---
title: "Who cites Attention Is All You Need — page 10"
description: "16,413 papers of the Elamur Research library cite «Attention Is All You Need», found in their bibliographies · page 10 of 10 · 901–993; the most cited…"
canonical: "https://research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/10/"
---
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# Who cites «Attention Is All You Need»

16,413 papers of our library cite it (of the 140,884 whose bibliographies we read) · 993 with a page here, the most cited first · page 10 of 10 · 901–993 · [← the paper](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/)

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901. [**Team QUESPA System Submission for the IWSLT 2026 Dialectal and Low-resource Speech Translation Task**John E. Ortega, Rodolfo Joel Zevallos, Fabrício Carraro, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ortega-2026-team-quespa-system-submission-iwslt/)
902. [**When Translations Surprise: Human Awareness of Predictability in Translations**Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sanchez-Martinez*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/romero-2026-when-translations-surprise-human-awareness/)
903. [**BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices**Euhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aman-2025-bitmar-low-bit-multimodal-fusion/)
904. [**Intertextual Parallel Detection in Biblical Hebrew: A Transformer-Based Benchmark**David M. Smiley*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/smiley-2025-intertextual-parallel-detection-biblical-hebrew/)
905. [**Allen Institute for AI @ SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages**Lester James V. Miranda*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/miranda-2024-allen-institute-ai-sigtyp-2024/)
906. [**Beyond Error Categories: A Contextual Approach of Evaluating Emerging Spell and Grammar Checkers**Þórunn Arnardóttir, Svanhvít Lilja Ingólfsdóttir, Haukur Barri Símonarson, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/arnardottir-2024-beyond-error-categories-contextual-approach/)
907. [**EtymoLink: A Structured English Etymology Dataset**Yuan Gao, Weiwei Sun*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gao-2024-etymolink-english/)
908. [**Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language**Mohammad Sammoudi; Ahmad Habaybeh; Huthaifa I. Ashqar;, Mohammed Elhenawy*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/sammoudi-2024-question-answering-qa-model-personalized/)
909. [**Tokenisation in Machine Translation Does Matter: The impact of different tokenisation approaches for Maltese**Kurt Abela, Kurt Micallef, Marc Tanti, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/abela-2024-tokenisation-machine-translation-does-matter/)
910. [**AraSpot: Arabic Spoken Command Spotting**Mahmoud Salhab, Haidar Harmanani*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/salhab-2023-araspot-arabic-spoken-command-spotting/)
911. [**Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)**Zezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/)
912. [**Dotless Representation of Arabic Text: Analysis and Modeling**Maged S. Al-Shaibani, Irfan Ahmad*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2023-dotless-representation-arabic-text-analysis/)
913. [**Introducing DictaLM — A Large Generative Language Model for Modern Hebrew**Shaltiel Shmidman, Avi Shmidman, Amir David Nissan Cohen, et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shmidman-2023-introducing-dictalm-large-generative-language/)
914. [**QA-KGNet: Language Model-driven Knowledge Graph Question-answering Model (QA-KGNet: 一种语言模型驱动的知识图谱问答模型)**Shaojie Qiao (乔少杰), Guoping Yang (杨国平), Yong Yu (于泳), et al.*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/qiao-2023-qa-kgnet-language/)
915. [**Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic**Ido Benbaji, Omri Doron, Adele Henot-Mortier*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/benbaji-2022-word-embeddings-distinguish-denominal-root/)
916. [**Analysis of Data Augmentation Methods for Low-Resource Maltese ASR**Andrea DeMarco; Carlos Mena; Albert Gatt; Claudia Borg; Aiden Williams;, Lonneke van der Plas*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/demarco-2021-analysis-data-augmentation-methods-low/)
917. [**Resolving Prepositional Phrase Attachment Ambiguities with Contextualized Word Embeddings**Adwait Ratnaparkhi, Atul Kumar*2021 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ratnaparkhi-2021-resolving-prepositional-phrase-attachment-ambiguities/)
918. [**A Fusion-Aware Two-Stage Framework for Mispronunciation Detection and Diagnosis in Low-Resource Modern Standard Arabic**Jing Yang, Shuqing Zhang, Yongyi Deng, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-fusion-aware-two-stage-framework/)
919. [**A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)**Anda Tang (唐岸达), Zhouchen Lin (林宙辰)*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)
920. [**Aggregated Transformer Attention Measures Predict Reading Times Beyond Surprisal**Lukas Mielczarek, Laura Kallmeyer*2026*](https://md.research.elamur.ai/free/en/papers/mielczarek-2026-aggregated-transformer-attention-measures-predict/)
921. [**Automatic Prediction of Prominence and Boundary Strength from Text**Pauline Mas, Kévin Vythelingum, Jonathan Chevelu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mas-2026-automatic-prediction-prominence-boundary-strength/)
922. [**AYN: A Tiny Yet Competitive Indian Legal Language Model Pretrained from Scratch**Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya*2026*](https://md.research.elamur.ai/free/en/papers/niyogi-2026-ayn-tiny-yet-competitive-indian/)
923. [**Balancing Fluency and Adherence: Hybrid Fallback Term Injection in Low-Resource Terminology Translation**Kurt Abela, Marc Tanti, Claudia Borg*2026*](https://md.research.elamur.ai/free/en/papers/abela-2026-balancing-fluency-adherence-hybrid-fallback/)
924. [**Bangla Key2Text: Text Generation from Keywords for a Low Resource Language**Tonmoy Talukder, G M Shahariar*2026*](https://md.research.elamur.ai/free/en/papers/talukder-2026-bangla-key2text-text-generation-keywords/)
925. [**Big Five Personality Prediction through Emotion-Conditioned Representations and Learnable Psycholinguistic Mapping**Lorenzo Zangari, Antonin Schnyder, Davide Picca*2026*](https://md.research.elamur.ai/free/en/papers/zangari-2026-big-five-personality-prediction-through/)
926. [**BRAGD: Constrained Multi-Label POS Tagging for Faroese**Annika Simonsen, Barbara Scalvini, Uni Johannesen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/simonsen-2026-bragd-constrained-multi-label-pos/)
927. [**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/)
928. [**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/)
929. [**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/)
930. [**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/)
931. [**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/)
932. [**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/)
933. [**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/)
934. [**Detecting Risky Behavior Related to Alcohol and Drug Use within Adolescents' Private Messenger Conversations**Jaromír Plhák, Michaela Lebedíková, Ondrej Sotolar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/plhak-2026-detecting-risky-behavior-related-alcohol/)
935. [**Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification**Felix Wernlein, Abhik Jana, Sandipan Sikdar*2026*](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/)
936. [**EDDA-Coordinata: An Annotated Dataset of Historical Geographic Coordinates**Ludovic Moncla, Pierre Nugues, Thierry Joliveau, et al.*2026*](https://md.research.elamur.ai/free/en/papers/moncla-2026-edda-coordinata-annotated-dataset-historical/)
937. [**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/)
938. [**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/)
939. [**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/)
940. [**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/)
941. [**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/)
942. [**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/)
943. [**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/)
944. [**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/)
945. [**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/)
946. [**Hybrid CNN-Transformer Architecture for Arabic Speech Emotion Recognition**Youcef Soufiane Gheffari, Oussama Mustapha Benouddane, Samiya Silarbi*2026*](https://md.research.elamur.ai/free/en/papers/gheffari-2026-hybrid-cnn-transformer-architecture-arabic/)
947. [**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/)
948. [**Insights from Romanized Manipuri Social Media Text: A Transliteration Corpus and Variation Analysis**Maisang Kamei Salice, Sanasam Ranbir Singh, Priyankoo Sarmah*2026*](https://md.research.elamur.ai/free/en/papers/salice-2026-insights-romanized-manipuri-social-media/)
949. [**Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework**Mattia Proietti, Afra Alishahi, Grzegorz Chrupała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/proietti-2026-mechanistic-interpretability-meets-cognitive-linguistics/)
950. [**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/)
951. [**Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR**Wenyang Gao, Yaxuan Li, Yunxin Bao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/)
952. [**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/)
953. [**Non-literal Meaning Representation in the Brain during Naturalistic Listening**Zhengwu Ma, Yuhan Huang, Chengcheng Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-non-literal-meaning-representation-brain/)
954. [**On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation**Weichuan Wang, Mingyang Liu, Chen Ma, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-temperature-constrained-non-deterministic-machine/)
955. [**Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT Models**Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee*2026*](https://md.research.elamur.ai/free/en/papers/shin-2026-open-access-dataset-acceptability-ratings/)
956. [**ParaCLEAN: Improving Translation Quality through Systematic Parallel Data Cleaning**Audrey Mash, Ella Paulina Bohman, Maite Melero*2026*](https://md.research.elamur.ai/free/en/papers/mash-2026-paraclean-improving-translation-quality-through/)
957. [**Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/)
958. [**Predicting Topic (Co-)Occurrence Using Topic Networks Built from the Project Gutenberg Corpus**Bhuvanesh Verma, Alexander Mehler*2026*](https://md.research.elamur.ai/free/en/papers/verma-2026-predicting-topic-co-occurrence-topic/)
959. [**Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning**Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mi-2026-rethinking-idiomaticity-decomposability-hypothesis-evidence/)
960. [**SemiAdapt: Semi-Supervised and Efficient LoRA-Based Domain Adaptation for Low-Resource Irish Machine Translation with Transformers**Josh Mcgiff, Nikola S. Nikolov*2026*](https://md.research.elamur.ai/free/en/papers/mcgiff-2026-semiadapt-semi-supervised-efficient-lora/)
961. [**Sentiment Analysis and Language Models for Kwanyama**Ndapa Nakashole*2026*](https://md.research.elamur.ai/free/en/papers/nakashole-2026-sentiment-analysis-language-models-kwanyama/)
962. [**Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning**Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/)
963. [**Terminology-Aware Retrieval-Augmented Knowledge Distillation for Biomedical Neural Machine Translation**Maria Zafar, Souhail Bakkali, Rejwanul Haque*2026*](https://md.research.elamur.ai/free/en/papers/zafar-2026-terminology-aware-retrieval-augmented-knowledge/)
964. [**TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition**ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/)
965. [**The Construction of a Mixe Variant Parallel Corpus**Ivan Vladimir Meza Ruiz, Delfino Zacarias Marquez, Martha Elba Ramírez Andrés, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ruiz-2026-construction-mixe-variant-parallel-corpus/)
966. [**The Development of Spectral and Temporal Encodings in Speech Sounds**Frank Lihui Tan, Youngah Do*2026*](https://md.research.elamur.ai/free/en/papers/tan-2026-development-spectral-temporal-encodings-speech/)
967. [**The Impact of Tokenization Algorithms on Hungarian Language Model Performance**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/)
968. [**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/)
969. [**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/)
970. [**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/)
971. [**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/)
972. [**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/)
973. [**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/)
974. [**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/)
975. [**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/)
976. [**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/)
977. [**Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource Task**Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad*2025*](https://md.research.elamur.ai/free/en/papers/al-shaibani-2025-poem-meter-classification-recited-arabic/)
978. [**Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/)
979. [**Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/)
980. [**Building and evaluating a Japanese-English bilingual model by vocabulary-replacing continual pretraining (語彙置換継続事前学習による日英バイリンガルモデルの構築と評価)**麻場直喜, 野崎雄太, 中島大, et al.*2024*](https://md.research.elamur.ai/free/en/papers/asaba-2024-building-evaluating-japanese-english/)
981. [**Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)**荒沢康平, 狩野芳伸*2024*](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/)
982. [**Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance**Mohamed Issa, Ahmed Abdelwahed*2024*](https://md.research.elamur.ai/free/en/papers/issa-2024-enhancing-medical-support-arabic-language/)
983. [**Generation and Evaluation of English Grammar Multiple-Choice Cloze Exercises**Nicolò Donati, Matteo Periani, Paolo Di Natale, et al.*2024*](https://md.research.elamur.ai/free/en/papers/donati-2024-generation-evaluation-english-grammar-multiple/)
984. [**Large Language Models and Biblical Hebrew: Limitations, pitfalls, opportunities**Camil Staps*2024*](https://md.research.elamur.ai/free/en/papers/staps-2024-large-language-models-biblical-hebrew/)
985. [**Survey on Document-level Neural Machine Translation (文档级神经机器翻译综述)**Xinglin Lv (吕星林), Junhui Li (李军辉), Shimin Tao (陶仕敏), et al.*2024*](https://md.research.elamur.ai/free/en/papers/lv-2024-document-level-neural/)
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