15 citations · 37 across the 31 of their papers we have counts for
5 papers · 1 filter
QuAKE: Speeding up Model Inference Using Quick and Approximate Kernels for Exponential Non-Linearities
Sai Kiran Narayanaswami, Gopalakrishnan Srinivasan, Balaraman Ravindran
As machine learning gets deployed more and more widely, and model sizes continue to grow, improving computational efficiency during model inference has become a key challenge. In m…
Participatory Approaches in AI Development and Governance: Case Studies
Ambreesh Parthasarathy, Aditya Phalnikar, Gokul S Krishnan +2
This paper forms the second of a two-part series on the value of a participatory approach to AI development and deployment. The first paper had crafted a principled, as well as pra…
Participatory Approaches in AI Development and Governance: A Principled Approach
Ambreesh Parthasarathy, Aditya Phalnikar, Ameen Jauhar +3
The widespread adoption of Artificial Intelligence (AI) technologies in the public and private sectors has resulted in them significantly impacting the lives of people in new and u…
Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation
Atharvan Dogra, Krishna Pillutla, Ameet Deshpande +5
We explore the ability of large language models (LLMs) to engage in subtle deception through strategically phrasing and intentionally manipulating information. This harmful behavio…
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
Yogesh Tripathi, Raghav Donakanti, Sahil Girhepuje +7
Recent advancements in language technology and Artificial Intelligence have resulted in numerous Language Models being proposed to perform various tasks in the legal domain ranging…