---
title: "Arts and Humanities — papers, page 82 — Elamur Research"
description: "Arts and Humanities: 9,296 papers of the Elamur Research library · page 82 of 94 · 8026–8125, the most cited first — our summary of each…"
canonical: "https://research.elamur.ai/free/en/shelves/arts-and-humanities/page/82/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/arts-and-humanities/page/82/)

[home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Arts and Humanities](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) / page 82

# 🎭 Arts and Humanities

9,296 papers · page 82 of 94 · 8026–8125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Languages and linguistics, history, philosophy, literature, religion, music and the arts.

## Papers (9,296)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/81/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) … [80](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/80/) [81](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/81/) **82** [83](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/83/) … [90](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/90/) … [94](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/94/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/83/)

8026. [**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/)
8027. [**Breaking the Script: Do Role-Playing Agents Maintain Goal Alignment under Distraction?**Dongxu Lu, Albert Gatt, Johan Jeuring*2026*](https://md.research.elamur.ai/free/en/papers/lu-2026-breaking-script-do-role-playing/)
8028. [**Bridging Attribution and Open-Set Detection using Graph-Augmented Instance Learning in Synthetic Speech**Mohd Mujtaba Akhtar, Girish, Farhan Sheth, et al.*2026*](https://md.research.elamur.ai/free/en/papers/akhtar-2026-bridging-attribution-open-set-detection/)
8029. [**Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMs**Arnav Attri, Anuj Attri*2026*](https://md.research.elamur.ai/free/en/papers/attri-2026-bridging-cognition-affect-emotion-aware/)
8030. [**Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language Models**Nura Aljaafari, Danilo Carvalho, Andre Freitas*2026*](https://md.research.elamur.ai/free/en/papers/aljaafari-2026-bridging-linguistic-structure-mechanistic-interpretability/)
8031. [**Bridging the English-Arabic Medical Knowledge Gap: Targeted Low-Rank Adaptation via Causal Layer Selection**Chaimae Abouzahir, Musa Khan, Hala Ali-Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abouzahir-2026-bridging-english-arabic-medical-knowledge/)
8032. [**Bridging the Gap between Ontologies and Dictionaries: Requirements and Implementation of a New Core for OntoLex-Lemon**John P. McCrae, Jorge Gracia, Fahad Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mccrae-2026-ontolex-new-core/)
8033. [**Bringing Mapudungun into the Modern MT Ecosystem: Morphology-Aware Tokenization for NLLB-200 Fine-Tuning**Isaac Thompson, Brandon Rogers, Eric Ringger*2026*](https://md.research.elamur.ai/free/en/papers/thompson-2026-bringing-mapudungun-into-modern-mt/)
8034. [**Building Collaborative Speech Corpora for Low-Resource Languages: The Galician Dataset in Mozilla Common Voice**Adina Ioana Vladu, Elisa Fernández Rei, María Pérez Lago*2026*](https://md.research.elamur.ai/free/en/papers/vladu-2026-building-collaborative-speech-corpora-low/)
8035. [**CAIT: A Syntactic Parsing Toolkit for Child–Adult InTeractions**Francesca Padovani, Xiulin Yang, Bastian Bunzeck, et al.*2026*](https://md.research.elamur.ai/free/en/papers/padovani-2026-cait-syntactic-parsing-toolkit-child/)
8036. [**CAKT-Agent: A Context-Adaptive Knowledge Tracing Agent Based on MoE (CAKT-Agent：基于MoE的情境自适应知识追踪智能体)**Jiaqi Long (龙佳琪), Suojuan Zhang (张所娟), Wenning Hao (郝文宁), et al.*2026*](https://md.research.elamur.ai/free/en/papers/long-2026-cakt-agent-context/)
8037. [**Can a Remedy Find a Researcher? Exploring the Development of Semantic Knowledge in Italian BabyLMs**Alice Suozzi, Luca Capone, Gianluca Lebani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/suozzi-2026-can-remedy-find-researcher-exploring/)
8038. [**Can Emotions Signal Gender? Investigating Implicit Cues in Human and LLM Translations of Amazon Reviews**Shushen Manakhimova, Ekaterina Lapshinova-Koltunski*2026*](https://md.research.elamur.ai/free/en/papers/manakhimova-2026-can-emotions-signal-gender-investigating/)
8039. [**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/)
8040. [**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/)
8041. [**Can You Be More Explicit? A Task and Dataset on Explicitations of Implicit Meaning**Laura Zeidler, Michael Roth*2026*](https://md.research.elamur.ai/free/en/papers/zeidler-2026-can-you-be-more-explicit/)
8042. [**CANDLE: CTC-based Arabic Noisy-character Deduplication using a Lightweight Encoder**Faris Alasmary, Taif Nono, Orjuwan Zaafarani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alasmary-2026-candle-ctc-based-arabic-noisy/)
8043. [**CANVAS: A Multimodal Dataset of Chinese Textbook Images for Bias and Representation Analysis**Haotian Zhu, Kefan Yu, Min Li*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-canvas-multimodal-dataset-chinese-textbook/)
8044. [**CATS: An Annotation Scheme of Causality and Temporal Structure**Nana Yu, Purificação Silvano, Luís Filipe Cunha, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yu-2026-cats-annotation-scheme-causality-temporal/)
8045. [**Causal Inferences Are Driven by Noun Concept Specificity Evidence from Self-Paced Reading and Large Language Model Surprisal**Fabian Schlotterbeck, Raphael Barth*2026*](https://md.research.elamur.ai/free/en/papers/schlotterbeck-2026-causal-inferences-are-driven-noun/)
8046. [**Character Iconicity vs. Arbitrariness: An Arabic NLP Perspective**Dorieh Alomari; Irfan Ahmad;, Maged S. Al-shaibani*2026*](https://md.research.elamur.ai/free/en/papers/alomari-2026-character-iconicity-vs-arbitrariness-arabic/)
8047. [**Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans**Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney*2026*](https://md.research.elamur.ai/free/en/papers/ramarao-2026-character-aware-transformers-learn-irregular/)
8048. [**Child-directed speech facilitates production, not comprehension, in BabyLMs**Bastian Bunzeck, Sina Zarrieß*2026*](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/)
8049. [**ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition**Jiaming Zhou, Yujie Guo, Shiwan Zhao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/)
8050. [**Chinese Coreference Corpus from Verb-Driven Events and Its Application for LLM Evaluation (动词驱动事件的共指关系中文语料库构建及大模型评测)**Haoze Wang (王皓泽), Xin Xin (辛欣)*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-chinese-coreference-corpus/)
8051. [**ChineseDevBench: A Chinese Developmental Benchmark for Language Development**Shaonan Wang, Yiwen Wu, Na Li, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-chinesedevbench-chinese-developmental-benchmark-language/)
8052. [**CoBra: A Compound Branching Resource for Nominal Triconstituent Compounds in English and German**Carmen Schacht, Isabell Landwehr, Diana Davidson, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schacht-2026-cobra-compound-branching-resource-nominal/)
8053. [**Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks**Claire Hobbs, R. Thomas McCoy*2026*](https://md.research.elamur.ai/free/en/papers/hobbs-2026-collocational-bootstrapping-hypothesis-about-learning/)
8054. [**Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs**Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-common-sense-vs-morality-curious/)
8055. [**Commonsense Plausibility Estimation Based on Pretrained Models: A Survey (基于预训练模型的文本常识合理性估计研究综述)**Wanqing Cui (崔莞清), Keping Bi (毕可平), Jiafeng Guo (郭嘉丰), et al.*2026*](https://md.research.elamur.ai/free/en/papers/cui-2026-commonsense-plausibility-estimation/)
8056. [**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/)
8057. [**Completing and Validating the Re-Aligned Switchboard Dialog Act Corpus**Run Chen, Zihao Tao, John Prado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chen-2026-completing-validating-re-aligned-switchboard/)
8058. [**Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies**Rémy Marro*2026*](https://md.research.elamur.ai/free/en/papers/marro-2026-compositional-meaning-representations-llms-critical/)
8059. [**Compression-based Language Complexity under Register Variation in Portuguese**Felipe Ribas Serras, Marcelo Finger*2026*](https://md.research.elamur.ai/free/en/papers/serras-2026-compression-based-language-complexity-under/)
8060. [**Conceptualising love in Amharic**Aleksander Kacprzak*2026*](https://md.research.elamur.ai/free/en/papers/kacprzak-2026-conceptualising-love-amharic/)
8061. [**ConGA: Guidelines for Contextual Gender Annotation. a Framework for Annotating Gender in Machine Translation**Argentina Anna Rescigno, Eva Vanmassenhove, Johanna Monti*2026*](https://md.research.elamur.ai/free/en/papers/rescigno-2026-conga-guidelines-contextual-gender-annotation/)
8062. [**Consistency of LLMs to Comparative Statements in Mathematical Reasoning Tasks**Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/san-2026-consistency-llms-comparative-statements-mathematical/)
8063. [**Constrained CTC Decoding for Efficient Diacritic Restoration**Rufael Marew, Amr Keleg, Hanan Aldarmaki*2026*](https://md.research.elamur.ai/free/en/papers/marew-2026-constrained-ctc-decoding-efficient-diacritic/)
8064. [**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/)
8065. [**Construction of Japanese Prefectural Assembly Minutes Datasets across Three Electoral Terms: Comparative Analysis of 2011, 2015, and 2019 Four-Year Periods**Keiichi Takamaru, Hokuto Ototake, Yuzu Uchida, et al.*2026*](https://md.research.elamur.ai/free/en/papers/takamaru-2026-construction-japanese-prefectural-assembly-minutes/)
8066. [**Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation**Dongyue Wang, Kyo Kageura*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-context-8-data-set-evaluating/)
8067. [**Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection**Afroza Nowshin, Prithweeraj Acharjee Porag, Haziq Jeelani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nowshin-2026-context-aware-dialectal-arabic-machine/)
8068. [**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/)
8069. [**Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources**Michele Papucci, Giulia Venturi, Felice Dell'Orletta*2026*](https://md.research.elamur.ai/free/en/papers/papucci-2026-controllable-sentence-simplification-italian-fine/)
8070. [**CONVERSE: Annotation Scheme and Dataset for Multimodal Conversational Engagement Analysis in Human-Human and Human-Robot Interaction**Ekaterina Torubarova, Oskar Ljung, Julia Uddén, et al.*2026*](https://md.research.elamur.ai/free/en/papers/torubarova-2026-converse-annotation-scheme-dataset-multimodal/)
8071. [**Coordination of unmatched clause types and dynamic look-ahead**Peter Lasersohn*2026*](https://md.research.elamur.ai/free/en/papers/lasersohn-2026-coordination-unmatched-clause-types-dynamic/)
8072. [**COPECO-Speech: Multimodal Post-Editing with Speech and LLMs for Translation Teaching**Jeevanthi Liyanapathirana, Pierrette Bouillon, Jonathan Mutal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liyanapathirana-2026-copeco-speech-multimodal-post-editing/)
8073. [**Corpora Generation for Urdu Grammatical Error Correction**Syed Ahad, Burhanuddin Aliasghar Ezzi, Muhammad Arsalan Hussain, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ahad-2026-corpora-generation-urdu-grammatical-error/)
8074. [**Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced Resumes**Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.*2026*](https://md.research.elamur.ai/free/en/papers/loizidou-2026-corpus-baselines-distinguishing-authentic-ai/)
8075. [**Corruption-Based Data Augmentation for Arabic Essay Scoring: A Preliminary Study on the Organization Trait**May Saed Bashendy, Tamer Elsayed*2026*](https://md.research.elamur.ai/free/en/papers/bashendy-2026-corruption-based-data-augmentation-arabic/)
8076. [**CorSpell: Introducing a Semiautomatic Tool for Spelling Normalization in Brazilian Portuguese**Juliana Schoffen, Dennis Giovani Balreira, Elisa Marchioro Stumpf, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schoffen-2026-corspell-introducing-semiautomatic-tool-spelling/)
8077. [**CPQD: A Chinese Poetry Quotation Dataset for Enhancing the Literary Expressiveness of Large Language Models (CPQD: 用于提升大语言模型文学表现力的中文诗词引用数据集)**Yahao Hu (胡亚豪), Lei Xu (徐磊), Zhisong Pan (潘志松), et al.*2026*](https://md.research.elamur.ai/free/en/papers/hu-2026-cpqd-chinese-poetry/)
8078. [**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/)
8079. [**Creation and Validation of a Monolingual Spanish NLI Dataset for Metaphor Interpretation via Model-in-the-Loop**Alec Sanchez-Montero, Gemma Bel-Enguix, Sergio Luis Ojeda Trueba*2026*](https://md.research.elamur.ai/free/en/papers/montero-2026-creation-validation-monolingual-spanish-nli/)
8080. [**CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps**Jungmin Yun, June Hyoung Kwon, Youngbin Kim*2026*](https://md.research.elamur.ai/free/en/papers/yun-2026-crit-qa-evaluating-multi-hop/)
8081. [**Cross-Corpus CEFR Classification through Artificial Learners Perplexities**Bernardo Stearns, John P. McCrae, Thomas Gaillat*2026*](https://md.research.elamur.ai/free/en/papers/stearns-2026-cross-corpus-cefr-classification-through/)
8082. [**Cross-Dialectal Transfer for Low-Resource Arabic: The Tunisian Arabic Dependency Treebank**Amal Aissaoui*2026*](https://md.research.elamur.ai/free/en/papers/aissaoui-2026-cross-dialectal-transfer-low-resource/)
8083. [**Cross-Lingual and Cross-Cultural Transfer of Talk Move Classification to German Science Classrooms**Christian Wartena, Christian Schumburg, Andreas Nehring, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wartena-2026-cross-lingual-cross-cultural-transfer/)
8084. [**Cross-lingual Lexical Semantic Change in Romance Languages**Ana Sabina Uban, Liviu P Dinu, Anca Daniela Dinu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/uban-2026-cross-lingual-lexical-semantic-change/)
8085. [**CrossOracle: An Agentic Framework for Real-Time Expert Personas with Parallelized Acoustic Synthesis**Yash Raj Singh*2026*](https://md.research.elamur.ai/free/en/papers/singh-2026-crossoracle-agentic-framework-real-time/)
8086. [**Crowdsourcing Piedmontese to Test LLMs on Non-Standard Orthography**Gianluca Vico, Jindřich Libovický*2026*](https://md.research.elamur.ai/free/en/papers/vico-2026-crowdsourcing-piedmontese-test-llms-non/)
8087. [**CS-YODAS: A Mined Dataset of In-the-Wild Code-Switched Speech**Brian Yan, Qingzheng Wang, Matthew Wiesner, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-cs-yodas-mined-dataset-wild/)
8088. [**Cultural and Knowledge Biases in LLMs through the Lens of Entity-Aware Machine Translation**Lu Xu, Luca Moroni, Roberto Navigli*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-cultural-knowledge-biases-llms-through/)
8089. [**Curriculum Learning and Pseudo-Labeling Improve the Generalization of Multi-Label Arabic Dialect Identification Models**Ali Mekky, Mohamed El Zeftawy, Lara Hassan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mekky-2026-curriculum-learning-pseudo-labeling-improve/)
8090. [**DAMETA: An LLM Benchmark for Danish Metaphor Interpretation with Systematically Varied Distractors**Nina Skovgaard Schneidermann, Sanni Nimb, Nathalie Carmen Hau Norman, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schneidermann-2026-dameta-llm-benchmark-danish-metaphor/)
8091. [**Data-Centric Approach at the LoResMT 2026 Turkic Translation Challenge: Russian-Kyrgyz**Dmitry Novokshanov*2026*](https://md.research.elamur.ai/free/en/papers/novokshanov-2026-data-centric-approach-loresmt-2026/)
8092. [**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/)
8093. [**Degree Zero of Translation: Using Interlinear Baselines to Quantify Translator Intervention**Maciej Rapacz, Aleksander Smywiński-Pohl*2026*](https://md.research.elamur.ai/free/en/papers/rapacz-2026-degree-zero-translation-interlinear-baselines/)
8094. [**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/)
8095. [**Detecting Experiential Intertextuality Across Migration Routes: Beyond Surface Similarity in French Narratives**Sakayo Toadoum Sari, Nelly Robin, Michelle Auzanneau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sari-2026-detecting-experiential-intertextuality-across-migration/)
8096. [**Detecting Hallucinations in Authentic LLM–Human Interactions**Yujie Ren, Niklas Gruhlke, Anne Lauscher*2026*](https://md.research.elamur.ai/free/en/papers/ren-2026-detecting-hallucinations-authentic-llm-human/)
8097. [**Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark**Yu Wu, Ke Shu, Jonas Fischer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-detecting-latin-historical-books-large/)
8098. [**Determinants of Hesitations and Repetitions in Hindi Spontaneous Speech**Eashani Sharma, Ishita Arun, Samar Husain*2026*](https://md.research.elamur.ai/free/en/papers/sharma-2026-determinants-hesitations-repetitions-hindi-spontaneous/)
8099. [**Developing a Guideline for the Labovian-Structural Analysis of Oral Narratives in Japanese**Amane Watahiki, Tomoki Doi, Akari Kikuchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/watahiki-2026-developing-guideline-labovian-structural-analysis/)
8100. [**Developing A Hawaiian Corpus Toolkit for Data-Driven Language Learning**Joseph Winkie, Michol Miller, Winston Wu*2026*](https://md.research.elamur.ai/free/en/papers/winkie-2026-developing-hawaiian-corpus-toolkit-data/)
8101. [**Developing Zila: A Spoken Language Resource for the Endangered Slovenian Gail Valley Dialect**Andrej Zgank, Gregor Donaj, Urh Kolaric, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zgank-2026-developing-zila-spoken-language-resource/)
8102. [**Development of an Arabic Grammar Instructional Medium Based on Illustrated Stories in Elementary School**Siti Nurhayati Solihah, Moch Mu'izzuddin, Ahmad Habibi Syahid, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solihah-2026-development-arabic-grammar-instructional-medium/)
8103. [**DevLake at LoResMT 2026: The Impact of Pre-training and Model Scale on Russian-Bashkir Low-Resource Translation**Vyacheslav Tyurin*2026*](https://md.research.elamur.ai/free/en/papers/tyurin-2026-devlake-loresmt-2026-impact-pre/)
8104. [**Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation**Ji Hun Wang, Siyu Wu*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-diagnose-then-repair-two-stage/)
8105. [**Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite**Klaudia Thellmann, Bernhard Stadler, Michael Färber*2026*](https://md.research.elamur.ai/free/en/papers/thellmann-2026-diagnosing-translated-benchmarks-automated-quality/)
8106. [**Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual Data**Christian Schuler, Raman Ahmad, Ānrán Wáng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schuler-2026-dialectal-filtering-synthesizing-kurdish-corpora/)
8107. [**DialogueSidon: Recovering Full-Duplex Dialogue Tracks from In-the-Wild Dialogue Audio**Wataru Nakata, Yuki Saito, Kazuki Yamauchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nakata-2026-dialoguesidon-recovering-full-duplex-dialogue/)
8108. [**DIDECO: An Annotated Dataset for Intent Detection in Digital Communications**Senaid Popovic, Damien Riquet, Maxime Meyer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/popovic-2026-dideco-annotated-dataset-intent-detection/)
8109. [**Diff4TST: Masked Diffusion Language Model for Text Style Transfer**Xinchen Ma, Gaole He, Yunshi Lan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-diff4tst-masked-diffusion-language-model/)
8110. [**DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents**Tianyi Zhang, Mousumi Das, Abrar Anwar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-dips-dialogue-policy-selection-high/)
8111. [**Discourse Structure Variation for Large Language Model Evaluation in Text Simplification (大模型文本简化的篇章结构变化分析与评测)**Junhui Zhu (朱君辉), Erhong Yang (杨尔弘), Haonan Zhu (朱浩楠), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-discourse-structure-variation/)
8112. [**Disentangling Annotator Skill from Verifier Strictness in Cross-Verified Dialogue Annotation**Zihao Tao, John A. Prado, Ignazio Steven LaManna, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tao-2026-disentangling-annotator-skill-verifier-strictness/)
8113. [**Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains**Dimitar Shterionov, Noa van Helleman, Eva Vanmassenhove*2026*](https://md.research.elamur.ai/free/en/papers/shterionov-2026-diversity-homogenisation-generative-ai-translation/)
8114. [**Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)
8115. [**Do I know what I want to say? Modeling meaning uncertainty in RSA**Anzi Wang, Carolyn Jane Anderson, Grusha Prasad*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-do-i-know-what-i/)
8116. [**Do Lexical and Contextual Coreference Resolution Systems Degrade Differently under Mention Noise? An Empirical Study on Scientific Software Mentions**Atilla Kaan Alkan, Felix Grezes, Jennifer Lynn Bartlett, et al.*2026*](https://md.research.elamur.ai/free/en/papers/alkan-2026-do-lexical-contextual-coreference-resolution/)
8117. [**Do LLMs Use Relational Structure in KG-Grounded Dialogue? Evidence from Entity and Relation Perturbation**Dominic Okonkwo, Ismailcem Budak Arpinar*2026*](https://md.research.elamur.ai/free/en/papers/okonkwo-2026-do-llms-use-relational-structure/)
8118. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)
8119. [**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/)
8120. [**Domain-Aware Error Correction for Citation NER in Medieval Hebrew Responsa**Shmuel LIebeskind, Maayan Zhitomirsky-Geffet, Binyamin Katzoff, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liebeskind-2026-domain-aware-error-correction-citation/)
8121. [**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/)
8122. [**DRInQ: Evaluating Conversational Implicature with Controlled Context Variation**Hirona Jacqueline Arai, Xiang Ren*2026*](https://md.research.elamur.ai/free/en/papers/arai-2026-drinq-evaluating-conversational-implicature-controlled/)
8123. [**DS@GT ARC at CheckThat! 2026: LLM-Based Trace Ranking and Grouped Reward Modeling for Multilingual Numerical Claim Verification**Sagnik Sinha, Shreyas Shrestha*2026*](https://md.research.elamur.ai/free/en/papers/sinha-2026-ds-gt-arc-checkthat-2026/)
8124. [**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/)
8125. [**Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation**Luke Zhang, Justin Vasselli, Aditya Khan, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhang-2026-dynamic-meta-metrics-source-sentence/)

[← prev](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/81/) [1](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) … [80](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/80/) [81](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/81/) **82** [83](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/83/) … [90](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/90/) … [94](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/94/) [next →](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/page/83/)