Zobrazeno 1 - 10
of 394
pro vyhledávání: '"Kaavya, P."'
Autor:
Abreu, Rui, Murali, Vijayaraghavan, Rigby, Peter C, Maddila, Chandra, Sun, Weiyan, Ge, Jun, Chinniah, Kaavya, Mockus, Audris, Mehta, Megh, Nagappan, Nachiappan
Release engineering has traditionally focused on continuously delivering features and bug fixes to users, but at a certain scale, it becomes impossible for a release engineering team to determine what should be released. At Meta's scale, the responsi
Externí odkaz:
http://arxiv.org/abs/2410.06351
The volunteer's dilemma is a well-known game in game theory that models the conflict players face when deciding whether to volunteer for a collective benefit, knowing that volunteering incurs a personal cost. In this work, we introduce a quantum vari
Externí odkaz:
http://arxiv.org/abs/2409.05708
This report analyzes the potential for large language models (LLMs) to expedite accurate replication of published message effects studies. We tested LLM-powered participants (personas) by replicating 133 experimental findings from 14 papers containin
Externí odkaz:
http://arxiv.org/abs/2408.16073
Recent experimental advances have made it possible to implement logical multi-qubit transversal gates on surface codes in a multitude of platforms. A transversal controlled-NOT (tCNOT) gate on two surface codes introduces correlated errors across the
Externí odkaz:
http://arxiv.org/abs/2408.01393
Recently, a lot of effort has been devoted towards designing erasure qubits in which dominant physical noise excites leakage states whose population can be detected and returned to the qubit subspace. Interest in these erasure qubits has been driven
Externí odkaz:
http://arxiv.org/abs/2408.00842
Visual Question Answering (VQA) models play a critical role in enhancing the perception capabilities of autonomous driving systems by allowing vehicles to analyze visual inputs alongside textual queries, fostering natural interaction and trust betwee
Externí odkaz:
http://arxiv.org/abs/2406.09203
In this paper we address the challenge of improving Automatic Speech Recognition (ASR) for a low-resource language, Hawaiian, by incorporating large amounts of independent text data into an ASR foundation model, Whisper. To do this, we train an exter
Externí odkaz:
http://arxiv.org/abs/2404.03073
Autor:
Olakangil, Anthony, Wang, Cindy, Nguyen, Justin, Zhou, Qunbo, Jethwa, Kaavya, Li, Jason, Narendra, Aryan, Patel, Nishk, Rajaram, Arjun
After the COVID-19 pandemic caused internet usage to grow by 70%, there has been an increased number of people all across the world using social media. Applications like Twitter, Meta Threads, YouTube, and Reddit have become increasingly pervasive, l
Externí odkaz:
http://arxiv.org/abs/2310.05964
Autor:
Nilesh Nirmal, Pranav Vashisht, Sonali Sharma, Lovepreet Singh, Nancy Awasti, Shikhadri Mahanta, Aakash Gill, Kaavya Rathnakumar, Anandu Chandra Khanashyam
Publikováno v:
Discover Food, Vol 4, Iss 1, Pp 1-20 (2024)
Abstract Nanotechnology has come up as an advanced domain in the food packaging field that has proved to be an effective solution for increasing shelf life and ensuring food products’ safety. Integration of metal-based nanoparticles with different
Externí odkaz:
https://doaj.org/article/c7718301ac5c4fe4983e0b15d5adf5ce
Publikováno v:
Proceedings of the Irish Machine Vision and Image Processing Conference 2023
This short paper presents a preliminary analysis of three popular Visual Question Answering (VQA) models, namely ViLBERT, ViLT, and LXMERT, in the context of answering questions relating to driving scenarios. The performance of these models is evalua
Externí odkaz:
http://arxiv.org/abs/2307.09329