---
title: "Who cites BERT: Pre-training of Deep Bidirectional…"
description: "23,422 papers of the Elamur Research library cite «BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/page/15/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/page/15/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [BERT: Pre-training of Deep Bidirectional…](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/) / [cited by](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/) / page 15

# Who cites «BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding»

23,422 papers of our library cite it (of the 140,884 whose bibliographies we read) · 1500 with a page here, the most cited first · page 15 of 15 · 1401–1500 · [← the paper](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/)

[← prev](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/page/14/) [1](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/) … [14](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/page/14/) **15**

1401. [**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/)
1402. [**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/)
1403. [**Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language**Yoshiki Tanaka, Ryuichi Uehara, Koji Inoue, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tanaka-2026-emotion-transcription-conversation-benchmark-capturing/)
1404. [**Entropy-aware Masking for Masked Language Modeling**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/)
1405. [**Evaluating the Adaptability of Large Language Models to Linguistic Variation**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/)
1406. [**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/)
1407. [**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/)
1408. [**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/)
1409. [**Extracting Medical Image-Related Entities from Spanish Electronic Health Records Using NER Methods**Alexander Platas, Marcos Merino, Elena Zotova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/platas-2026-extracting-medical-image-related-entities/)
1410. [**Faithful Medical Dialogue Generation Using Homo-Heterogeneous Exemplar-based In-Context Knowledge Grounding**Priyanshu Priya, Hardik Goyal, Asif Ekbal*2026*](https://md.research.elamur.ai/free/en/papers/priya-2026-faithful-medical-dialogue-generation-homo/)
1411. [**Few-shot Prompting or Supervised Tuning? A Comparative Study of LLMs for Linguistically Distant Language Pairs in BDI**Deepen Naorem, Sanasam Ranbir Singh, Telem Joyson Singh, et al.*2026*](https://md.research.elamur.ai/free/en/papers/naorem-2026-few-shot-prompting-or-supervised/)
1412. [**Fill-in-the-Blanks: Automatic Generation and Evaluation of Language Models' Pseudonyms for English and Swedish Texts**Maria Irena Szawerna, Jacob Lee Suchardt*2026*](https://md.research.elamur.ai/free/en/papers/szawerna-2026-fill-blanks-automatic-generation-evaluation/)
1413. [**From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media**Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/)
1414. [**Gender and Politeness Perception: A Novel Approach for Exploring Annotations Disagreement**Ahmad Aljanaideh*2026*](https://md.research.elamur.ai/free/en/papers/aljanaideh-2026-gender-politeness-perception-novel-approach/)
1415. [**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/)
1416. [**GHAD NLP at AdabEval2026: Transformer-Based Approach for Arabic Politeness and Pragmatic Category Classification**Ghada Alfattni, Ghader Kurdi*2026*](https://md.research.elamur.ai/free/en/papers/alfattni-2026-ghad-nlp-adabeval2026-transformer-based/)
1417. [**HalleluBERT: Let Every Token That Has Meaning Bear Its Weight**Raphael Schmitt*2026*](https://md.research.elamur.ai/free/en/papers/schmitt-2026-hallelubert-let-every-token-that/)
1418. [**Harder than Finding the Lost Sheep? Towards Automatically Suggesting Deliberate Metaphor Annotations in German Sermons**Ronja Laarmann-Quante, Stefanie Dipper*2026*](https://md.research.elamur.ai/free/en/papers/quante-2026-harder-than-finding-lost-sheep/)
1419. [**HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech Detection**Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin*2026*](https://md.research.elamur.ai/free/en/papers/proskurina-2026-hateprototypes-interpretable-transferable-representations-implicit/)
1420. [**How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment**Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thaler-2026-how-far-can-bias-go/)
1421. [**ID10M-JAM: Stress-Testing Idiom Identification Under Challenging Context**Kai Golan Hashiloni, Lior Livyatan, Ofri Hefetz, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hashiloni-2026-id10m-jam-stress-testing-idiom/)
1422. [**Identifying Imaging Follow-Up in Radiology Reports: A Comparative Analysis of Traditional ML and LLM Approaches**Namu Park, Giridhar Kaushik Ramachandran, Kevin Lybarger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/park-2026-identifying-imaging-follow-up-radiology/)
1423. [**Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted Resources**Volkan Ozer, Shu Okabe, Alexander Fraser*2026*](https://md.research.elamur.ai/free/en/papers/ozer-2026-interlinear-glosses-as-multilingual-pivot/)
1424. [**Investigating How LLMs Propagate Female Stereotypes: Comparing What Models Say via Prompts with What They Represent in Their Embeddings**Andrea Valderrey Nuñez, Jelke Bloem*2026*](https://md.research.elamur.ai/free/en/papers/nunez-2026-investigating-how-llms-propagate-female/)
1425. [**Is AI Catching Up to Human Expression? Exploring Emotion, Personality, Authorship, and Linguistic Style in English and Arabic with Six Large Language Models**Nasser A Alsadhan*2026*](https://md.research.elamur.ai/free/en/papers/alsadhan-2026-ai-catching-up-human-expression/)
1426. [**Is There Anything More Deceptive than an Obvious Fact? Investigating Implicitness in User-Generated Argumentative Text**Ekaterina Sviridova, Elena Cabrio, Serena Villata*2026*](https://md.research.elamur.ai/free/en/papers/sviridova-2026-is-there-anything-more-deceptive/)
1427. [**Ithaca Revisited: Benchmarking a Domain-Specific Model for Epigraphy in the Age of LLMs**Alessandro Locaputo, Andrea Brunello, Nicola Saccomanno, et al.*2026*](https://md.research.elamur.ai/free/en/papers/locaputo-2026-ithaca-revisited-benchmarking-domain-specific/)
1428. [**JFC-Recipe: A Dataset for Nutrient Estimation from Japanese User-Generated Cooking Recipes**Keisuke Shirai, Yoko Yamakata, Hirotaka Kameko, et al.*2026*](https://md.research.elamur.ai/free/en/papers/shirai-2026-jfc-recipe-dataset-nutrient-estimation/)
1429. [**KinyCOMET: Automatic Evaluation of Machine Translation Systems for Kinyarwanda–English**Prince Chris Mazimpaka, Jan Nehring, Samuel Rutunda, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mazimpaka-2026-kinycomet-automatic-evaluation-machine-translation/)
1430. [**Knowledge-Infused Hierarchy-Aware Emotion Recognition in Code-mixed Mental Health Counseling Conversations**Aseem Srivastava, Kushagra Mittal, Anusha Tiwari, et al.*2026*](https://md.research.elamur.ai/free/en/papers/srivastava-2026-knowledge-infused-hierarchy-aware-emotion/)
1431. [**MaskedVerbalizer: Automatic Verbalizer Construction for Few-Shot Text Classification in Low-Resource Right-to-Left Languages**Faizad Ullah, Furqan Sikandar, Areeba Waqar, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ullah-2026-maskedverbalizer-automatic-verbalizer-construction-few/)
1432. [**Measuring Idiomaticity in Text Embedding Models with epsilon-compositionality**Sondre Wold, Étienne Simon, Erik Velldal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wold-2026-measuring-idiomaticity-text-embedding-models/)
1433. [**MentalMARBERT: Domain-Adaptive Pre-training and Two-Stage Fine-Tuning for Arabic Mental Health Disorders Detection**Fatimah Almalki; Areej Alhothali; Lulwah Alharigy;, Abdulrahman Aladeem*2026*](https://md.research.elamur.ai/free/en/papers/almalki-2026-mentalmarbert-domain-adaptive-pre-training/)
1434. [**MUC-4 Revisited: Document-level Event Analysis beyond Span-based Arguments**Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid*2026*](https://md.research.elamur.ai/free/en/papers/olsen-2026-muc-4-revisited-document-level/)
1435. [**Multilingual Target-Stance Extraction**Ethan Leigh Mines, Bonnie J. Dorr*2026*](https://md.research.elamur.ai/free/en/papers/mines-2026-multilingual-target-stance-extraction/)
1436. [**MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African Languages**Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/lombard-2026-mzansitext-mzansilm-open-corpus-decoder/)
1437. [**NegNLI-BR: A Brazilian Portuguese Benchmark for Negation in Natural Language Inference**Matheus Westhelle, Viviane Moreira*2026*](https://md.research.elamur.ai/free/en/papers/westhelle-2026-negnli-br-brazilian-portuguese-benchmark/)
1438. [**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/)
1439. [**NormaTex-MapSNOMED: Bridging the Gap Between Brazilian Portuguese Clinical Narratives and SNOMED CT**Isabela Araujo, Claudia Moro, Layslla Martinez*2026*](https://md.research.elamur.ai/free/en/papers/araujo-2026-normatex-mapsnomed-bridging-gap-between/)
1440. [**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/)
1441. [**PARL: Prompt-based Agents for Reinforcement Learning**Yarik Menchaca Resendiz, Roman Klinger*2026*](https://md.research.elamur.ai/free/en/papers/resendiz-2026-parl-prompt-based-agents-reinforcement/)
1442. [**PEI at #SMM4H-HeaRD 2026: Enhancing Patient Metadata Detection via Hypothesis-Conditioned Classification and Paraphrase-Based Data Augmentation**Farnaz Zeidi, Roman Christof, Farnoush Zeidi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zeidi-2026-pei-smm4h-heard-2026-enhancing/)
1443. [**POLAR: A Corpus of Questions, Responses and Argumentation in Polish Political Radio Discourse**Daniel Ziembicki, Aleksandra Zwierzchowska, Ewelina Sobol, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ziembicki-2026-polar-corpus-questions-responses-argumentation/)
1444. [**Pragmatic Modelling in Language Learning: Caregiver Question-Answer Feedback in Child-Directed Dialogue**Maryam Bala, Johannes Heim, Elspeth Edelstein, et al.*2026*](https://md.research.elamur.ai/free/en/papers/bala-2026-pragmatic-modelling-language-learning-caregiver/)
1445. [**Predicting States of Understanding in Explanatory Interactions Using Cognitive Load-Related Linguistic Cues**Yu Wang, Olcay Türk, Angela Grimminger, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-predicting-states-understanding-explanatory-interactions/)
1446. [**Push and Pull: Training Sentence Encoders with Contrastive Losses for Distance-Based Multi-Label Text Classification**Jens Van Nooten, Andriy Kosar*2026*](https://md.research.elamur.ai/free/en/papers/nooten-2026-push-pull-training-sentence-encoders/)
1447. [**Reason-to-Learn (R2L): Multi-Agent Knowledge Distillation for Lightweight LLMs in Sentiment Analysis**Le-Huy Tu, Quan Nguyen, Vincent NGUYEN, et al.*2026*](https://md.research.elamur.ai/free/en/papers/tu-2026-reason-learn-r2l-multi-agent/)
1448. [**Reference-free Evaluation at Inference for NER/NEL over OCRed Historical Texts**Tien-Nam Nguyen, Adam Jatowt, Ahmed Hamdi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-reference-free-evaluation-inference-ner/)
1449. [**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/)
1450. [**RuznamceNER: A Named Entity Recognition Dataset for Ottoman Turkish**Esma Fatıma Bilgin Tasdemir, Dilara Zeynep Gürer, Saziye Betul Ozates*2026*](https://md.research.elamur.ai/free/en/papers/tasdemir-2026-ruznamcener-named-entity-recognition-dataset/)
1451. [**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/)
1452. [**Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT Models**Amr Eleraqi; Hager H. Mustafa;, Abdul Hadi N. Ahmed*2026*](https://md.research.elamur.ai/free/en/papers/eleraqi-2026-sentiment-classification-gaza-war-headlines/)
1453. [**Simulating Student Interactions for Virtual Pretesting with In-Context Learning**Arthur Thuy, Luca Benedetto, Ekaterina Loginova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/thuy-2026-simulating-student-interactions-virtual-pretesting/)
1454. [**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/)
1455. [**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/)
1456. [**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/)
1457. [**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/)
1458. [**UniSkill: A Dataset for Matching University Curricula to Professional Competencies**Nurlan Musazade, József Mezei, Mike Zhang*2026*](https://md.research.elamur.ai/free/en/papers/musazade-2026-uniskill-dataset-matching-university-curricula/)
1459. [**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/)
1460. [**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/)
1461. [**“Oat Milk Vegan Chocolate Taste Great!”: Monitoring the Food Transition Debate in Reddit**Greta Zella, Jan Willem Bolderdijk, Saskia Peels, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zella-2026-oat-milk-vegan-chocolate-taste/)
1462. [**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/)
1463. [**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/)
1464. [**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/)
1465. [**Annotating English Verb-Argument Structure via Usage-Based Analogy**Allen Minchun Hsiao, Laura A. Michaelis*2025*](https://md.research.elamur.ai/free/en/papers/hsiao-2025-annotating-english-verb-argument-structure/)
1466. [**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/)
1467. [**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/)
1468. [**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/)
1469. [**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/)
1470. [**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/)
1471. [**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/)
1472. [**Non Idiomatic Conventionalised Expressions: A New Pain in the Neck?**Ganesh Katrapati, Manish Shrivastava*2025*](https://md.research.elamur.ai/free/en/papers/katrapati-2025-non-idiomatic-conventionalised-expressions-new/)
1473. [**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/)
1474. [**Rdgai: Classifying transcriptional changes using Large Language Models with a test case from an Arabic Gospel tradition**Robert Turnbull*2025*](https://md.research.elamur.ai/free/en/papers/turnbull-2025-rdgai-classifying-transcriptional-changes-using/)
1475. [**Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution**Tatiana Anikina, Arne Binder, David Harbecke, et al.*2025*](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/)
1476. [**Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)**Yunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-robustness-evaluation-chatgpt/)
1477. [**Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)**Quanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-application-retrieval-augmented/)
1478. [**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/)
1479. [**Systematic Textual Availability of Manuscripts**Hadar Miller, Samuel Londner, Tsvi Kuflik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/miller-2025-systematic-textual-availability-manuscripts/)
1480. [**Universal Dependencies for Sindhi**John Bauer, Sakiina Shah, Muhammad Shaheer, et al.*2025*](https://md.research.elamur.ai/free/en/papers/bauer-2025-universal-dependencies-sindhi/)
1481. [**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/)
1482. [**Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)**Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.*2024*](https://md.research.elamur.ai/free/en/papers/antoine-2024-etude-des-facteurs-de-complexite/)
1483. [**From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)**Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.*2024*](https://md.research.elamur.ai/free/en/papers/miao-2024-foundation-intelligence-general/)
1484. [**Method for Expanding Event Commonsense Knowledge Graph Based on Large Language Models (基于大语言模型的事件常识知识图谱扩展方法)**Qiaojuan Huang (黄俏娟), Cungen Cao (曹存根), Ya Wang (王亚), et al.*2024*](https://md.research.elamur.ai/free/en/papers/huang-2024-method-expanding-event/)
1485. [**On the importance of Data Scale in Pretraining Arabic Language Models**Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.*2024*](https://md.research.elamur.ai/free/en/papers/ghaddar-2024-importance-data-scale-pretraining-arabic/)
1486. [**OtoBERT: Identifying Suffixed Verbal Forms in Modern Hebrew Literature**Avi Shmidman, Shaltiel Shmidman*2024*](https://md.research.elamur.ai/free/en/papers/shmidman-2024-otobert-identifying-suffixed-verbal-forms/)
1487. [**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/)
1488. [**Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)**Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.*2024*](https://md.research.elamur.ai/free/en/papers/liu-2024-hallucinations-large-language/)
1489. [**A Sequence-to-Sequence Approach for Arabic Pronoun Resolution**Hanan S. Murayshid, Hafida Benhidour, Said Kerrache*2023*](https://md.research.elamur.ai/free/en/papers/murayshid-2023-sequence-sequence-approach-arabic-pronoun/)
1490. [**Leveraging BERT Language Model for Arabic Long Document Classification**Muhammad AL-Qurishi*2023*](https://md.research.elamur.ai/free/en/papers/al-qurishi-2023-leveraging-bert-language-model-arabic/)
1491. [**Lexicalised and non-lexicalized multi-word expressions in WordNet: a cross-encoder approach**Marek Maziarz, Łukasz Grabowski, Tadeusz Piotrowski, et al.*2023*](https://md.research.elamur.ai/free/en/papers/maziarz-2023-lexicalised-non-lexicalized-multi-word/)
1492. [**Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)**Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.*2023*](https://md.research.elamur.ai/free/en/papers/lu-2023-questions-after-chatgpt/)
1493. [**Survey on Commonsense Question Answering (常识问答研究综述)**Yifan Fan (范怡帆), Bowei Zou (邹博伟), Qingting Xu (徐庆婷), et al.*2023*](https://md.research.elamur.ai/free/en/papers/fan-2023-commonsense-question-answering/)
1494. [**Unpacking Ambiguous Structure: A Dataset for Ambiguous Implicit Discourse Relations for English and Egyptian Arabic**Ahmed Ruby, Sara Stymne, Christian Hardmeier*2023*](https://md.research.elamur.ai/free/en/papers/ruby-2023-unpacking-ambiguous-structure-dataset-ambiguous/)
1495. [**Style Classification of Rabbinic Literature for Detection of Lost Midrash Tanhuma Material**Solomon Tannor, Nachum Dershowitz, Moshe Lavee*2022*](https://md.research.elamur.ai/free/en/papers/tannor-2022-style-classification-rabbinic-literature-detection/)
1496. [**Style transfer and classification in hebrew news items**Nir Weingarten*2022*](https://md.research.elamur.ai/free/en/papers/weingarten-2022-style-transfer-classification-hebrew-news/)
1497. [**Survey on Vision-language Pre-training (视觉语言预训练综述)**Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.*2022*](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/)
1498. [**BERT-based Multi-Task Model for Country and Province Level Modern Standard Arabic and Dialectal Arabic Identification**Abdellah El Mekki, Abdelkader El Mahdaouy, Kabil Essefar, et al.*2021*](https://md.research.elamur.ai/free/en/papers/mekki-2021-bert-based-multi-task-model-country/)
1499. [**Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction**Tianze Shi, Lillian Lee*2021*](https://md.research.elamur.ai/free/en/papers/shi-2021-transition-based-bubble-parsing-improvements/)
1500. [**Qu'apporte BERT à l'analyse syntaxique en constituants discontinus ? Une suite de tests pour évaluer les prédictions de structures syntaxiques discontinues en anglais (What does BERT contribute to discontinuous constituency parsing ? A test suite to evaluate discontinuous constituency structure predictions in English)**Maximin Coavoux*2020*](https://md.research.elamur.ai/free/en/papers/coavoux-2020-qu-apporte-bert-l-analyse/)

[← prev](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/page/14/) [1](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/) … [14](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/cited-by/page/14/) **15**

21,922 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/devlin-2019-bert-pre-training-deep-bidirectional/) — BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding