14 citations · 33 across the 18 of their papers we have counts for
5 papers · 1 filter
On the Calibration of Massively Multilingual Language Models
Kabir Ahuja, Sunayana Sitaram, Sandipan Dandapat +1
Massively Multilingual Language Models (MMLMs) have recently gained popularity due to their surprising effectiveness in cross-lingual transfer. While there has been much work in ev…
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models
Kabir Ahuja, Shanu Kumar, Sandipan Dandapat +1
Massively Multilingual Transformer based Language Models have been observed to be surprisingly effective on zero-shot transfer across languages, though the performance varies from…
Beyond Static Models and Test Sets: Benchmarking the Potential of Pre-trained Models Across Tasks and Languages
Kabir Ahuja, Sandipan Dandapat, Sunayana Sitaram +1
Although recent Massively Multilingual Language Models (MMLMs) like mBERT and XLMR support around 100 languages, most existing multilingual NLP benchmarks provide evaluation data i…
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data
Kabir Ahuja, Monojit Choudhury, Sandipan Dandapat
Borrowing ideas from {\em Production functions} in micro-economics, in this paper we introduce a framework to systematically evaluate the performance and cost trade-offs between ma…
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?
Ishani Mondal, Kabir Ahuja, Mohit Jain +3
The COVID-19 pandemic has brought out both the best and worst of language technology (LT). On one hand, conversational agents for information dissemination and basic diagnosis have…