---
title: "Who cites ALBERT: A Lite — page 3 — 1,861 citing papers"
description: "1,861 papers of the Elamur Research library cite «ALBERT: A Lite BERT for Self-supervised Learning of Language Representations», found…"
canonical: "https://research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/page/3/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/page/3/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ALBERT: A Lite BERT for Self-supervised Learning…](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/) / [cited by](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/) / page 3

# Who cites «ALBERT: A Lite BERT for Self-supervised Learning of Language Representations»

1,861 papers of our library cite it (of the 149,439 whose bibliographies we read) · 262 with a page here, the most cited first · page 3 of 3 · 201–262 · [← back to «ALBERT: A Lite BERT for Self-supervised Learning of Language Representations»](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/)

[← prev](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/page/2/) **3**

201. [**HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark**Amir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/cohen-2023-heq-large-diverse-hebrew-reading/)
202. [**DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications arXiv:2004.11142**Hongxuan Tang, Hongyu Li, Jing Liu, et al.*2020 · 13 citations*](https://md.research.elamur.ai/free/en/papers/tang-2020-dureader-robust-chinese-dataset/)
203. **[DTW at Qur'an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource Domain](https://md.research.elamur.ai/free/en/papers/premasiri-2022-dtw-qur-qa-2022-utilising/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Damith Premasiri, Tharindu Ranasinghe, Wajdi Zaghouani, et al.*2022 · 11 citations*
204. **[Speciesist Language and Nonhuman Animal Bias in English Masked Language Models](https://md.research.elamur.ai/free/en/papers/takeshita-2022-speciesist-language-nonhuman-animal-bias/) [Information Processing & Management](https://md.research.elamur.ai/free/en/venues/information-processing-management/)**Masashi Takeshita, Rafal Rzepka, Kenji Araki*2022 · 11 citations*
205. **[AlclaM: Arabic Dialect Language Model](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialect-language-model/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 10 citations*
206. [**Investigating Forgetting in Pre-Trained Representations Through Continual Learning arXiv:2305.05968**Yun Luo, Zhen Yang, Xuefeng Bai, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-investigating-forgetting-pre-trained-representations/)
207. **[RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/gong-2025-rtqa-recursive-thinking-complex-temporal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhaoyan Gong, Juan Li, Zhiqiang Liu, et al.*2025 · 9 citations*
208. **[PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers](https://md.research.elamur.ai/free/en/papers/saxon-2023-peco-examining-single-sentence-label/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michael Saxon, Xinyi Wang, Wenda Xu, et al.*2023 · 9 citations*
209. **[PEEP-Talk: A Situational Dialogue-based Chatbot for English Education](https://md.research.elamur.ai/free/en/papers/lee-2023-peep-talk-situational-dialogue-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seungjun Lee, Yoonna Jang, Chanjun Park, et al.*2023 · 9 citations*
210. [**Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding arXiv:2205.10687**Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.*2022 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ghaddar-2022-revisiting-pre-trained-language-models-their/)
211. **[ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective](https://md.research.elamur.ai/free/en/papers/alrowili-2021-arabictransformer-efficient-large-arabic-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sultan Alrowili, K. Vijay-Shanker*2021 · 8 citations*
212. **[SU-NLP at CASE 2021 Task 1: Protest News Detection for English](https://md.research.elamur.ai/free/en/papers/celik-2021-su-nlp-case-2021-task/) [Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text](https://md.research.elamur.ai/free/en/venues/case/)**Furkan Çelik, Tuğberk Dalkılıç, Fatih Beyhan, et al.*2021 · 8 citations*
213. **[Generative Approach for Gender-Rewriting Task with ArabicT5](https://md.research.elamur.ai/free/en/papers/alrowili-2022-generative-approach-gender-rewriting-task/) [Arabic Natural Language Processing Workshop (WANLP)](https://md.research.elamur.ai/free/en/venues/wanlp/)**Sultan Alrowili, K. Vijay-Shanker*2022 · 7 citations*
214. **[Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences](https://md.research.elamur.ai/free/en/papers/luo-2022-simple-but-challenging-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Luo, Wei Liu, Jieyu Lin, et al.*2022 · 7 citations*
215. **[Assessing the Performance of ChatGPT-4, Fine-tuned BERT and Traditional ML Models on Moroccan Arabic Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/hannani-2024-assessing-performance-chatgpt-4-fine/) [International Conference on Natural Language Processing for the Digital Humanities](https://md.research.elamur.ai/free/en/venues/nlp4dh/)**Mohamed Hannani, Abdelhadi Soudi, Kristof Van Laerhoven*2024 · 6 citations*
216. **[Upaya at ArabicNLU Shared-Task: Arabic Lexical Disambiguation using Large Language Models](https://md.research.elamur.ai/free/en/papers/rajpoot-2024-upaya-arabicnlu-shared-task-arabic/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Pawan Rajpoot, Ashvini Jindal, Ankur Parikh*2024 · 6 citations*
217. **[A Lightweight Method to Generate Unanswerable Questions in English](https://md.research.elamur.ai/free/en/papers/gautam-2023-lightweight-method-generate-unanswerable-questions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vagrant Gautam, Miaoran Zhang, Dietrich Klakow*2023 · 6 citations*
218. **[Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-enhancing-auto-regressive-chain-thought/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Qifan Yu, Zhenyu He, Sijie Li, et al.*2026 · 5 citations*
219. **[Evaluating Numeracy of Language Models as a Natural Language Inference Task](https://md.research.elamur.ai/free/en/papers/mahendra-2025-evaluating-numeracy-language-models-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.*2025 · 4 citations*
220. [**Computational Sarcasm Analysis on Social Media: A Systematic Review arXiv:2209.06170**Faria Binte Kader, Nafisa Hossain Nujat, Tasmia Binte Sogir, et al.*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/kader-2022-computational-sarcasm-analysis-social-media/)
221. **[GOF at Qur'an QA 2022: Towards an Efficient Question Answering For The Holy Qu'ran In The Arabic Language Using Deep Learning-Based Approach](https://md.research.elamur.ai/free/en/papers/mostafa-2022-gof-qur-qa-2022-efficient/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Ali Mostafa, Omar Mohamed*2022 · 4 citations*
222. **[IDSOU at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets](https://md.research.elamur.ai/free/en/papers/ohashi-2020-idsou-wnut-2020-task-2/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Sora Ohashi, Tomoyuki Kajiwara, Chenhui Chu, et al.*2020 · 4 citations*
223. [**Modeling the Evolution of English Noun Compounds with Feature-Rich Diachronic Compositionality Prediction**Filip Miletić, Sabine Schulte im Walde*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/miletic-2025-modeling-evolution-english-noun-compounds/)
224. **[WarwickNLP at SemEval-2024 Task 1: Low-Rank Cross-Encoders for Efficient Semantic Textual Relatedness](https://md.research.elamur.ai/free/en/papers/ebrahim-2024-warwicknlp-semeval-2024-task-1/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Fahad Ebrahim, Mike Joy*2024 · 3 citations*
225. **[Cross-layer Attention Sharing for Pre-trained Large Language Models](https://md.research.elamur.ai/free/en/papers/mu-2026-cross-layer-attention-sharing-pre/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.*2026 · 2 citations*
226. **[Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue](https://md.research.elamur.ai/free/en/papers/purkayastha-2026-decision-making-deliberation-meta-reviewing/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sukannya Purkayastha, Nils Dycke, Anne Lauscher, et al.*2026 · 2 citations*
227. **[Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models](https://md.research.elamur.ai/free/en/papers/li-2023-pragmatic-reasoning-unlocks-quantifier-semantics/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiyuan Li, Rakesh Menon, Sayan Ghosh, et al.*2023 · 2 citations*
228. [**Synthetic Dataset for Evaluating Complex Compositional Knowledge for Natural Language Inference Proceedings of the 1st Workshop on Natural Language Reasoning and Structured Explanations (NLRSE)**Sushma Anand Akoju, Robert Vacareanu, Eduardo Blanco, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/akoju-2023-synthetic-dataset-evaluating-complex-compositional/)
229. [**Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic Patterns arXiv:2201.07614**Reto Gubelmann, Siegfried Handschuh*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/gubelmann-2022-uncovering-more-shallow-heuristics-probing/)
230. **[Comparative Analysis of Tokenizers in Tamil Text Classification in Low Resource Settings](https://md.research.elamur.ai/free/en/papers/sivakumaran-2026-comparative-analysis-tokenizers-tamil-text/) [workshop on Challenges in Processing South Asian Languages](https://md.research.elamur.ai/free/en/venues/chipsal/)**Gokulan Sivakumaran, Randil Pushpananda, ERAD Bandara*2026 · 1 citation*
231. **[LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-lampe-length-aware-multi-grained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sikui Zhang, Guangze Gao, Ziyun Gan, et al.*2026 · 1 citation*
232. **[NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted Masking](https://md.research.elamur.ai/free/en/papers/chakra-2026-neoarabert-modern-foundation-model-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chadi Abou Chakra, Hadi Khaled Hamoud, Osama Rakan Al Mraikhat, et al.*2026 · 1 citation*
233. **[SharVeT: Similarity-aware Parameter Sharing with Vector-based Tuning for Efficient LLM Compression](https://md.research.elamur.ai/free/en/papers/yun-2026-sharvet-similarity-aware-parameter-sharing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jeongin Yun, Jaeri Lee, Jongjin Kim, et al.*2026 · 1 citation*
234. [**AlcLaM: Arabic Dialectal Language Model arXiv:2407.13097**Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-alclam-arabic-dialectal-language-model/)
235. [**Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models arXiv:2405.12884**Abdurahmman Alzahrani, Eyad Babkier, Faisal Yanbaawi, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alzahrani-2024-investigating-persuasion-techniques-arabic-empirical/)
236. [**Construction of English Resume Corpus and Test with Pre-trained Language Models arXiv:2208.03219**Chengguang Gan, Tatsunori Mori*2022 · 1 citation*](https://md.research.elamur.ai/free/en/papers/gan-2022-construction-english-resume-corpus-test/)
237. **[A Multi-Agent Framework for High-Interaction Terminal Simulation](https://md.research.elamur.ai/free/en/papers/wei-2026-multi-agent-framework-high-interaction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Wei, Yuwen Cui, Kehan Shen, et al.*2026*
238. **[A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis](https://md.research.elamur.ai/free/en/papers/manzoor-2026-multi-view-media-profiling-suite/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel, et al.*2026*
239. **[An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice Questionnaires](https://md.research.elamur.ai/free/en/papers/stroligo-2026-evaluation-classifiers-mapping-generative-llm/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Alisea Stroligo, Anna Shamray, Julian Schelb, et al.*2026*
240. **[APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation](https://md.research.elamur.ai/free/en/papers/zhu-2026-appsi-139-parallel-corpus-english/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengyun Zhu, Qiheng Sun, Long Wen, et al.*2026*
241. **[Attention Under Attack: Analog Noise Effects and Mechanistic Vulnerabilities in Transformer Models](https://md.research.elamur.ai/free/en/papers/rahman-2026-attention-under-attack-analog-noise/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mafizur Rahman, Lijun Qian*2026*
242. **[Beyond Multilinguality: Typological Limitations in Multilingual Models for Meitei Language](https://md.research.elamur.ai/free/en/papers/nyalang-2026-beyond-multilinguality-typological-limitations-multilingual/) [Workshop on Research in Computational Linguistic Typology and Multilingual NLP](https://md.research.elamur.ai/free/en/venues/sigtyp/)**Badal Nyalang*2026*
243. **[Beyond Unified Models: A Service-Oriented Approach to Low Latency, Context Aware Phonemization for Real Time TTS](https://md.research.elamur.ai/free/en/papers/qharabagh-2026-beyond-unified-models-service-oriented/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mahta Fetrat Qharabagh, Donya Navabi, Zahra Dehghanian, et al.*2026*
244. **[Big Five Personality Prediction through Emotion-Conditioned Representations and Learnable Psycholinguistic Mapping](https://md.research.elamur.ai/free/en/papers/zangari-2026-big-five-personality-prediction-through/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lorenzo Zangari, Antonin Schnyder, Davide Picca*2026*
245. **[Can Spectral-Clipping Enable Better Learning While Forgetting Less for Low-Rank Adaptation?](https://md.research.elamur.ai/free/en/papers/wi-2026-can-spectral-clipping-enable-better/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hyowon Wi, Noseong Park*2026*
246. **[Entropy-aware Masking for Masked Language Modeling](https://md.research.elamur.ai/free/en/papers/srinivasagan-2026-entropy-aware-masking-masked-language/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Gokul Srinivasagan, Kai Hartung, Munir Georges*2026*
247. **[HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion](https://md.research.elamur.ai/free/en/papers/munawar-2026-hu-semeval-2026-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Taha Munawar, Basil Khan, Arsal Jangda, et al.*2026*
248. **[Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective](https://md.research.elamur.ai/free/en/papers/mai-2026-learning-invariant-modality-representation-robust/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sijie Mai, Shiqin Han*2026*
249. **[Learning Shortcut Models for Efficient Recursive Reasoning](https://md.research.elamur.ai/free/en/papers/shankar-2026-learning-shortcut-models-efficient-recursive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shiv Shankar*2026*
250. **[Lost in Translation, and Found: Detecting and Interpreting Translation Effects](https://md.research.elamur.ai/free/en/papers/wein-2026-lost-translation-found-detecting-interpreting/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shira Wein, Anna Serbina, Jiyuan Ji, et al.*2026*
251. **[SPQ: An Ensemble Technique for Large Language Model Compression](https://md.research.elamur.ai/free/en/papers/yao-2026-spq-ensemble-technique-large-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jiamin Yao, Eren Gultepe*2026*
252. **[Suppressing Final Layer Hidden State Jumps in Transformer Pretraining](https://md.research.elamur.ai/free/en/papers/shibata-2026-suppressing-final-layer-hidden-state/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.*2026*
253. **[SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization](https://md.research.elamur.ai/free/en/papers/mohammad-2026-surgellm-rethinking-multi-task-evaluation/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Noor Islam S. Mohammad, Ulug Bayazit*2026*
254. **[Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-temporal-evidence-chain-temporal-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shihao Liu, Xiaofei Zhou, Bo Wang, et al.*2026*
255. **[The Impact of Tokenization Algorithms on Hungarian Language Model Performance](https://md.research.elamur.ai/free/en/papers/osvath-2026-impact-tokenization-algorithms-hungarian-language/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.*2026*
256. **[Vrittanta-EN: A Benchmark Dataset for Event Trigger Detection and Classification Advancing Event Understanding in English Narrative Discourse](https://md.research.elamur.ai/free/en/papers/kirti-2026-vrittanta-en-benchmark-dataset-event/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Chaitanya Kirti, Ashish Anand, Prithwijit Guha*2026*
257. **[When Words Wear Masks: Detecting Malicious Intents and Hostile Impacts of Online Hate Speech](https://md.research.elamur.ai/free/en/papers/singhal-2026-when-words-wear-masks-detecting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Priyansh Singhal, Piyush Joshi*2026*
258. [**DeformAr: Rethinking NER Evaluation through Component Analysis and Visual Analytics arXiv:2512.00938**Ahmed Mustafa Younes*2025*](https://md.research.elamur.ai/free/en/papers/younes-2025-deformar-rethinking-ner-evaluation-through/)
259. [**NeoDictaBERT: Pushing the Frontier of BERT models for Hebrew**Shaltiel Shmidman, Avi Shmidman, Moshe Koppel*2025*](https://md.research.elamur.ai/free/en/papers/shmidman-2025-neodictabert-pushing-frontier-bert-models/)
260. [**Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care arXiv:2406.15966**Hassan Alhuzali, Ashwag Alasmari*2024*](https://md.research.elamur.ai/free/en/papers/alhuzali-2024-evaluating-effectiveness-foundational-models-q/)
261. [**A Side-by-side Comparison of Transformers for English Implicit Discourse Relation Classification arXiv:2307.03378**Bruce W. Lee, BongSeok Yang, Jason Hyung-Jong Lee*2023*](https://md.research.elamur.ai/free/en/papers/lee-2023-side-side-comparison-transformers-english/)
262. **[niksss at SemEval-2022 Task 6: Are Traditionally Pre-Trained Contextual Embeddings Enough for Detecting Intended Sarcasm ?](https://md.research.elamur.ai/free/en/papers/singh-2022-niksss-semeval-2022-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Nikhil Singh*2022*

[← prev](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/) [2](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/cited-by/page/2/) **3**

1,599 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/lan-2019-albert-lite-bert-self-supervised/) — ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
