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Pretrained Multilingual Language Models

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Showing 1–26 of 26 papers

TitleStatusHype
Improving Word Translation via Two-Stage Contrastive LearningCode1
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language ModelsCode1
Improving Bilingual Lexicon Induction with Cross-Encoder RerankingCode1
Small Data? No Problem! Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced LanguagesCode1
Improving Word Translation via Two-Stage Contrastive LearningCode1
A Primer on Pretrained Multilingual Language Models—0
Are Pretrained Multilingual Models Equally Fair Across Languages?—0
Empirical study of pretrained multilingual language models for zero-shot cross-lingual knowledge transfer in generation—0
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders—0
Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC—0
Multi-Source Cross-Lingual Constituency Parsing—0
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages—0
Out of Thin Air: Is Zero-Shot Cross-Lingual Keyword Detection Better Than Unsupervised?—0
Rumour Detection via Zero-shot Cross-lingual Transfer Learning—0
Team ÚFAL at CMCL 2022 Shared Task: Figuring out the correct recipe for predicting Eye-Tracking features using Pretrained Language Models—0
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding—0
Transliteration: A Simple Technique For Improving Multilingual Language Modeling—0
Investigating Math Word Problems using Pretrained Multilingual Language Models—0
Exploring the Maze of Multilingual Modeling—0
Discovering Low-rank Subspaces for Language-agnostic Multilingual RepresentationsCode0
Investigating Math Word Problems using Pretrained Multilingual Language ModelsCode0
Specializing Multilingual Language Models: An Empirical StudyCode0
Language Agnostic Multilingual Information Retrieval with Contrastive LearningCode0
Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive PretrainingCode0
To Adapt or to Fine-tune: A Case Study on Abstractive SummarizationCode0
Are Pretrained Multilingual Models Equally Fair Across Languages?Code0
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