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A Primer on Pretrained Multilingual Language Models

https://doi.org/10.1145/3727339
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11431-020-1647-3openalex-snapshot
Pre-trained models for natural language processing: A survey
inferredcites →https://doi.org/10.1007/s11704-024-40579-4openalex-snapshot
A survey on multilingual large language models: corpora, alignment, and bias
inferredcites →https://doi.org/10.1109/cvpr.2019.00016openalex-snapshot
Hardness-Aware Deep Metric Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/icassp.2012.6289079openalex-snapshot
Japanese and Korean voice search
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
inferredcites →https://doi.org/10.1145/3406095openalex-snapshot
A Survey of Multilingual Neural Machine Translation
inferredcites →https://doi.org/10.1145/3530811openalex-snapshot
Efficient Transformers: A Survey
inferredcites →https://doi.org/10.1162/089120103321337421openalex-snapshot
A Systematic Comparison of Various Statistical Alignment Models
inferredcites →https://doi.org/10.1162/tacl_a_00288openalex-snapshot
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
inferredcites →https://doi.org/10.1162/tacl_a_00300openalex-snapshot
SpanBERT: Improving Pre-training by Representing and Predicting Spans
inferredcites →https://doi.org/10.1162/tacl_a_00317openalex-snapshot
T y D i QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
inferredcites →https://doi.org/10.1162/tacl_a_00343openalex-snapshot
Multilingual Denoising Pre-training for Neural Machine Translation
inferredcites →https://doi.org/10.1162/tacl_a_00349openalex-snapshot
A Primer in BERTology: What We Know About How BERT Works
inferredcites →https://doi.org/10.1184/r1/6472985openalex-snapshot
A Simple, Fast, and Effective Reparameterization of IBM Model 2
inferredcites →https://doi.org/10.1515/pralin-2016-0013openalex-snapshot
Efficient Word Alignment with Markov Chain Monte Carlo
inferredcites →https://doi.org/10.1561/2200000073openalex-snapshot
Computational Optimal Transport with Applications to Data Sciences
inferredcites →https://doi.org/10.1609/aaai.v34i05.6480openalex-snapshot
Alternating Language Modeling for Cross-Lingual Pre-Training
inferredcites →https://doi.org/10.1613/jair.1.11640openalex-snapshot
A Survey of Cross-lingual Word Embedding Models
inferredcites →https://doi.org/10.17863/cam.30462openalex-snapshot
A Survey of Cross-lingual Word Embedding Models
inferredcites →https://doi.org/10.17863/cam.62210openalex-snapshot
From Zero to Hero: On the Limitations of Zero-Shot Cross-Lingual Transfer with Multilingual Transformers
inferredcites →https://doi.org/10.18653/v1/2020.aacl-main.2openalex-snapshot
Can Monolingual Pretrained Models Help Cross-Lingual Classification?
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.146openalex-snapshot
End-to-End Neural Word Alignment Outperforms GIZA++
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.304openalex-snapshot
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.421openalex-snapshot
On the Cross-lingual Transferability of Monolingual Representations
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.485openalex-snapshot
Language (Technology) is Power: A Critical Survey of “Bias” in NLP
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.493openalex-snapshot
Finding Universal Grammatical Relations in Multilingual BERT
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.536openalex-snapshot
Emerging Cross-lingual Structure in Pretrained Language Models
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.560openalex-snapshot
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.645openalex-snapshot
CamemBERT: a Tasty French Language Model
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.653openalex-snapshot
MLQA: Evaluating Cross-lingual Extractive Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.747openalex-snapshot
Unsupervised Cross-lingual Representation Learning at Scale
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-demos.7openalex-snapshot
AdapterHub: A Framework for Adapting Transformers
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-mainopenalex-snapshot
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.180openalex-snapshot
UDapter: Language Adaptation for Truly Universal Dependency Parsing
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.185openalex-snapshot
XCOPA: A Multilingual Dataset for Causal Commonsense Reasoning
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.358openalex-snapshot
Identifying Elements Essential for BERT’s Multilinguality
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.363openalex-snapshot
From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.367openalex-snapshot
Improving Multilingual Models with Language-Clustered Vocabularies
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.42openalex-snapshot
Accurate Word Alignment Induction from Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.477openalex-snapshot
LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.484openalex-snapshot
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.489openalex-snapshot
Interpretable Multi-dataset Evaluation for Named Entity Recognition
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.617openalex-snapshot
MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.147openalex-snapshot
SimAlign: High Quality Word Alignments Without Parallel Training Data Using Static and Contextualized Embeddings
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.150openalex-snapshot
On the Language Neutrality of Pre-trained Multilingual Representations
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.240openalex-snapshot
Extending Multilingual BERT to Low-Resource Languages
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.245openalex-snapshot
Universal Dependencies According to BERT: Both More Specific and More General
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.292openalex-snapshot
RobBERT: a Dutch RoBERTa-based Language Model
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.389openalex-snapshot
What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.445openalex-snapshot
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages
inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.188openalex-snapshot
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)
inferredcites →https://doi.org/10.18653/v1/2020.semeval-1.189openalex-snapshot
Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification Using Pre-trained Language Models
inferredcites →https://doi.org/10.18653/v1/2020.wmt-1.19openalex-snapshot
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20
inferredcites →https://doi.org/10.18653/v1/2021.eacl-demos.10openalex-snapshot
Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.181openalex-snapshot
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.3openalex-snapshot
ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.699openalex-snapshot
IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.800openalex-snapshot
UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.802openalex-snapshot
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
inferredcites →https://doi.org/10.18653/v1/2021.findings-aclopenalex-snapshot
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.254openalex-snapshot
MergeDistill: Merging Language Models using Pre-trained Distillation
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.413openalex-snapshot
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages
inferredcites →https://doi.org/10.18653/v1/2021.naacl-mainopenalex-snapshot
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.280openalex-snapshot
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.284openalex-snapshot
Explicit Alignment Objectives for Multilingual Bidirectional Encoders
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.38openalex-snapshot
When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.41openalex-snapshot
mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
inferredcites →https://doi.org/10.18653/v1/2021.starsem-1.22openalex-snapshot
Inducing Language-Agnostic Multilingual Representations
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.427openalex-snapshot
XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.360openalex-snapshot
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.616openalex-snapshot
Few-shot Learning with Multilingual Generative Language Models
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.755openalex-snapshot
IndicXNLI: Evaluating Multilingual Inference for Indian Languages
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.235openalex-snapshot
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.582openalex-snapshot
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.61openalex-snapshot
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.693openalex-snapshot
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.215openalex-snapshot
Varta: A Large-Scale Headline-Generation Dataset for Indic Languages
inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.868openalex-snapshot
NusaCrowd: Open Source Initiative for Indonesian NLP Resources
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.125openalex-snapshot
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.595openalex-snapshot
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.691openalex-snapshot
Cheetah: Natural Language Generation for 517 African Languages
inferredcites →https://doi.org/10.18653/v1/d13-1openalex-snapshot
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/d13-1170openalex-snapshot
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
inferredcites →https://doi.org/10.18653/v1/d18-1openalex-snapshot
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
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XNLI: Evaluating Cross-lingual Sentence Representations
inferredcites →https://doi.org/10.18653/v1/d18-2012openalex-snapshot
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
inferredcites →https://doi.org/10.18653/v1/d19-1openalex-snapshot
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT
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Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
inferredcites →https://doi.org/10.18653/v1/d19-1382openalex-snapshot
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
inferredcites →https://doi.org/10.18653/v1/d19-1572openalex-snapshot
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
inferredcites →https://doi.org/10.18653/v1/d19-1575openalex-snapshot
Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing
inferredcites →https://doi.org/10.18653/v1/d19-5603openalex-snapshot
Recycling a Pre-trained BERT Encoder for Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/d19-61openalex-snapshot
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
inferredcites →https://doi.org/10.18653/v1/d19-6106openalex-snapshot
BERT is Not an Interlingua and the Bias of Tokenization
inferredcites →https://doi.org/10.18653/v1/k16-1002openalex-snapshot
Generating Sentences from a Continuous Space
inferredcites →https://doi.org/10.18653/v1/k19-1004openalex-snapshot
Investigating Cross-Lingual Alignment Methods for Contextualized Embeddings with Token-Level Evaluation
inferredcites →https://doi.org/10.18653/v1/n18-1101openalex-snapshot
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p19-1301openalex-snapshot
Choosing Transfer Languages for Cross-Lingual Learning
inferredcites →https://doi.org/10.18653/v1/p19-1493openalex-snapshot
How Multilingual is Multilingual BERT?
inferredcites →https://doi.org/10.18653/v1/p19-1580openalex-snapshot
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
inferredcites →https://doi.org/10.18653/v1/w17-2512openalex-snapshot
Overview of the Second BUCC Shared Task: Spotting Parallel Sentences in Comparable Corpora
inferredcites →https://doi.org/10.18653/v1/w18-5446openalex-snapshot
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
inferredcites →https://doi.org/10.3115/1075218openalex-snapshot
Proceedings of the 38th Annual Meeting on Association for Computational Linguistics - ACL '00
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Introduction to the CoNLL-2002 shared task
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Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 -
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Introduction to the CoNLL-2003 shared task
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HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
inferredcites →https://doi.org/10.4230/oasics.commit2data.3openalex-snapshot
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
inferredcites →https://doi.org/10.48550/arxiv.1309.4168openalex-snapshot
Exploiting Similarities among Languages for Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1609.08144openalex-snapshot
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1705.08045openalex-snapshot
Learning multiple visual domains with residual adapters
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot
Attention Is All You Need
inferredcites →https://doi.org/10.48550/arxiv.1708.09803openalex-snapshot
Transfer Learning across Low-Resource, Related Languages for Neural Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1807.03748openalex-snapshot
Representation Learning with Contrastive Predictive Coding
inferredcites →https://doi.org/10.48550/arxiv.1909.00964openalex-snapshot
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
inferredcites →https://doi.org/10.48550/arxiv.1910.03806openalex-snapshot
Is Multilingual BERT Fluent in Language Generation?
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
inferredcites →https://doi.org/10.48550/arxiv.1911.03310openalex-snapshot
How Language-Neutral is Multilingual BERT?
inferredcites →https://doi.org/10.48550/arxiv.1912.01389openalex-snapshot
Towards Lingua Franca Named Entity Recognition with BERT
inferredcites →https://doi.org/10.48550/arxiv.1912.07076openalex-snapshot
Multilingual is not enough: BERT for Finnish
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Cross-Lingual Ability of Multilingual BERT: An Empirical Study
inferredcites →https://doi.org/10.48550/arxiv.2002.03518openalex-snapshot
Multilingual Alignment of Contextual Word Representations
inferredcites →https://doi.org/10.48550/arxiv.2002.06823openalex-snapshot
Incorporating BERT into Neural Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.2004.09205openalex-snapshot
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT
inferredcites →https://doi.org/10.48550/arxiv.2004.14218openalex-snapshot
Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning
inferredcites →https://doi.org/10.48550/arxiv.2007.07834openalex-snapshot
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
inferredcites →https://doi.org/10.48550/arxiv.2007.09757openalex-snapshot
Mono vs Multilingual Transformer-based Models: a Comparison across Several Language Tasks
inferredcites →https://doi.org/10.48550/arxiv.2007.15960openalex-snapshot
On Learning Universal Representations Across Languages
inferredcites →https://doi.org/10.48550/arxiv.2009.12862openalex-snapshot
What does it mean to be language-agnostic? Probing multilingual sentence encoders for typological properties
inferredcites →https://doi.org/10.48550/arxiv.2012.06460openalex-snapshot
Orthogonal Language and Task Adapters in Zero-Shot Cross-Lingual Transfer
inferredcites →https://doi.org/10.48550/arxiv.2104.06387openalex-snapshot
ExplainaBoard: An Explainable Leaderboard for NLP
inferredcites →https://doi.org/10.48550/arxiv.2106.02834openalex-snapshot
MergeDistill: Merging Pre-trained Language Models using Distillation
inferredcites →https://doi.org/10.48550/arxiv.2106.16171openalex-snapshot
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer
inferredcites →https://doi.org/10.48550/arxiv.2108.05542openalex-snapshot
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
inferredcites →https://doi.org/10.48550/arxiv.2204.02311openalex-snapshot
PaLM: Scaling Language Modeling with Pathways
inferredcites →https://doi.org/10.48550/arxiv.2204.07580openalex-snapshot
mGPT: Few-Shot Learners Go Multilingual
inferredcites →https://doi.org/10.48550/arxiv.2207.04672openalex-snapshot
No Language Left Behind: Scaling Human-Centered Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.2302.13971openalex-snapshot
LLaMA: Open and Efficient Foundation Language Models
inferredcites →https://doi.org/10.48550/arxiv.2304.08177openalex-snapshot
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
inferredcites →https://doi.org/10.48550/arxiv.2305.06897openalex-snapshot
AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages
inferredcites →https://doi.org/10.48550/arxiv.2305.10403openalex-snapshot
PaLM 2 Technical Report
inferredcites →https://doi.org/10.48550/arxiv.2305.16307openalex-snapshot
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
inferredcites →https://doi.org/10.48550/arxiv.2307.06018openalex-snapshot
PolyLM: An Open Source Polyglot Large Language Model
inferredcites →https://doi.org/10.48550/arxiv.2307.09288openalex-snapshot
Behavioral Safety and Context Retention of Large Language Models in a Longitudinal ICU Simulation under Offline Conditions
inferredcites →https://doi.org/10.48550/arxiv.2312.00738openalex-snapshot
SeaLLMs -- Large Language Models for Southeast Asia
inferredcites →https://doi.org/10.48550/arxiv.2312.09993openalex-snapshot
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
inferredcites →https://doi.org/10.48550/arxiv.2312.11011openalex-snapshot
VinaLLaMA: LLaMA-based Vietnamese Foundation Model
inferredcites →https://doi.org/10.48550/arxiv.2401.13303openalex-snapshot
MaLA-500: Massive Language Adaptation of Large Language Models
inferredcites →https://doi.org/10.5282/ubm/epub.72200openalex-snapshot
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings
inferredcites →https://doi.org/10.5555/972470.972474openalex-snapshot
The mathematics of statistical machine translation

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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State-of-the-Art in Language Technology and Language-centric Artificial Intelligence
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How Different is Stereotypical Bias Across Languages?
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Systematic review and comparative synthesis of cross lingual question answering systems for low resource Indic languages
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Research progress of domain-specific large language models for chemical materials
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130991openalex-snapshot
CSLLM: Code-Specific Large Language Models—A Survey
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111616openalex-snapshot
Applications of natural language processing in software traceability: A systematic mapping study
inferred← citeshttps://doi.org/10.1016/j.nlp.2023.100048openalex-snapshot
A survey of GPT-3 family large language models including ChatGPT and GPT-4
inferred← citeshttps://doi.org/10.1016/j.nlp.2024.100106openalex-snapshot
Initial exploration into sarcasm and irony through machine translation
inferred← citeshttps://doi.org/10.1016/j.patter.2024.101118openalex-snapshot
A survey of multilingual large language models
inferred← citeshttps://doi.org/10.1016/j.xcrm.2023.101356openalex-snapshot
Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions
inferred← citeshttps://doi.org/10.1038/s42256-023-00637-1openalex-snapshot
Linguistically inspired roadmap for building biologically reliable protein language models
inferred← citeshttps://doi.org/10.1038/s44482-026-00020-yopenalex-snapshot
Cross-lingual transfer with multilingual language models for influenza-like-illness detection in social media texts
inferred← citeshttps://doi.org/10.1049/cit2.12333openalex-snapshot
Lexicon‐based fine‐tuning of multilingual language models for low‐resource language sentiment analysis
inferred← citeshttps://doi.org/10.1109/access.2024.3358811openalex-snapshot
Detection of Hate Speech and Offensive Language CodeMix Text in Dravidian Languages Using Cost-Sensitive Learning Approach
inferred← citeshttps://doi.org/10.1109/cist56084.2023.10409959openalex-snapshot
Multilingual Intent Recognition: A Study of Crosslingual Transfer Learning
inferred← citeshttps://doi.org/10.1109/gcon69192.2026.11648277openalex-snapshot
Evaluation of Open-Source Encoder-only Multilingual Small Language Models for Low-Resource Bengali Language
inferred← citeshttps://doi.org/10.1109/icacrs67045.2025.11324300openalex-snapshot
Advancing Emotion Recognition in Tamil: A Deep Learning and Transformer-based Approach
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448018openalex-snapshot
Towards A World-English Language Model for on-Device Virtual Assistants
inferred← citeshttps://doi.org/10.1109/icedcs64328.2024.00185openalex-snapshot
Cross-Lingual NLP: Bridging Language Barriers with Multilingual Model
inferred← citeshttps://doi.org/10.1109/iciscn67954.2026.11566110openalex-snapshot
Multilingual Code-Switched Text Translation Using Large Language Models
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892197openalex-snapshot
Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation
inferred← citeshttps://doi.org/10.1109/ubmk67458.2025.11207074openalex-snapshot
Learning Rate Sensitivity of Multilingual Transformer Based Large Language Models in Turkish Binary Classification
inferred← citeshttps://doi.org/10.1111/teth.70034openalex-snapshot
Transparent Artificial Intelligence in Theology Classrooms: Ethical and Pedagogical Insights of the Apertus Model for Religious Education
inferred← citeshttps://doi.org/10.1140/epjds/s13688-025-00596-0openalex-snapshot
Predicting organized collective violence through hostile discourse in social media
inferred← citeshttps://doi.org/10.1145/3729219openalex-snapshot
Privacy Preserving Prompt Engineering: A Survey
inferred← citeshttps://doi.org/10.1145/3831598openalex-snapshot
Enhancing Readability of Telugu Text Summarization Using Multi-scale Attention and Bio-inspired Optimization
inferred← citeshttps://doi.org/10.1162/coli_a_00472openalex-snapshot
Data-driven Cross-lingual Syntax: An Agreement Study with Massively Multilingual Models
inferred← citeshttps://doi.org/10.1162/tacl.a.33openalex-snapshot
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?
inferred← citeshttps://doi.org/10.1162/tacl_a_00612openalex-snapshot
Testing the Predictions of Surprisal Theory in 11 Languages
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.299openalex-snapshot
Improving Word Translation via Two-Stage Contrastive Learning
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.504openalex-snapshot
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.505openalex-snapshot
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.287openalex-snapshot
Adapters for Enhanced Modeling of Multilingual Knowledge and Text
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.264openalex-snapshot
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
inferred← citeshttps://doi.org/10.18653/v1/2022.sigtyp-1.1openalex-snapshot
Multilingualism Encourages Recursion: a Transfer Study with mBERT
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.323openalex-snapshot
Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.693openalex-snapshot
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.846openalex-snapshot
Exploring Large Language Models for Classical Philology
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.399openalex-snapshot
Revisiting Machine Translation for Cross-lingual Classification
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.818openalex-snapshot
How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.338openalex-snapshot
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.97openalex-snapshot
SERENGETI: Massively Multilingual Language Models for Africa
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.837openalex-snapshot
The Less the Merrier? Investigating Language Representation in Multilingual Models
inferred← citeshttps://doi.org/10.18653/v1/2023.inlg-main.4openalex-snapshot
Fine-Tuning GPT-3 for Synthetic Danish News Generation
inferred← citeshttps://doi.org/10.18653/v1/2023.semeval-1.7openalex-snapshot
BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter?
inferred← citeshttps://doi.org/10.18653/v1/2023.sustainlp-1.8openalex-snapshot
ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models
inferred← citeshttps://doi.org/10.2139/ssrn.5354574openalex-snapshot
Multilingual Translation and Prediction of Risk and Opportunity for Industrial Application Using Sentiment Analysis
inferred← citeshttps://doi.org/10.32657/10356/171247openalex-snapshot
Adaptation of language models via text augmentation
inferred← citeshttps://doi.org/10.33411/ijist/1338openalex-snapshot
AI-Powered Chatbot for Conversational Understanding in Roman Urdu
inferred← citeshttps://doi.org/10.3390/app16178779openalex-snapshot
A Deterministic Procedure-Aware Bilingual Retrieval-Augmented Generation Framework for Trustworthy High-Stakes AI Systems
inferred← citeshttps://doi.org/10.36227/techrxiv.23589741.v4openalex-snapshot
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
inferred← citeshttps://doi.org/10.48175/ijarsct-25104openalex-snapshot
Survey on Multimodal Image Captioning Approaches: Addressing Contextual Understanding, Cross-Dataset Generalization, and Multilingual Captioning
inferred← citeshttps://doi.org/10.53730/ijhs.v6ns1.7539openalex-snapshot
Multilingual text classification using deep learning
inferred← citeshttps://doi.org/10.5715/jnlp.30.664openalex-snapshot
Analyzing Transferable Knowledge by Pretraining with Artificial Language
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