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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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05/24/2023
Tricking LLMs into Disobedience: Understanding, Analyzing, and Preventing Jailbreaks
Recent explorations with commercial Large Language Models (LLMs) have sh...
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05/23/2023
LLM-powered Data Augmentation for Enhanced Crosslingual Performance
This paper aims to explore the potential of leveraging Large Language Mo...
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05/23/2023
DUBLIN – Document Understanding By Language-Image Network
Visual document understanding is a complex task that involves analyzing ...
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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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10/27/2022
Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models
Leveraging shared learning through Massively Multilingual Models, state-...
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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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08/31/2022
Generating Intermediate Steps for NLI with Next-Step Supervision
The Natural Language Inference (NLI) task often requires reasoning over ...
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06/30/2022
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer
Few-shot transfer often shows substantial gain over zero-shot transfer <...
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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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03/24/2022
Multilingual CheckList: Generation and Evaluation
The recently proposed CheckList (Riberio et al,. 2020) approach to evalu...
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01/20/2022
NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis
Sentiment analysis is one of the most widely studied applications in NLP...
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12/04/2021
LoNLI: An Extensible Framework for Testing Diverse Logical Reasoning Capabilities for NLI
Natural Language Inference (NLI) is considered a representative task to ...
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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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10/14/2021
Designing Language Technologies for Social Good: The Road not Taken
Development of speech and language technology for social good (LT4SG), e...
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10/05/2021
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance
Multilingual language models achieve impressive zero-shot accuracies in ...
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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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07/15/2021
Trusting RoBERTa over BERT: Insights from CheckListing the Natural Language Inference Task
The recent state-of-the-art natural language understanding (NLU) systems...
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06/11/2021
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems
Neural models excel at extracting statistical patterns from large amount...
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06/02/2021
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices
Ethical aspects of research in language technologies have received much ...
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09/30/2020
TaxiNLI: Taking a Ride up the NLU Hill
Pre-trained Transformer-based neural architectures have consistently ach...
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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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04/20/2020
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
Language technologies contribute to promoting multilingualism and lingui...
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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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07/25/2017
All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media
In this paper, we present a set of computational methods to identify the...
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03/15/2017
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media
Code-mixing or code-switching are the effortless phenomena of natural sw...
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12/14/2016
