwab*2026*](https://md.research.elamur.ai/free/en/papers/vuth-2026-latents-labels-zero-shot-named/) 6582. [**From Lemmatization to Legal Terminology: Assessing an Hybrid Pipeline on Justinian's Digest**Paola Marongiu, Eva Sassolini*2026*](https://md.research.elamur.ai/free/en/papers/marongiu-2026-lemmatization-legal-terminology-assessing-hybrid/) 6583. [**From LLM Prompts to Acoustic Baselines: A Scalable Pipeline for Under-Resourced Disfluent Code-Mixed Speech**Anuran Mitra, Anirvan Chakravarty, Tapabrata Mondal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mitra-2026-llm-prompts-acoustic-baselines-scalable/) 6584. [**From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models (从感知到推理：深度思考赋能多模态大语言模型)**Wenxin Zhu (祝文鑫), Andong Chen (陈安东), Yuchen Song (宋宇宸), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-perception-reasoning-deep/) 6585. [**From Propositional to Perceptual Asymmetry: Extending FPO to Asymmetric Partial Information Dialogue**Yifan Zhu, Kyeongmin Rim, James Pustejovsky*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-propositional-perceptual-asymmetry-extending-fpo/) 6586. [**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/) 6587. [**From Syntax to Semantics: Introducing UMR for NLP Annotation**Adriana S. Pagano, Magali Sanches Duran, Federica Gamba*2026*](https://md.research.elamur.ai/free/en/papers/pagano-2026-syntax-semantics-introducing-umr-nlp/) 6588. [**Gaze Behaviour & Conversation Unfolding in the HCRC Map Task Corpus**Anaïs Claire Murat, Carl Vogel*2026*](https://md.research.elamur.ai/free/en/papers/murat-2026-gaze-behaviour-conversation-unfolding-hcrc/) 6589. [**GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems**Xiaocheng Yang, Abdulrahman Alrabah, Dilek Hakkani-Tür, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-gbc-gradient-based-connections-optimizing/) 6590. [**Gender and Politeness Perception: A Novel Approach for Exploring Annotations Disagreement**Ahmad Aljanaideh*2026*](https://md.research.elamur.ai/free/en/papers/aljanaideh-2026-gender-politeness-perception-novel-approach/) 6591. [**Generation of Dialogue Breakdown Repair Utterance in Non-task Oriented Conversation**Kazuya Tsubokura, Yurie Iribe, Norihide Kitaoka*2026*](https://md.research.elamur.ai/free/en/papers/tsubokura-2026-generation-dialogue-breakdown-repair-utterance/) 6592. [**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/) 6593. [**Generative Information Extraction from Biographical Sources**Robin Winkle, Manfred Stede, Jörn Kreutel*2026*](https://md.research.elamur.ai/free/en/papers/winkle-2026-generative-information-extraction-biographical-sources/) 6594. [**GePaDeSE: A New Resource for Clause-Level Aspect in German Parliamentary Debates**Julian Schlenker, Ines Rehbein, Lilly Brauner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schlenker-2026-gepadese-new-resource-clause-level/) 6595. [**GHAD NLP at AdabEval2026: Transformer-Based Approach for Arabic Politeness and Pragmatic Category Classification**Ghada Alfattni, Ghader Kurdi*2026*](https://md.research.elamur.ai/free/en/papers/alfattni-2026-ghad-nlp-adabeval2026-transformer-based/) 6596. [**GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and Generators**Manuel Schaaf, Kevin Bönisch, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/schaaf-2026-ghostwriter-hidden-ai-generated-texts/) 6597. [**GlobLingDiv: A global dataset linking linguistic diversity and digital support to reveal landscapes with under-resourced languages for NLP**Katharina Zeh, Hannes Essfors, Juliane Benson, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeh-2026-globlingdiv-global-dataset-linking-linguistic/) 6598. [**GlossMATE: Multi-Agent Translator Explanations for Glosses**Changbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-glossmate-multi-agent-translator-explanations/) 6599. [**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/) 6600. [**GreekCommonGen: A Benchmark for Evaluating Generative Commonsense Reasoning in Greek**Aristotelis Stamopoulos, Dimitrios Galanis*2026*](https://md.research.elamur.ai/free/en/papers/stamopoulos-2026-greekcommongen-benchmark-evaluating-generative-commonsense/) 6601. [**Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and Hadith**Somaya Eltanbouly, Samer Rashwani*2026*](https://md.research.elamur.ai/free/en/papers/eltanbouly-2026-grounding-arabic-llms-doha-historical/) 6602. [**HalleluBERT: Let Every Token That Has Meaning Bear Its Weight**Raphael Schmitt*2026*](https://md.research.elamur.ai/free/en/papers/schmitt-2026-hallelubert-let-every-token-that/) 6603. [**Harder than Finding the Lost Sheep? Towards Automatically Suggesting Deliberate Metaphor Annotations in German Sermons**Ronja Laarmann-Quante, Stefanie Dipper*2026*](https://md.research.elamur.ai/free/en/papers/quante-2026-harder-than-finding-lost-sheep/) 6604. [**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/) 6605. [**HCMUS_The Fangs at AbjadStyleTransfer Shared Task: Learning to Query Style, Contrastive Representations for Zero-Shot Arabic Authorship Style Transfer**Duy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sy-2026-hcmus-fangs-abjadstyletransfer-shared-task/) 6606. [**Headlines You Won't Forget: Can Pronoun Insertion Increase Memorability?**Selina Meyer, Magdalena Abel, Michael Roth*2026*](https://md.research.elamur.ai/free/en/papers/meyer-2026-headlines-you-won-t-forget/) 6607. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/) 6608. [**HERMeS: Human Evaluation & Ranking of MultiplE Systems**Rex Vanhorn*2026*](https://md.research.elamur.ai/free/en/papers/vanhorn-2026-hermes-human-evaluation-ranking-multiple/) 6609. [**High-Order Question Generation in a Multilingual Educational Context**Suna Seyma Uçar, Itziar Aldabe, Nora Aranberri, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ucar-2026-high-order-question-generation-multilingual/) 6610. [**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/) 6611. [**HistoryBankQA: Multilingual Temporal Question Answering on Historical Events**Biswadip Mandal, Anant Khandelwal, Manish Gupta*2026*](https://md.research.elamur.ai/free/en/papers/mandal-2026-historybankqa-multilingual-temporal-question-answering/) 6612. [**HOTATE: A Japanese Dialogue Corpus Annotated with Responses of Private Thoughts and Public Statements**Yuko Toda, Daisuke Maekawa, Kota Manabe, et al.*2026*](https://md.research.elamur.ai/free/en/papers/toda-2026-hotate-japanese-dialogue-corpus-annotated/) 6613. [**HotelCheckSpan: A Benchmark Dataset for LLM Faithfulness**Patricia Schmidtova, Ondrej Dusek, Saad Mahamood*2026*](https://md.research.elamur.ai/free/en/papers/schmidtova-2026-hotelcheckspan-benchmark-dataset-llm-faithfulness/) 6614. [**How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/) 6615. 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