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09/09/2023
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
Learning paradigms for large language models (LLMs) currently tend to fa...
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08/14/2023
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
Automatic evaluation of machine translation (MT) is a critical tool driv...
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05/23/2023
Evaluating and Modeling Attribution for Cross-Lingual Question Answering
Trustworthy answer content is abundant in many high-resource languages a...
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05/19/2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Data scarcity is a crucial issue for the development of highly multiling...
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12/21/2022
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval
Contrastive learning has been successfully used for retrieval of semanti...
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03/31/2022
Scaling Up Models and Data with and
Recent neural network-based language models have benefited greatly from ...
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03/21/2022
XTREME-S: Evaluating Cross-lingual Speech Representations
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingu...
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10/20/2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Unsupervised pre-training is now the predominant approach for both text ...
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03/11/2021
CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
Pipelined NLP systems have largely been superseded by end-to-end neural ...
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11/09/2020
CapWAP: Captioning with a Purpose
The traditional image captioning task uses generic reference captions to...
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10/23/2020
Learning to Recognize Dialect Features
Linguists characterize dialects by the presence, absence, and frequency ...
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10/22/2020
XOR QA: Cross-lingual Open-Retrieval Question Answering
Multilingual question answering tasks typically assume answers exist in ...
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03/10/2020
