---
title: "Who cites Attention Is All You Need — page 8"
description: "16,413 papers of the Elamur Research library cite «Attention Is All You Need», found in their bibliographies · page 8 of 10 · 701–800; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/cited-by/page/8/"
---
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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 8 of 10 · 701–800 · [← the paper](https://md.research.elamur.ai/free/en/papers/vaswani-2017-attention-all-need/)

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701. [**HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition**Avihay Chriqui, Inbal Yahav*2021 · 68 citations*](https://md.research.elamur.ai/free/en/papers/chriqui-2021-hebert-hebemo-hebrew-bert-model/)
702. [**Neural Networks and the Chomsky Hierarchy**Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.*2022 · 66 citations*](https://md.research.elamur.ai/free/en/papers/deletang-2022-neural-networks-chomsky-hierarchy/)
703. [**MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System**Libo Qin, Shijue Huang, Qiguang Chen, et al.*2023 · 65 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-mmsd2-0-reliable-multi-modal/)
704. [**Multi-Domain Dialogue Acts and Response Co-Generation**Kai Wang, Junfeng Tian, Rui Wang, et al.*2020 · 65 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-multi-domain-dialogue-acts-response/)
705. [**A Novel Hierarchical BERT Architecture for Sarcasm Detection**Himani Srivastava, Vaibhav Varshney, Surabhi Kumari, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2020-novel-hierarchical-bert-architecture-sarcasm/)
706. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/)
707. [**CUNI Transformer Neural MT System for WMT18**Martin Popel*2018 · 61 citations*](https://md.research.elamur.ai/free/en/papers/popel-2018-cuni-transformer-neural-mt-system/)
708. [**Improving Multi-Party Dialogue Discourse Parsing via Domain Integration**Zhengyuan Liu, Nancy Chen*2021 · 60 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-improving-multi-party-dialogue-discourse/)
709. [**Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction**Shirong Ma, Yinghui Li, Rongyi Sun, et al.*2022 · 59 citations*](https://md.research.elamur.ai/free/en/papers/ma-2022-linguistic-rules-based-corpus-generation/)
710. [**Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR**Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali, et al.*2021 · 56 citations*](https://md.research.elamur.ai/free/en/papers/chowdhury-2021-towards-one-model-rule-all/)
711. [**Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic Diversity**Brian Thompson, Matt Post*2020 · 55 citations*](https://md.research.elamur.ai/free/en/papers/thompson-2020-paraphrase-generation-as-zero-shot/)
712. [**Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies**Rachel Bawden, Kevin Bretonnel Cohen, Cristian Grozea, et al.*2019 · 54 citations*](https://md.research.elamur.ai/free/en/papers/bawden-2019-findings-wmt-2019-biomedical-translation/)
713. [**Scaling Laws of RoPE-based Extrapolation**Xiaoran Liu, Hang Yan, Shuo Zhang, et al.*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-scaling-laws-rope-based/)
714. [**The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction**Dimitris Alikaniotis, Vipul Raheja*2019 · 52 citations*](https://md.research.elamur.ai/free/en/papers/alikaniotis-2019-unreasonable-effectiveness-transformer-language-models/)
715. [**When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues**Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, et al.*2022 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2022-when-did-you-become-so/)
716. [**Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings**Yutao Zeng, Xiaolong Jin, Saiping Guan, et al.*2020 · 50 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2020-event-coreference-resolution-their-paraphrases/)
717. [**Interpretability for Language Learners Using Example-Based Grammatical Error Correction**Masahiro Kaneko, Sho Takase, Ayana Niwa, et al.*2022 · 47 citations*](https://md.research.elamur.ai/free/en/papers/kaneko-2022-interpretability-language-learners-example-based/)
718. [**MIDAS: A Dialog Act Annotation Scheme for Open Domain Human-Machine Spoken Conversations**Dian Yu, Zhou Yu*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/yu-2021-midas-dialog-act-annotation-scheme/)
719. [**A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing**Zeyu Dai, Ruihong Huang*2019 · 46 citations*](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/)
720. [**Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments**Dario Stojanovski, Alexander Fraser*2018 · 46 citations*](https://md.research.elamur.ai/free/en/papers/stojanovski-2018-coreference-coherence-neural-machine-translation/)
721. [**Speaker Turn Modeling for Dialogue Act Classification**Zihao He, Leili Tavabi, Kristina Lerman, et al.*2021 · 43 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-speaker-turn-modeling-dialogue-act/)
722. [**Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies**Chaofan Tao, Qian Liu, Longxu Dou, et al.*2024 · 42 citations*](https://md.research.elamur.ai/free/en/papers/tao-2024-scaling-laws-vocabulary-larger-models/)
723. [**ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer**Dongqi Liu, Vera Demberg*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-chatgpt-vs-human-authored-text/)
724. [**Facebook AI's WMT21 News Translation Task Submission**Chau Tran, Shruti Bhosale, James Cross, et al.*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/tran-2021-facebook-ai-s-wmt21-news/)
725. [**Syntax-augmented Multilingual BERT for Cross-lingual Transfer**Wasi Ahmad, Haoran Li, Kai-Wei Chang, et al.*2021 · 42 citations*](https://md.research.elamur.ai/free/en/papers/ahmad-2021-syntax-augmented-multilingual-bert-cross/)
726. [**Extractive Summarization Considering Discourse and Coreference Relations based on Heterogeneous Graph**Yin Jou Huang, Sadao Kurohashi*2021 · 41 citations*](https://md.research.elamur.ai/free/en/papers/huang-2021-extractive-summarization-considering-discourse-coreference/)
727. [**One Model to Learn Both: Zero Pronoun Prediction and Translation**Longyue Wang, Zhaopeng Tu, Xing Wang, et al.*2019 · 41 citations*](https://md.research.elamur.ai/free/en/papers/wang-2019-one-model-learn-both-zero/)
728. [**WikiCREM: A Large Unsupervised Corpus for Coreference Resolution**Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, et al.*2019 · 41 citations*](https://md.research.elamur.ai/free/en/papers/kocijan-2019-wikicrem-large-unsupervised-corpus-coreference/)
729. [**Towards Effective Disambiguation for Machine Translation with Large Language Models**Vivek Iyer, Pinzhen Chen, Alexandra Birch*2023 · 38 citations*](https://md.research.elamur.ai/free/en/papers/iyer-2023-effective-disambiguation-machine-translation-large/)
730. [**Semeval-2022 Task 1: CODWOE – Comparing Dictionaries and Word Embeddings**Timothee Mickus, Kees Van Deemter, Mathieu Constant, et al.*2022 · 38 citations*](https://md.research.elamur.ai/free/en/papers/mickus-2022-codwoe-dictionaries-embeddings/)
731. [**A unified approach to sentence segmentation of punctuated text in many languages**Rachel Wicks, Matt Post*2021 · 38 citations*](https://md.research.elamur.ai/free/en/papers/wicks-2021-unified-approach-sentence-segmentation-punctuated/)
732. [**Integrating Deep Event-Level and Script-Level Information for Script Event Prediction**Long Bai, Saiping Guan, Jiafeng Guo, et al.*2021 · 36 citations*](https://md.research.elamur.ai/free/en/papers/bai-2021-integrating-deep-event-level-script/)
733. [**Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification**Dania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman*2022 · 35 citations*](https://md.research.elamur.ai/free/en/papers/refai-2022-data-augmentation-using-transformers-similarity/)
734. [**Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition**Huibin Ruan, Yu Hong, Yang Xu, et al.*2020 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2020-interactively-propagative-attention-learning-implicit/)
735. [**Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/)
736. [**Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution**Denis Emelin, Rico Sennrich*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/emelin-2021-wino-x-multilingual-winograd-schemas/)
737. [**Transformers on Sarcasm Detection with Context**Amardeep Kumar, Vivek Anand*2020 · 34 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2020-transformers-sarcasm-detection-context/)
738. [**Handling Syntactic Divergence in Low-resource Machine Translation**Chunting Zhou, Xuezhe Ma, Junjie Hu, et al.*2019 · 33 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2019-handling-syntactic-divergence-low-resource/)
739. [**PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation**Shaolin Zhu, Shangjie Li, Yikun Lei, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2023-peit-bridging-modality-gap-pre/)
740. [**MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem**Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/perrella-2022-matese-machine-translation-evaluation-as/)
741. [**Neural Sarcasm Detection using Conversation Context**Nikhil Jaiswal*2020 · 32 citations*](https://md.research.elamur.ai/free/en/papers/jaiswal-2020-neural-sarcasm-detection-conversation-context/)
742. [**Chinese Idiom Paraphrasing**Jipeng Qiang, Yang Li, Chaowei Zhang, et al.*2023 · 31 citations*](https://md.research.elamur.ai/free/en/papers/qiang-2023-chinese-idiom-paraphrasing/)
743. [**Pairwise Representation Learning for Event Coreference**Xiaodong Yu, Wenpeng Yin, Dan Roth*2022 · 31 citations*](https://md.research.elamur.ai/free/en/papers/yu-2022-pairwise-representation-learning-event-coreference/)
744. [**Probing Contextual Language Models for Common Ground with Visual Representations**Gabriel Ilharco, Rowan Zellers, Ali Farhadi, et al.*2021 · 31 citations*](https://md.research.elamur.ai/free/en/papers/ilharco-2021-probing-contextual-language-models-common/)
745. [**MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods**Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag*2023 · 30 citations*](https://md.research.elamur.ai/free/en/papers/finkelstein-2023-mbr-qe-finetuning-training-time/)
746. [**ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics**Chantal Amrhein, Nikita Moghe, Liane Guillou*2022 · 29 citations*](https://md.research.elamur.ai/free/en/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/)
747. [**BERT Fine-tuning For Arabic Text Summarization**Khalid N. Elmadani, Mukhtar Elgezouli, Anas Showk*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/elmadani-2020-bert-fine-tuning-arabic-text/)
748. [**Findings of the WMT 2020 Shared Task on Chat Translation**M. Amin Farajian, António V. Lopes, André F. T. Martins, et al.*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/farajian-2020-findings-wmt-2020-shared-task/)
749. [**Observational Scaling Laws and the Predictability of Language Model Performance**Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/ruan-2024-observational-scaling-laws-predictability-language/)
750. [**Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition**Yuxin Jiang, Linhan Zhang, Wei Wang*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-global-local-hierarchy-aware-contrastive/)
751. [**Context Matters: A Pragmatic Study of PLMs' Negation Understanding**Reto Gubelmann, Siegfried Handschuh*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-context-matters-pragmatic-study-plms/)
752. [**Multimodal Sarcasm Target Identification in Tweets**Jiquan Wang, Lin Sun, Yi Liu, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-multimodal-sarcasm-target-identification-tweets/)
753. [**How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech**Aditya Yedetore, Tal Linzen, Robert Frank, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/yedetore-2023-how-poor-is-stimulus-evaluating/)
754. [**Prediction of Arabic Legal Rulings using Large Language Models**Adel Ammar, Anis Koubaa, Bilel Benjdira, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ammar-2023-prediction-arabic-legal-rulings-using/)
755. [**Arabic Code-Switching Speech Recognition using Monolingual Data**Ahmed Ali, Shammur Chowdhury, Amir Hussein, et al.*2021 · 27 citations*](https://md.research.elamur.ai/free/en/papers/ali-2021-arabic-code-switching-speech-recognition/)
756. [**Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context**Hankyol Lee, Youngjae Yu, Gunhee Kim*2020 · 27 citations*](https://md.research.elamur.ai/free/en/papers/lee-2020-augmenting-data-sarcasm-detection-unlabeled/)
757. [**Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling**Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.*2024 · 26 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2024-smaller-weaker-yet-better-training/)
758. [**Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation**Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/)
759. [**Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement**Alireza Mohammadshahi, James Henderson*2021 · 26 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2021-recursive-non-autoregressive-graph-graph/)
760. [**Can Multilingual Language Models Transfer to an Unseen Dialect? A Case Study on North African Arabizi**Benjamin Muller, Benoit Sagot, Djame Seddah*2020 · 26 citations*](https://md.research.elamur.ai/free/en/papers/muller-2020-multilingual-language-models-transfer-unseen/)
761. [**Improving Arabic Diacritization with Regularized Decoding and Adversarial Training**Han Qin, Guimin Chen, Yuanhe Tian, et al.*2021 · 25 citations*](https://md.research.elamur.ai/free/en/papers/qin-2021-improving-arabic-diacritization-regularized-decoding/)
762. [**Modeling Local Contexts for Joint Dialogue Act Recognition and Sentiment Classification with Bi-channel Dynamic Convolutions**Jingye Li, Hao Fei, Donghong Ji*2020 · 25 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-modeling-local-contexts-joint-dialogue/)
763. [**Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations**Alexander Hägele, Elie Bakouch, Atli Kosson, et al.*2024 · 24 citations*](https://md.research.elamur.ai/free/en/papers/hagele-2024-scaling-laws-compute-optimal-training/)
764. [**A closer look at the performance of neural language models on reflexive anaphor licensing**Jennifer Hu, Sherry Yong Chen, Roger Levy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/hu-2020-closer-look-performance-neural-language/)
765. [**Semantic Role Labeling as Syntactic Dependency Parsing**Tianze Shi, Igor Malioutov, Ozan Irsoy*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/shi-2020-semantic-role-labeling-as-syntactic/)
766. [**Fixing Translation Divergences in Parallel Corpora for Neural MT**MinhQuang Pham, Josep Crego, Jean Senellart, et al.*2018 · 24 citations*](https://md.research.elamur.ai/free/en/papers/pham-2018-fixing-translation-divergences-parallel-corpora/)
767. [**An Expanded Massive Multilingual Dataset for High-Performance Language Technologies (HPLT)**Laurie Burchell, Ona de Gibert, Nikolay Arefyev, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/burchell-2025-expanded-massive-multilingual-dataset-high/)
768. [**UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language**Nuwa Xi, Sendong Zhao, Haochun Wang, et al.*2023 · 23 citations*](https://md.research.elamur.ai/free/en/papers/xi-2023-unicorn-unified-cognitive-signal-reconstruction/)
769. [**MacBERTh: Development and Evaluation of a Historically Pre-trained Language Model for English (1450-1950)**Enrique Manjavacas Arevalo, Lauren Fonteyn*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/arevalo-2021-macberth-development-evaluation-historically-pre/)
770. [**Graph-to-Graph Transformer for Transition-based Dependency Parsing**Alireza Mohammadshahi, James Henderson*2020 · 23 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2020-graph-graph-transformer-transition-based/)
771. [**Bridging Argument Quality and Deliberative Quality Annotations with Adapters**Neele Falk, Gabriella Lapesa*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/falk-2023-bridging-argument-quality-deliberative-quality/)
772. [**DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules**Yanchen Liu, William Held, Diyi Yang*2023 · 20 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/)
773. [**A Double-Graph Based Framework for Frame Semantic Parsing**Ce Zheng, Xudong Chen, Runxin Xu, et al.*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-double-graph-based-framework-frame/)
774. [**Cross-lingual Zero Pronoun Resolution**Abdulrahman Aloraini, Massimo Poesio*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/aloraini-2020-cross-lingual-zero-pronoun-resolution/)
775. [**Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection**Erik Arakelyan, Arnav Arora, Isabelle Augenstein*2023 · 19 citations*](https://md.research.elamur.ai/free/en/papers/arakelyan-2023-topic-guided-sampling-data-efficient/)
776. [**Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model**Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza, et al.*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/alotaibi-2026-spam-sentiment-detection-arabic-tweets/)
777. [**What Helps Transformers Recognize Conversational Structure? Importance of Context, Punctuation, and Labels in Dialog Act Recognition**Piotr Żelasko, Raghavendra Pappagari, Najim Dehak*2021 · 19 citations*](https://md.research.elamur.ai/free/en/papers/zelasko-2021-what-helps-transformers-recognize-conversational/)
778. [**BLiMP: The Benchmark of Linguistic Minimal Pairs for English**Alex Warstadt, Alicia Parrish, Haokun Liu, et al.*2020 · 19 citations*](https://md.research.elamur.ai/free/en/papers/warstadt-2020-blimp-benchmark-linguistic-minimal-pairs/)
779. [**Unleashing the Power of Neural Discourse Parsers - A Context and Structure Aware Approach Using Large Scale Pretraining**Grigorii Guz, Patrick Huber, Giuseppe Carenini*2020 · 19 citations*](https://md.research.elamur.ai/free/en/papers/guz-2020-unleashing-power-neural-discourse-parsers/)
780. [**Do Large Language Models Understand Word Senses?**Domenico Meconi, Simone Stirpe, Federico Martelli*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/meconi-2025-llms-word-senses/)
781. [**Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !**Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/tang-2023-can-diffusion-model-achieve-better/)
782. [**ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer**Ebrahim Chekol Jibril, A. Cuneyd Tant\ug*2022 · 18 citations*](https://md.research.elamur.ai/free/en/papers/jibril-2022-anec-amharic-named-entity-corpus/)
783. [**GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation**Mingzhou Xu, Longyue Wang, Derek F. Wong, et al.*2022 · 18 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-guofeng-benchmark-zero-pronoun-recovery/)
784. [**ArabianGPT: Native Arabic GPT-based Large Language Model**Anis Koubaa, Adel Ammar, Lahouari Ghouti, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/koubaa-2024-arabiangpt-native-arabic-gpt-based/)
785. [**A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model**Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, et al.*2023 · 17 citations*](https://md.research.elamur.ai/free/en/papers/radhakrishnan-2023-parameter-efficient-learning-approach-arabic/)
786. [**Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting**Emmy Liu, Aditi Chaudhary, Graham Neubig*2023 · 17 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-crossing-threshold-idiomatic-machine-translation/)
787. [**Guiding Computational Stance Detection with Expanded Stance Triangle Framework**Zhengyuan Liu, Yong Keong Yap, Hai Leong Chieu, et al.*2023 · 17 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-guiding-computational-stance-detection-expanded/)
788. [**ÚFAL CorPipe at CRAC 2023: Larger Context Improves Multilingual Coreference Resolution**Milan Straka*2023 · 17 citations*](https://md.research.elamur.ai/free/en/papers/straka-2023-fal-corpipe-crac-2023-larger/)
789. [**The SADID Evaluation Datasets for Low-Resource Spoken Language Machine Translation of Arabic Dialects**Wael Abid*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/abid-2020-sadid-evaluation-datasets-low-resource/)
790. [**Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response**Alp Oktem; Mirko Plitt;, Grace Tang*2020 · 17 citations*](https://md.research.elamur.ai/free/en/papers/oktem-2020-tigrinya-neural-machine-translation-transfer/)
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