activity
20162024
most citedMTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs

13 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI

Soumi Das, Shubhadip Nag, Shreyyash Sharma +2

Trustworthy AI is crucial to the widespread adoption of AI in high-stakes applications with fairness, robustness, and accuracy being some of the key trustworthiness metrics. In thi…

cs.CL20231 cited

In-Context Ability Transfer for Question Decomposition in Complex QA

Venktesh V, Sourangshu Bhattacharya, Avishek Anand

Answering complex questions is a challenging task that requires question decomposition and multistep reasoning for arriving at the solution. While existing supervised and unsupervi…

cs.MA2023

Opponent-aware Role-based Learning in Team Competitive Markov Games

Paramita Koley, Aurghya Maiti, Niloy Ganguly +1

Team competition in multi-agent Markov games is an increasingly important setting for multi-agent reinforcement learning, due to its general applicability in modeling many real-lif…

cs.IR202113 cited

MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs

Rajdeep Mukherjee, Uppada Vishnu, Hari Chandana Peruri +4

Occurrences of catastrophes such as natural or man-made disasters trigger the spread of rumours over social media at a rapid pace. Presenting a trustworthy and summarized account o…

cs.LG2016

A Methodology for Customizing Clinical Tests for Esophageal Cancer based on Patient Preferences

Asis Roy, Sourangshu Bhattacharya, Kalyan Guin

Tests for Esophageal cancer can be expensive, uncomfortable and can have side effects. For many patients, we can predict non-existence of disease with 100% certainty, just using de…