5 citations · 13 across the 12 of their papers we have counts for
7 papers · 1 filter
ImplicitBBQ: Benchmarking Implicit Bias in Large Language Models through Characteristic Based Cues
Bhaskara Hanuma Vedula, Darshan Anghan, Ishita Goyal +2
Large Language Models increasingly suppress biased outputs when demographic identity is stated explicitly, yet may still exhibit implicit biases when identity is conveyed indirectl…
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…
Rethinking Hate Speech Detection on Social Media: Can LLMs Replace Traditional Models?
Daman Deep Singh, Ramanuj Bhattacharjee, Abhijnan Chakraborty
Hate speech detection across contemporary social media presents unique challenges due to linguistic diversity and the informal nature of online discourse. These challenges are furt…
MARRO: Multi-headed Attention for Rhetorical Role Labeling in Legal Documents
Purbid Bambroo, Subinay Adhikary, Paheli Bhattacharya +3
Identification of rhetorical roles like facts, arguments, and final judgments is central to understanding a legal case document and can lend power to other downstream tasks like le…
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…