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09/06/2023
Gender-specific Machine Translation with Large Language Models
Decoder-only Large Language Models (LLMs) have demonstrated potential in...
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08/31/2023
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
We present Belebele, a multiple-choice machine reading comprehension (MR...
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08/23/2023
Evaluation of Faithfulness Using the Longest Supported Subsequence
As increasingly sophisticated language models emerge, their trustworthin...
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08/02/2023
Do Multilingual Language Models Think Better in English?
Translate-test is a popular technique to improve the performance of mult...
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07/03/2023
Improving Language Plasticity via Pretraining with Active Forgetting
Pretrained language models (PLMs) are today the primary model for natura...
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05/23/2023
Revisiting Machine Translation for Cross-lingual Classification
Machine Translation (MT) has been widely used for cross-lingual classifi...
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12/20/2022
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training
Prior work has shown that it is possible to expand pretrained Masked Lan...
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12/20/2022
On the Role of Parallel Data in Cross-lingual Transfer Learning
While prior work has established that the use of parallel data is conduc...
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12/19/2022
Training Trajectories of Language Models Across Scales
Scaling up language models has led to unprecedented performance gains, b...
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10/26/2022
Don't Prompt, Search! Mining-based Zero-Shot Learning with Language Models
Masked language models like BERT can perform text classification in a ze...
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05/30/2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
Pre-trained masked language models successfully perform few-shot learnin...
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05/24/2022
Principled Paraphrase Generation with Parallel Corpora
Round-trip Machine Translation (MT) is a popular choice for paraphrase g...
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05/24/2022
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation
Formal verse poetry imposes strict constraints on the meter and rhyme sc...
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05/24/2022
On the Role of Bidirectionality in Language Model Pre-Training
Prior work on language model pre-training has explored different archite...
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05/22/2022
Multilingual Machine Translation with Hyper-Adapters
Multilingual machine translation suffers from negative interference acro...
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05/12/2022
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
Multilingual pre-trained models are known to suffer from the curse of mu...
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05/02/2022
OPT: Open Pre-trained Transformer Language Models
Large language models, which are often trained for hundreds of thousands...
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03/15/2022
Does Corpus Quality Really Matter for Low-Resource Languages?
The vast majority of non-English corpora are derived from automatically ...
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03/14/2022
Efficient Language Modeling with Sparse all-MLP
All-MLP architectures have attracted increasing interest as an alternati...
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02/25/2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Large language models (LMs) are able to in-context learn – perform a new...
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12/20/2021
Efficient Large Scale Language Modeling with Mixtures of Experts
Mixture of Experts layers (MoEs) enable efficient scaling of language mo...
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12/20/2021
Few-shot Learning with Multilingual Language Models
Large-scale autoregressive language models such as GPT-3 are few-shot le...
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08/04/2021
PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining
Despite the success of multilingual sequence-to-sequence pretraining, mo...
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05/21/2021
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining
Existing models of multilingual sentence embeddings require large parall...
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03/23/2021
Multilingual Autoregressive Entity Linking
We present mGENRE, a sequence-to-sequence system for the Multilingual En...
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12/31/2020
Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring
Recent research on cross-lingual word embeddings has been dominated by u...
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05/29/2020
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders
We propose a modular architecture of language-specific encoder-decoders ...
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04/30/2020
A Call for More Rigor in Unsupervised Cross-lingual Learning
We review motivations, definition, approaches, and methodology for unsup...
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04/14/2020
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders
State-of-the-art multilingual machine translation relies on a universal ...
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04/09/2020
Translation Artifacts in Cross-lingual Transfer Learning
Both human and machine translation play a central role in cross-lingual ...
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02/28/2020
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
Back-translation provides a simple yet effective approach to exploit mon...
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10/25/2019
On the Cross-lingual Transferability of Monolingual Representations
State-of-the-art unsupervised multilingual models (e.g., multilingual BE...
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07/24/2019
Bilingual Lexicon Induction through Unsupervised Machine Translation
A recent research line has obtained strong results on bilingual lexicon ...
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06/12/2019
Analyzing the Limitations of Cross-lingual Word Embedding Mappings
Recent research in cross-lingual word embeddings has almost exclusively ...
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02/04/2019
An Effective Approach to Unsupervised Machine Translation
While machine translation has traditionally relied on large amounts of p...
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12/26/2018
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
We introduce an architecture to learn joint multilingual sentence repres...
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11/03/2018
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Machine translation is highly sensitive to the size and quality of the t...
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09/06/2018
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
Following the recent success of word embeddings, it has been argued that...
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09/04/2018
Unsupervised Statistical Machine Translation
While modern machine translation has relied on large parallel corpora, a...
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05/16/2018
A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Recent work has managed to learn cross-lingual word embeddings without p...
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10/30/2017
