activity
20162024
most citedSaGE: Evaluating Moral Consistency in Large Language Models

3 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20243 cited

SaGE: Evaluating Moral Consistency in Large Language Models

Vamshi Krishna Bonagiri, Sreeram Vennam, Priyanshul Govil +2

Despite recent advancements showcasing the impressive capabilities of Large Language Models (LLMs) in conversational systems, we show that even state-of-the-art LLMs are morally in…

cs.CL20242 cited

Measuring Moral Inconsistencies in Large Language Models

Vamshi Krishna Bonagiri, Sreeram Vennam, Manas Gaur +1

A Large Language Model (LLM) is considered consistent if semantically equivalent prompts produce semantically equivalent responses. Despite recent advancements showcasing the impre…

cs.LG20232 cited

Exploring Graph Neural Networks for Indian Legal Judgment Prediction

Mann Khatri, Mirza Yusuf, Yaman Kumar +2

The burdensome impact of a skewed judges-to-cases ratio on the judicial system manifests in an overwhelming backlog of pending cases alongside an ongoing influx of new ones. To tac…

cs.CL2023

CiteCaseLAW: Citation Worthiness Detection in Caselaw for Legal Assistive Writing

Mann Khatri, Pritish Wadhwa, Gitansh Satija +4

In legal document writing, one of the key elements is properly citing the case laws and other sources to substantiate claims and arguments. Understanding the legal domain and ident…

cs.SI20162 cited

KidsTube: Detection, Characterization and Analysis of Child Unsafe Content & Promoters on YouTube

Rishabh Kaushal, Srishty Saha, Payal Bajaj +1

YouTube draws large number of users who contribute actively by uploading videos or commenting on existing videos. However, being a crowd sourced and large content pushed onto it, t…