← Authors

Kabir Ahuja

16 papers · 2020–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (36) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (6) ⚑ Prolific Year (6) πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (71) ❓ The Questioner

Conferences

ACL (5) COLING (3) EMNLP (3) AACL (1) EACL (1) ICLR (1) ICML (1) NAACL (1)

Top co-authors

Sunayana Sitaram (8) Monojit Choudhury (7) Sandipan Dandapat (5) Kalika Bali (4) Navin Goyal (3) Barun Patra (2) Aniket Vashishtha (2) Prachi Jain (2) Akshay Nambi (2) Vishrav Chaudhary (2)

Keywords

multilingual language model (4) large language model (3) multilingual evaluation (3) low-resource language (3) cross-lingual transfer (2) performance prediction (2) zero-shot learning (2) multilingual model (2) text classification (1) natural language processing (1) few-shot learning (1) text generation (1) masked language model (1) language modeling (1) multilingual nlp (1) machine translation (1) transfer learning (1) label smoothing (1) bias detection (1) model calibration (1)

Papers

Teaching Transformers Causal Reasoning through Axiomatic Training ICML 2025
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs COLING 2025
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages ACL 2024
MAFIA: Multi-Adapter Fused Inclusive Language Models EACL 2024
In-Context Learning through the Bayesian Prism ICLR 2024
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world ACL 2023
On Evaluating and Mitigating Gender Biases in Multilingual Settings ACL 2023
MEGA: Multilingual Evaluation of Generative AI EMNLP 2023
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data NAACL 2022
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models ACL 2022
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
On the Calibration of Massively Multilingual Language Models EMNLP 2022
The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models AACL 2022
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages COLING 2020
On the Ability and Limitations of Transformers to Recognize Formal Languages EMNLP 2020