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20212026
most citedFairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models

6 citations · 17 across the 15 of their papers we have counts for

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6 papers · 1 filter

cs.RO2023

Trajectory Prediction for Robot Navigation using Flow-Guided Markov Neural Operator

Rashmi Bhaskara, Hrishikesh Viswanath, Aniket Bera

Predicting pedestrian movements remains a complex and persistent challenge in robot navigation research. We must evaluate several factors to achieve accurate predictions, such as p…

cs.RO2023

Graph-based Decentralized Task Allocation for Multi-Robot Target Localization

Juntong Peng, Hrishikesh Viswanath, Aniket Bera

We introduce a new graph neural operator-based approach for task allocation in a system of heterogeneous robots composed of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehi…

cs.RO2023★ 3 cited

ARTEMIS: AI-driven Robotic Triage Labeling and Emergency Medical Information System

Revanth Krishna Senthilkumaran, Mridu Prashanth, Hrishikesh Viswanath +3

Mass casualty incidents (MCIs) pose a significant challenge to emergency medical services by overwhelming available resources and personnel. Effective victim assessment is the key…

cs.SD2023

AffectEcho: Speaker Independent and Language-Agnostic Emotion and Affect Transfer for Speech Synthesis

Hrishikesh Viswanath, Aneesh Bhattacharya, Pascal Jutras-Dubé +4

Affect is an emotional characteristic encompassing valence, arousal, and intensity, and is a crucial attribute for enabling authentic conversations. While existing text-to-speech (…

cs.CL2023★ 6 cited

FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models

Hrishikesh Viswanath, Tianyi Zhang

Recent studies have demonstrated that large pretrained language models (LLMs) such as BERT and GPT-2 exhibit biases in token prediction, often inherited from the data distributions…

cs.AI2023★ 2 cited

Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML

Hrishikesh Viswanath, Md Ashiqur Rahman, Abhijeet Vyas +5

Numerical approximations of partial differential equations (PDEs) are routinely employed to formulate the solution of physics, engineering, and mathematical problems involving func…