5 citations · 9 across the 5 of their papers we have counts for
5 papers
No Universal Courtesy: A Cross-Linguistic, Multi-Model Study of Politeness Effects on LLMs Using the PLUM Corpus
Hitesh Mehta, Arjit Saxena, Garima Chhikara +1
This paper explores the response of Large Language Models (LLMs) to user prompts with different degrees of politeness and impoliteness. The Politeness Theory by Brown and Levinson…
SMITE: Enhancing Fairness in LLMs through Optimal In-Context Example Selection via Dynamic Validation
Garima Chhikara, Kripabandhu Ghosh, Abhijnan Chakraborty
Large Language Models (LLMs) are widely used for downstream tasks such as tabular classification, where ensuring fairness in their outputs is critical for inclusivity, equal repres…
Through the Prism of Culture: Evaluating LLMs' Understanding of Indian Subcultures and Traditions
Garima Chhikara, Abhishek Kumar, Abhijnan Chakraborty
Large Language Models (LLMs) have shown remarkable advancements but also raise concerns about cultural bias, often reflecting dominant narratives at the expense of under-represente…
LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reports
Garima Chhikara, Anurag Sharma, V. Gurucharan +2
Citizen reporting platforms help the public and authorities stay informed about sexual harassment incidents. However, the high volume of data shared on these platforms makes review…
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification
Garima Chhikara, Anurag Sharma, Kripabandhu Ghosh +1
Employing Large Language Models (LLM) in various downstream applications such as classification is crucial, especially for smaller companies lacking the expertise and resources req…