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07/04/2023
On Evaluating and Mitigating Gender Biases in Multilingual Settings
While understanding and removing gender biases in language models has be...
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06/08/2023
In-Context Learning through the Bayesian Prism
In-context learning is one of the surprising and useful features of larg...
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05/28/2023
Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs
Large language models (LLMs) are at the forefront of transforming numero...
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03/22/2023
MEGA: Multilingual Evaluation of Generative AI
Generative AI models have impressive performance on many Natural Languag...
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10/21/2022
On the Calibration of Massively Multilingual Language Models
Massively Multilingual Language Models (MMLMs) have recently gained popu...
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05/12/2022
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages
Although recent Massively Multilingual Language Models (MMLMs) like mBER...
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05/12/2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data
Borrowing ideas from Production functions in micro-economics, in this pa...
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05/12/2022
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models
Massively Multilingual Transformer based Language Models have been obser...
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04/06/2022
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?
The COVID-19 pandemic has brought out both the best and worst of languag...
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11/08/2020
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages
While recurrent models have been effective in NLP tasks, their performan...
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09/23/2020
On the Ability of Self-Attention Networks to Recognize Counter Languages
Transformers have supplanted recurrent models in a large number of NLP t...
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05/18/2020