---
title: "Artificial Intelligence — papers, page 87 — Elamur Research"
description: "Artificial Intelligence: 8,885 papers of the Elamur Research library · page 87 of 90 · 8526–8625, the most cited first — our summary of each…"
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# 🤖 Artificial Intelligence

8,885 papers · page 87 of 90 · 8526–8625 · 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 (8,885)

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8526. [**The Surge of Anti-Semitism in German Social Media following the October 7 Attacks**Gregor Wiedemann, Daniel Wehrend*2026*](https://md.research.elamur.ai/free/en/papers/wiedemann-2026-surge-anti-semitism-german-social/)
8527. [**ThinkStruct: RST-Aware Attention for Logical Reasoning in Machine Reading Comprehension**Nhi Thao Tran, Tien Le, Toan Pham, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tran-2026-thinkstruct-rst-aware-attention-logical/)
8528. [**Tigrinya Number Verbalization: Rules, Algorithm, and Implementation**Fitsum Gaim, Issayas Tesfamariam*2026*](https://md.research.elamur.ai/free/en/papers/gaim-2026-tigrinya-number-verbalization-rules-algorithm/)
8529. [**Time-for-Accuracy: Formalizing Chain-of-Thought as an Expansion of Logical Depth**Yue Wang, Zhi Zhang, Wang Xi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-time-accuracy-formalizing-chain-thought/)
8530. [**To Overfit or Not to Overfit? An Evaluation of HTR Workflow on 17Th-18Th Century French Corpus**Marine Tiger*2026*](https://md.research.elamur.ai/free/en/papers/tiger-2026-overfit-or-not-overfit-evaluation/)
8531. [**To Skip, to Swap or to Not Swap? Identifying Step Transition Types in Instructional Manuals**Hsiu-Yu Yang, Michael Roth, Andreas Bulling, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-skip-swap-or-not-swap/)
8532. [**To Write or to Automate Linguistic Prompts, That Is the Question**Marina Sánchez-Torrón, Daria Akselrod, Jason Rauchwerk*2026*](https://md.research.elamur.ai/free/en/papers/torron-2026-write-or-automate-linguistic-prompts/)
8533. [**ToneSwiper: Facilitating Manual ToDI-annotation of Dutch Prosody**Matthijs Westera, Ariëlle Reitsema*2026*](https://md.research.elamur.ai/free/en/papers/westera-2026-toneswiper-facilitating-manual-todi-annotation/)
8534. [**Topic-context Dependency on Continuous Semantic Reconstruction of Language from fMRI Signals**Fermin Travi, Agustin Delmagro, Diego Fernandez Slezak, et al.*2026*](https://md.research.elamur.ai/free/en/papers/travi-2026-topic-context-dependency-continuous-semantic/)
8535. [**Topic-Initiator: A Proactive Chatbot with Personalized Topic RAG for Enhancing Willingness to Converse**Kazuya Matsuo, Atsushi Otsuka, Narichika Nomoto, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matsuo-2026-topic-initiator-proactive-chatbot-personalized/)
8536. [**Toward Cognitive Alignment in Large Language Models: Integrating Linguistic Theory and Human Data**Wajdi Zaghouani*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-cognitive-alignment-large-language-models/)
8537. [**Toward Equitable Machine Translation for Atypical Speech: An LLM Post-Correction Approach**Grace Pasion, Ammon Shurtz, Stephen D. Richardson*2026*](https://md.research.elamur.ai/free/en/papers/pasion-2026-equitable-machine-translation-atypical-speech/)
8538. [**Towards Corpus-Based Population and Visualization of ISO 24617-8 Ontology (Short Paper)**Maciej Ogrodniczuk, Dariusz Czerski*2026*](https://md.research.elamur.ai/free/en/papers/ogrodniczuk-2026-corpus-based-population-visualization-iso/)
8539. [**Towards Expectation Detection in Language: A Case Study on Treatment Expectations in Reddit**Aswathy Velutharambath, Amelie Wührl*2026*](https://md.research.elamur.ai/free/en/papers/velutharambath-2026-expectation-detection-language-case-study/)
8540. [**Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated Neurons**Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago*2026*](https://md.research.elamur.ai/free/en/papers/munoz-2026-reliable-ai-fairness-challenges-steering/)
8541. [**Towards Robust Arabic Speech Emotion Recognition with Deep Learning**Youcef Soufiane Gheffari, Samiya Silarbi*2026*](https://md.research.elamur.ai/free/en/papers/gheffari-2026-towards-robust-arabic-speech-emotion/)
8542. [**Toxic Subword Pruning for Dialogue Response Generation on Large Language Models**Hongyuan Adam Lu, Wai Lam*2026*](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/)
8543. [**TRACER: Early Failure Detection for Task-Oriented Dialogue**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-tracer-early-failure-detection-task/)
8544. [**TrAinMR: an Annotator Training Website for Abstract Meaning Representation**Mina Yang, Shira Wein*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-trainmr-annotator-training-website-abstract/)
8545. [**Transcription Accuracy in the Icelandic Gigaword Corpus: Evaluating Automatic and Manual Annotation**Johanna Mechler, Lilja Björk Stefánsdóttir, Anton Karl Ingason*2026*](https://md.research.elamur.ai/free/en/papers/mechler-2026-transcription-accuracy-icelandic-gigaword-corpus/)
8546. [**Transfer Learning for Creole TTS: A Pilot Study on Whether Substrate Phonologies or Lexifier Vocabularies Matter More**Emmett Strickland, Marc Evrard, Valentina Fedchenko*2026*](https://md.research.elamur.ai/free/en/papers/strickland-2026-transfer-learning-creole-tts-pilot/)
8547. [**Transformer Attention as a Unified Model of Encoding and Retrieval in Human Sentence Processing**Dan Parker*2026*](https://md.research.elamur.ai/free/en/papers/parker-2026-transformer-attention-as-unified-model/)
8548. [**Translation as Augmentation: Effect of Translated Data on Assessment of Difficulty**Yiheng Wu, Jue Hou, Roman Yangarber*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-translation-as-augmentation-effect-translated/)
8549. [**Translation from the Information Bottleneck Perspective: an Efficiency Analysis of Spatial Prepositions in Bitexts**Antoine Taroni, Ludovic Moncla, Frederique Laforest*2026*](https://md.research.elamur.ai/free/en/papers/taroni-2026-translation-information-bottleneck-perspective-efficiency/)
8550. [**Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation**Tabia Tanzin Prama, Juniper L Lovato, Chris Danforth, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prama-2026-translation-cot-human-inspired-chain/)
8551. [**Translators' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation**Jeniffer Leal-Wyss, Gabriel Bernier-Colborne, Delaney Lothian, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wyss-2026-translators-perceptions-edit-traces-quality/)
8552. [**Tree-Based Interview Topic Guidance for Collecting Target Information under Adaptive Topic continuation/switching**Fuminori Nagasawa, Ekai Hashimoto, Shun Shiramatsu*2026*](https://md.research.elamur.ai/free/en/papers/nagasawa-2026-tree-based-interview-topic-guidance/)
8553. [**Trustworthy NLP for Low-Resource Languages: Agent-Based Uncertainty Modeling for Hebrew Radiology Report Structuring**Hadas Ben Atya, Naama Gavrielov, Zvi Badash, et al.*2026*](https://md.research.elamur.ai/free/en/papers/atya-2026-trustworthy-nlp-low-resource-languages/)
8554. [**TryggLLM: A Benchmark for Evaluating LLM Safety in Norwegian**Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen*2026*](https://md.research.elamur.ai/free/en/papers/touileb-2026-tryggllm-benchmark-evaluating-llm-safety/)
8555. [**TTLab at Daleel 2026: STAR-Ar, Sequence Tagging for Argument Recognition in Arabic**Bhuvanesh Verma, Ali Abusaleh, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/verma-2026-ttlab-daleel-2026-star-ar/)
8556. [**TTLab at StanceEval-2026: A Cloze-Style Prompting Approach for Arabic-Language Stance Detection (CLASP-Ar)**Bhuvanesh Verma, Ali Abusaleh, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/verma-2026-ttlab-stanceeval-2026-cloze-style/)
8557. [**TTSVowelViz: A Tool for Visualising Text-to-Speech Model Training via Vowel Spaces**Pasindu Udawatta, Jesin James, Balamurali B T, et al.*2026*](https://md.research.elamur.ai/free/en/papers/udawatta-2026-ttsvowelviz-tool-visualising-text-speech/)
8558. [**TutlAit v1: a crowdsourced Moroccan Tamazight speech dataset with Arabic transcriptions and regional accent labels**Mohamed-Amine Chadi, Ezzahra Ait El Arbi, Ismail Khayoub, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chadi-2026-tutlait-v1-crowdsourced-moroccan-tamazight/)
8559. [**Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes**Quintin Myers, Yanjun Gao*2026*](https://md.research.elamur.ai/free/en/papers/myers-2026-uncovering-hidden-violent-tendencies-llms/)
8560. [**Uncovering Ideological Bias in RAG with Lexical Multidimensional Analysis: A Case Study on COVID-19**Elmira Salari, Maria Claudia Nunes Delfino, Hazem Amamou, et al.*2026*](https://md.research.elamur.ai/free/en/papers/salari-2026-uncovering-ideological-bias-rag-lexical/)
8561. [**Under the Surface: Probing Tamil Paraphrase Intelligence**Viswadarshan R R, Dr. J. Felicia Lilian, Mahalakshmi S*2026*](https://md.research.elamur.ai/free/en/papers/r-2026-under-surface-probing-tamil-paraphrase/)
8562. [**Understanding the Sociocultural Dimensions of Mental Health Discourse in Arabic-Language X Communities**Amal Alqahtani, Rana Salama, Mona Diab*2026*](https://md.research.elamur.ai/free/en/papers/alqahtani-2026-understanding-sociocultural-dimensions-mental-health-discourse/)
8563. [**University Speaking for Everyone: Assessing Changes in Italian Higher Education Statutes toward Gender-Inclusive Language**Sebastiano Vecellio Salto, Camilla Casula, Alessio Palmero Aprosio, et al.*2026*](https://md.research.elamur.ai/free/en/papers/salto-2026-university-speaking-everyone-assessing-changes/)
8564. [**Using BERT to Explore Lexical Semantic Change of Prepositions**Liudmila Radchankava, Vasily Konovalov*2026*](https://md.research.elamur.ai/free/en/papers/radchankava-2026-bert-explore-lexical-semantic-change/)
8565. [**Variation Is the Norm: Embracing Sociolinguistics in NLP**Anne-Marie Lutgen, Alistair Plum, Verena Blaschke, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lutgen-2026-variation-is-norm-embracing-sociolinguistics/)
8566. [**ViMedCSS: A Vietnamese Medical Code-Switching Speech Dataset & Benchmark**Tung X. Nguyen, Nhu Vo, Giang-Son Nguyen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vimedcss-vietnamese-medical-code-switching/)
8567. [**Voice Activation Detection for Transcription of Indigenous Languages**Rolando Coto-Solano, Mikaela Browning, Thomas Corrado, et al.*2026*](https://md.research.elamur.ai/free/en/papers/solano-2026-voice-activation-detection-transcription-indigenous/)
8568. [**VUPMC: A New Political Metaphor Corpus in Mandarin Chinese**Xiaojuan Tan*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-vupmc-new-political-metaphor-corpus/)
8569. [**What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience**Filip Miletić, Neele Falk*2026*](https://md.research.elamur.ai/free/en/papers/miletic-2026-what-are-llms-doing-scientific/)
8570. [**What Brain Data Adds to Language Model Training**Gabriele Merlin, Omer Moussa, Mariya Toneva*2026*](https://md.research.elamur.ai/free/en/papers/merlin-2026-what-brain-data-adds-language/)
8571. [**What Kind of Language is Easy to Language-Model Under Curriculum Learning?**Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe*2026*](https://md.research.elamur.ai/free/en/papers/naggar-2026-what-kind-language-is-easy/)
8572. [**What's in a Bridge?: A Descriptive, Multi-Genre Analysis of the GUMBridge Corpus for Varieties of Bridging Anaphora**Lauren Levine, Amir Zeldes*2026*](https://md.research.elamur.ai/free/en/papers/levine-2026-what-s-bridge-descriptive-multi/)
8573. [**When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation**Thibault Prouteau, Francis Lareau, Nicolas Dugue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/prouteau-2026-when-numbers-tell-half-story/)
8574. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/)
8575. [**When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/)
8576. [**When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue**Mohammad Alijanpour Shalmani, Alale Rezvani Boroujeni, Jiann S. Yuan*2026*](https://md.research.elamur.ai/free/en/papers/shalmani-2026-when-database-fails-prompting-llm/)
8577. [**When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/)
8578. [**When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms**Adib Sakhawat, Shamim Ara Parveen, Md Ruhul Amin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sakhawat-2026-when-words-don-t-mean/)
8579. [**Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models**Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/)
8580. [**Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/)
8581. [**Whose Pragmatics? Cultural Grounding as a Bottleneck for Stereotype Detection in Egyptian Arabic Social Media**Samar A. Assem*2026*](https://md.research.elamur.ai/free/en/papers/assem-2026-whose-pragmatics-cultural-grounding-as/)
8582. [**Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation**Shenbin Qian, Yves Scherrer*2026*](https://md.research.elamur.ai/free/en/papers/qian-2026-why-do-large-language-models/)
8583. [**Wiktionary as a Crowdsourced Lexicon for English Dialects**Sidney Wong*2026*](https://md.research.elamur.ai/free/en/papers/wong-2026-wiktionary-crowdsourced-lexicon-english-dialects/)
8584. [**Word predictability estimates from language models are not robust to tokenizer vocabulary**Kien Nguyen, Suhas Arehalli*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-word-predictability-estimates-language-models/)
8585. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)
8586. [**Yeswa-Stories: A Three-Way Parallel Dataset of Female African Figures in Low-Web Data Languages**Bethelhem Mamo, Hellina Nigatu*2026*](https://md.research.elamur.ai/free/en/papers/mamo-2026-yeswa-stories-three-way-parallel/)
8587. [**ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/)
8588. [**“Decode the Law”: Towards Legal Text Simplification with Large Language Models**Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/)
8589. [**A New Hebrew Universal Dependency Treebank: The First Treebank of Post-Rabbinic Historical Hebrew**Rachel Tal, Shlomit Fuchs, Orly Albeck, et al.*2025*](https://md.research.elamur.ai/free/en/papers/tal-2025-new-hebrew-universal-dependency-treebank/)
8590. [**A Survey of Semantic Representation Methods for Natural Language Understanding (面向自然语言理解的语义表示方法综述)**Xiang Zhang (张翔), Shizhu He (何世柱), Yuanzhe Zhang (张元哲), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-semantic-representation-methods/)
8591. [**A Survey of Simultaneous Translation (实时翻译研究综述)**Shaolei Zhang (张绍磊), Yang Feng (冯洋)*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-simultaneous-translation/)
8592. [**A Synergetic LLM-KG Framework for Cross-Domain Heterogeneous Data Query (大语言模型和知识图谱协同的跨域异质数据查询框架)**Wenlong Wu (吴文隆), Hailian Yin (尹海莲), Ning Wang (王宁), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-synergetic-llm-kg/)
8593. [**A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer Generation**Kesen Wang, Daulet Toibazar, Pedro J. Moreno*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-sea3l-qa-fully-automated-self/)
8594. [**AI-Driven Generation of Old English: A Framework for Low-Resource Languages**Rodrigo Gabriel Salazar Alva, Matias Nunez, Cristian Lopez, et al.*2025*](https://md.research.elamur.ai/free/en/papers/alva-2025-ai-driven-generation-old-english/)
8595. [**ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text Detection**Ali Khairallah, Arkaitz Zubiaga*2025*](https://md.research.elamur.ai/free/en/papers/khairallah-2025-alhd-large-scale-multigenre-benchmark/)
8596. [**An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究)**Zhengfei Xu (徐正斐), Xin Xin (辛欣)*2025*](https://md.research.elamur.ai/free/en/papers/xu-2025-empirical-study-chinese/)
8597. [**An Information-Theoretic Approach to Identifying Formulaic Clusters in Textual Data**Gideon Yoffe, Yair Segev, Barak Sober*2025*](https://md.research.elamur.ai/free/en/papers/yoffe-2025-information-theoretic-approach-identifying-formulaic/)
8598. [**Annotating the French Wiktionary with supersenses for large scale lexical analysis: a use case to assess form-meaning relationships within the nominal lexicon**Nicolas Angleraud, Lucie Barque, Marie Candito*2025*](https://md.research.elamur.ai/free/en/papers/angleraud-2025-french-wiktionary-supersenses/)
8599. [**Arabic Hate Speech Identification and Masking in Social Media using Deep Learning Models and Pre-trained Models Fine-tuning**Salam Thabet Doghmash, Motaz Saad*2025*](https://md.research.elamur.ai/free/en/papers/doghmash-2025-arabic-hate-speech-identification-masking/)
8600. [**Arabic Metaphor Sentiment Classification Using Semantic Information**Israa Alsiyat*2025*](https://md.research.elamur.ai/free/en/papers/alsiyat-2025-arabic-metaphor-sentiment-classification-using/)
8601. [**AraToken: Optimizing Arabic Tokenization with Normalization Pipeline and Language Extension for Qwen3**Mark Kashirskiy, Artiom Lipinski, Ilya Makarov*2025*](https://md.research.elamur.ai/free/en/papers/kashirskiy-2025-aratoken-optimizing-arabic-tokenization-normalization/)
8602. [**ArbESC+: Arabic Enhanced Edit Selection System Combination for Grammatical Error Correction Resolving conflict and improving system combination in Arabic GEC**Ahlam Alrehili, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-arbesc-arabic-enhanced-edit-selection/)
8603. [**ArFake: A Robust Framework for Multi-Dialect Arabic Speech Spoofing Detection Benchmark**Mohamed Elsetohy, Alhassan Ehab, Ali Mekky, et al.*2025*](https://md.research.elamur.ai/free/en/papers/elsetohy-2025-arfake-robust-framework-multi-dialect/)
8604. [**ASC analyzer: A Python package for measuring argument structure construction usage in English texts**Hakyung Sung, Kristopher Kyle*2025*](https://md.research.elamur.ai/free/en/papers/sung-2025-asc-analyzer-python-package-measuring/)
8605. [**Assessing the Agreement Competence of Large Language Models**Alba Táboas García, Leo Wanner*2025*](https://md.research.elamur.ai/free/en/papers/garcia-2025-assessing-agreement-competence-large-language/)
8606. [**Automatic Pronunciation Error Detection and Correction of the Holy Quran's Learners Using Deep Learning**Abdullah Abdelfattah, Mahmoud I. Khalil, Hazem Abbas*2025*](https://md.research.elamur.ai/free/en/papers/abdelfattah-2025-automatic-pronunciation-error-detection-correction/)
8607. [**Benchmarking the Performance of Chinese Large Language Models for Abstractive Text Summarization (中文大模型生成式摘要能力评估)**Junchao Wang (王俊超), Kehan Fan (樊可汗), Zhiheng Huo (霍智恒)*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-benchmarking-performance-chinese/)
8608. [**Building Patient Journeys in Hebrew: A Language Model for Clinical Timeline Extraction**Kai Golan Hashiloni, Brenda Kasabe Nokai, Michal Shevach, et al.*2025*](https://md.research.elamur.ai/free/en/papers/hashiloni-2025-building-patient-journeys-hebrew-language/)
8609. [**Chinese Parallelism Generation Based on Part-of-Speech Alignment and Dependency Relation (基于词性对齐与依存关系的中文排比句生成方法)**Maosheng Zhong (钟茂生), Lei Liu (刘蕾), Ruping Wu (吴如萍), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhong-2025-chinese-parallelism-generation/)
8610. [**Cognate Detection for Historical Language Reconstruction of Proto-Sabean Languages: the Case of Ge'ez, Tigrinya, and Amharic**Elleni Sisay Temesgen, Hellina Hailu Nigatu, Fitsum Assamnew Andargie*2025*](https://md.research.elamur.ai/free/en/papers/temesgen-2025-cognate-detection-historical-language-reconstruction/)
8611. [**Computational Linguistics Meets Libyan Dialect: A Study on Dialect Identification**Mansour Essgaer, Khamis Massud, Rabia Al Mamlook, et al.*2025*](https://md.research.elamur.ai/free/en/papers/essgaer-2025-computational-linguistics-meets-libyan-dialect/)
8612. [**DeformAr: Rethinking NER Evaluation through Component Analysis and Visual Analytics**Ahmed Mustafa Younes*2025*](https://md.research.elamur.ai/free/en/papers/younes-2025-deformar-rethinking-ner-evaluation-through/)
8613. [**Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation**Slimane Bellaouar, Attia Nehar, Soumia Souffi, et al.*2025*](https://md.research.elamur.ai/free/en/papers/bellaouar-2025-dhati-fine-tuned-large-language/)
8614. [**Domain-Adaptive Pre-Training for Arabic Aspect-Based Sentiment Analysis: A Comparative Study of Domain Adaptation and Fine-Tuning Strategies**Salha Alyami, Amani Jamal, Areej Alhothali*2025*](https://md.research.elamur.ai/free/en/papers/alyami-2025-domain-adaptive-pre-training-arabic/)
8615. [**Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)**Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/)
8616. [**Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition**Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kucukmanisa-2025-enhancing-quranic-learning-multimodal-deep/)
8617. [**Evaluating the Performance of Transformers in Translating Low-Resource Languages through Akkadian**Daniel A. Jones, Ruslan Mitkov*2025*](https://md.research.elamur.ai/free/en/papers/jones-2025-evaluating-performance-transformers-translating-low/)
8618. [**Evaluation on Chinese Multiturn Instruction Following Capability of Large Language Models (大语言模型的中文多轮指令遵循能力评测研究)**Qin Zhu (朱秦), Junliang He (何俊亮), Xipeng Qiu (邱锡鹏), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhu-2025-evaluation-chinese-multiturn/)
8619. [**Exploring Author Style in Nakba Short Stories: A Comparative Study of Transformer-Based Models**Osama Hamed, Nadeem Zaidkilani*2025*](https://md.research.elamur.ai/free/en/papers/hamed-2025-exploring-author-style-nakba-short/)
8620. [**Exploring Coreference Resolution in Glosses of German Sign Language**Yuzheng Bao, Haixia Chai*2025*](https://md.research.elamur.ai/free/en/papers/bao-2025-exploring-coreference-resolution-glosses-german/)
8621. [**Fine Tuning Methods for Large Language Models: A Survey (大语言模型微调方法研究综述)**Chunzhi Wu (吴春志), Yulong Zhao (赵玉龙), Xin Liu (刘鑫), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-fine-tuning-methods/)
8622. [**From Human Preference to Autonomous Alignment: A Survey of Large Language Model Alignment (从人类偏好到自主对齐: 大语言模型对齐方法综述)**Shihan Dou (窦士涵), Ming Zhang (张明), Xuanjing Huang (黄萱菁), et al.*2025*](https://md.research.elamur.ai/free/en/papers/dou-2025-human-preference-autonomous/)
8623. [**Hierarchical Section Matching Prediction (HSMP) BERT for Fine-Grained Extraction of Structured Data from Hebrew Free-Text Radiology Reports in Crohn's Disease**Zvi Badash; Hadas Ben-Atya; Naama Gavrielov; Liam Hazan; Gili Focht; Ruth Cytter-Kuint; Talar Hagopian; Dan Turner;, Moti Freiman*2025*](https://md.research.elamur.ai/free/en/papers/badash-2025-hierarchical-section-matching-prediction-hsmp/)
8624. [**Huaputong: Large Language Model for Genealogical Question-answering with Knowledge Reasoning (华谱通: 基于知识推理的家谱问答大语言模型)**Xindong Wu (吴信东), Xingrui Zhuo (卓兴锐), Yongpan Chang (常永泮), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wu-2025-huaputong-large-language/)
8625. [**Hybrid Deep Learning and Signal Processing for Arabic Dialect Recognition in Low-Resource Settings**Ghazal Al-Shwayyat, Omer Nezih Gerek*2025*](https://md.research.elamur.ai/free/en/papers/al-shwayyat-2025-hybrid-deep-learning-signal-processing/)

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