P
Pratyush Kumar
Researcher at Indian Institute of Technology Madras
Publications - 119
Citations - 2042
Pratyush Kumar is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Computer science & Scheduling (computing). The author has an hindex of 20, co-authored 110 publications receiving 1389 citations. Previous affiliations of Pratyush Kumar include École Polytechnique Fédérale de Lausanne & University of California, Santa Barbara.
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Proceedings ArticleDOI
IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages
Divyanshu Kakwani,Anoop Kunchukuttan,Satish Golla,N C Gokul,Avik Bhattacharyya,Mitesh M. Khapra,Pratyush Kumar +6 more
TL;DR: This paper introduces NLP resources for 11 major Indian languages from two major language families, and creates datasets for the following tasks: Article Genre Classification, Headline Prediction, Wikipedia Section-Title Prediction, Cloze-style Multiple choice QA, Winograd NLI and COPA.
Proceedings ArticleDOI
Evaluating and Informing the Design of Chatbots
TL;DR: A study with 16 first-time chatbot users interacting with eight chatbots over multiple sessions on the Facebook Messenger platform revealed that users preferred chatbots that provided either a 'human-like' natural language conversation ability, or an engaging experience that exploited the benefits of the familiar turn-based messaging interface.
Journal ArticleDOI
Adaptive Real-Time Communication for Wireless Cyber-Physical Systems
TL;DR: The Blink protocol is built on the non-real-time Low-Power Wireless Bus (LWB) and new scheduling algorithms based on the earliest-deadline-first policy are designed, which proves a global approach that does not use network state information as input can overcome limitations.
Journal ArticleDOI
Preparation and characterization of Co-doped TiO2 materials for solar light induced current and photocatalytic applications
Ibram Ganesh,Abhishek Gupta,Pratyush Kumar,P.S. Chandra Sekhar,K. Radha,G. Padmanabham,G. Sundararajan +6 more
TL;DR: In this paper, different amounts of Co-doped TiO2 powders and thin films were prepared by following a conventional co-precipitation and sol-gel dip coating technique, respectively.
Proceedings ArticleDOI
Energy efficient DVFS scheduling for mixed-criticality systems
TL;DR: It is shown that DVFS can be used to help critical tasks to meet deadlines by speeding up the processor when they overrun, which will allow the system to reserve less time budgets for task overrun and greatly reduce the expected energy consumption for mixed-criticality systems.