Publications

Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Maxamed Axmed, Kalika Bali, Sunayana Sitaram

🏠 EMNLP (2023)

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On Evaluating and Mitigating Gender Biases in Multilingual Settings

Aniket Vashishtha*, Kabir Ahuja*, Sunayana Sitaram

🏠 ACL Findings (2023)

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On the Calibration of Massively Multilingual Language Models

Kabir Ahuja, Sunayana Sitaram, Sandipan Dandapat, Monojit Choudhury

🏠 EMNLP (2022)

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Global Readiness of Language Technology for Healthcare: What Would It Take to Combat the Next Pandemic?

Ishani Mondal*, Kabir Ahuja*, Mohit Jain, Jacki O’Neill, Kalika Bali, Monojit Choudhury

🏠 COLING (2022)

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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

🏠 NAACL (2022)

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Beyond Static models and test sets: Benchmarking the potential of pre-trained models across tasks and languages

Kabir Ahuja, Sandipan Dandapat, Sunayana Sitaram, Monojit Choudhury

👓 NLP Power! (2022)

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Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models

Kabir Ahuja*, Shanu Kumar*, Sandipan Dandapat, Monojit Choudhury

🏠 ACL (2022)

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On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages

Satwik Bhattamishra, Kabir Ahuja, Navin Goyal

🏠 COLING (2020)

🏆 Best short paper award

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On the Ability and Limitations of Transformers to Recognize Formal Languages

Satwik Bhattamishra, Kabir Ahuja, Navin Goyal

🏠 EMNLP (2020)

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Syntax-Guided Controlled Generation of Paraphrases

Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha Talukdar

📔 TACL (2020)

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Learning to Optimize Molecular Geometries Using Reinforcement Learning

Kabir Ahuja, William H Green, Yi-Pei Li

📔 JCTC (2020)

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Publications

Preprints

Popular Art in the Age of Generative AI: Market Incentives, Media Theory, and the Paradox of Authorial Aura

Beneath the Surface: Investigating LLMs' Capabilities for Communicating with Subtext

Published Papers

Teaching Transformers Causal Reasoning through Axiomatic Training

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection

Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers

In-Context Learning through the Bayesian Prism

MEGA: Multilingual Evaluation of Generative AI

On Evaluating and Mitigating Gender Biases in Multilingual Settings

On the Calibration of Massively Multilingual Language Models

Global Readiness of Language Technology for Healthcare: What Would It Take to Combat the Next Pandemic?

On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data

Beyond Static models and test sets: Benchmarking the potential of pre-trained models across tasks and languages

Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models

On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages

On the Ability and Limitations of Transformers to Recognize Formal Languages

Syntax-Guided Controlled Generation of Paraphrases

Learning to Optimize Molecular Geometries Using Reinforcement Learning