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09/14/2023
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?
Large Language Models (LLMs) have demonstrated impressive performance on...
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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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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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03/13/2023
Analysing the Masked predictive coding training criterion for pre-training a Speech Representation Model
Recent developments in pre-trained speech representation utilizing self-...
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03/04/2023
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
Zero-shot cross-lingual transfer is promising, however has been shown to...
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02/24/2023
Fairness in Language Models Beyond English: Gaps and Challenges
With language models becoming increasingly ubiquitous, it has become ess...
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01/05/2023
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
The analysis of data in which multiple languages are represented has gai...
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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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03/24/2022
Multilingual CheckList: Generation and Evaluation
The recently proposed CheckList (Riberio et al,. 2020) approach to evalu...
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02/25/2022
A Survey of Multilingual Models for Automatic Speech Recognition
Although Automatic Speech Recognition (ASR) systems have achieved human-...
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10/17/2021
Predicting the Performance of Multilingual NLP Models
Recent advancements in NLP have given us models like mBERT and XLMR that...
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09/15/2021
On the Universality of Deep COntextual Language Models
Deep Contextual Language Models (LMs) like ELMO, BERT, and their success...
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04/01/2021
Multilingual and code-switching ASR challenges for low resource Indian languages
Recently, there is increasing interest in multilingual automatic speech ...
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11/12/2020
Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages
Spoken Term Detection (STD) is the task of searching for words or phrase...
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06/09/2020
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition
Recognizing code-switched speech is challenging for Automatic Speech Rec...
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06/01/2020
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition
Recently, there has been significant progress made in Automatic Speech R...
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04/26/2020
GLUECoS : An Evaluation Benchmark for Code-Switched NLP
Code-switching is the use of more than one language in the same conversa...
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04/10/2020
A New Dataset for Natural Language Inference from Code-mixed Conversations
Natural Language Inference (NLI) is the task of inferring the logical re...
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12/07/2019
Unsung Challenges of Building and Deploying Language Technologies for Low Resource Language Communities
In this paper, we examine and analyze the challenges associated with dev...
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06/22/2019
End-to-End ASR for Code-switched Hindi-English Speech
End-to-end (E2E) models have been explored for large speech corpora and ...
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03/25/2019
A Survey of Code-switched Speech and Language Processing
Code-switching, the alternation of languages within a conversation or ut...
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05/12/2016