14 citations · 33 across the 18 of their papers we have counts for
4 papers · 1 filter
On Evaluating and Mitigating Gender Biases in Multilingual Settings
Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram
While understanding and removing gender biases in language models has been a long-standing problem in Natural Language Processing, prior research work has primarily been limited to…
In-Context Learning through the Bayesian Prism
Madhur Panwar, Kabir Ahuja, Navin Goyal
In-context learning (ICL) is one of the surprising and useful features of large language models and subject of intense research. Recently, stylized meta-learning-like ICL setups ha…
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
Somnath Kumar, Vaibhav Balloli, Mercy Ranjit +5
Large language models (LLMs) have revolutionized various domains but still struggle with non-Latin scripts and low-resource languages. This paper addresses the critical challenge o…
MEGA: Multilingual Evaluation of Generative AI
Kabir Ahuja, Harshita Diddee, Rishav Hada +9
Generative AI models have shown impressive performance on many Natural Language Processing tasks such as language understanding, reasoning, and language generation. An important qu…