Kabir Ahuja
16 papers · 2020–2025 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
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Natural Language Processing
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Artificial Intelligence
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Core AI
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Deep Learning
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Keywords
large language model
(4)
multilingual language model
(4)
multilingual evaluation
(3)
low-resource language
(3)
cross-lingual transfer
(2)
transformer model
(2)
multilingual model
(2)
zero-shot learning
(2)
performance prediction
(2)
text classification
(1)
in-context learning
(1)
natural language processing
(1)
text generation
(1)
masked language model
(1)
few-shot learning
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multilingual nlp
(1)
label smoothing
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machine translation
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transfer learning
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bias detection
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Papers
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
COLING 2025
Teaching Transformers Causal Reasoning through Axiomatic Training
ICML 2025
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages
ACL 2024
In-Context Learning through the Bayesian Prism
ICLR 2024
MAFIA: Multi-Adapter Fused Inclusive Language Models
EACL 2024
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world
ACL 2023
MEGA: Multilingual Evaluation of Generative AI
EMNLP 2023
On Evaluating and Mitigating Gender Biases in Multilingual Settings
ACL 2023
Beyond Static models and test sets: Benchmarking the potential of pre-trained models across tasks and languages
ACL 2022
Global Readiness of Language Technology for Healthcare: What Would It Take to Combat the Next Pandemic?
COLING 2022
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models
ACL 2022
On the Calibration of Massively Multilingual Language Models
EMNLP 2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data
NAACL 2022
The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models
AACL 2022
On the Ability and Limitations of Transformers to Recognize Formal Languages
EMNLP 2020
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages
COLING 2020