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Publication search results
found 104 matches
- 2024
- Gautam Kumar, Sahil Yadav, Aniruddha Mukherjee, Vikas Hassija, Mohsen Guizani:
Recent Advances in Quantum Computing for Drug Discovery and Development. IEEE Access 12: 64491-64509 (2024) - M. S. Panwar, Vikas Barnwal, Chandra Prakash Yadav:
A latent variable approach for modeling recall-based time-to-event data with Weibull distribution. Comput. Stat. 39(4): 2343-2374 (2024) - Dilip Yadav, Nidhi Singh, Nimay Chandra Giri, Vikas Singh Bhadoria, Subrata K. Sarkar:
Comparison of Bioinspired Techniques for Tracking Maximum Power under Variable Environmental Conditions. Int. J. Intell. Syst. 2024: 1-29 (2024) - Vikas Goyal, Ajay Yadav, Santosh Kumar, Rahul Mukherjee:
Lightweight LAE for Anomaly Detection With Sound-Based Architecture in Smart Poultry Farm. IEEE Internet Things J. 11(5): 8199-8209 (2024) - Ravindra Kumar Yadav, Vikas Singh Bhadoria, P. N. Hrisheekesha:
Demand side management using ant colony optimization algorithm in renewable energy integrated smart grid. J. Intell. Fuzzy Syst. 46(4): 7627-7642 (2024) - Jyoti Jaglan, Ankit Singh, Vikas Maurya, Vivek S. Yadav, Manoj K. Rajpoot:
Strong stability preserving multiderivative time marching methods for stiff reaction-diffusion systems. Math. Comput. Simul. 225: 267-282 (2024) - Vikas Maurya, Ankit Singh, Vivek S. Yadav, Manoj K. Rajpoot:
Efficient pricing of options in jump-diffusion models: Novel implicit-explicit methods for numerical valuation. Math. Comput. Simul. 217: 202-225 (2024) - Shiv Shankar Prasad Shukla, Vikas Kumar Jain, Anil Kumar Yadav, Samir Kumar Pandey:
Fourth wave Covid19 analyzing using mathematical seirs epidemic model & deep neural network. Multim. Tools Appl. 83(9): 27507-27526 (2024) - Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin:
Explicit over Implict: Explicit Diversity Conditions for Effective Question Answer Generation. LREC/COLING 2024: 6876-6882 - Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR 2024 - Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin:
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. NAACL-HLT 2024: 6065-6086 - Vikas Yadav, Zheng Tang, Vijay Srinivasan:
PAG-LLM: Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. SIGIR 2024: 2569-2573 - Pulkit Pattnaik, Rishabh Maheshwary, Kelechi Ogueji, Vikas Yadav, Sathwik Tejaswi Madhusudhan:
Curry-DPO: Enhancing Alignment using Curriculum Learning & Ranked Preferences. CoRR abs/2403.07230 (2024) - Rishabh Maheshwary, Vikas Yadav, Hoang Nguyen, Khyati Mahajan, Sathwik Tejaswi Madhusudhan:
M2Lingual: Enhancing Multilingual, Multi-Turn Instruction Alignment in Large Language Models. CoRR abs/2406.16783 (2024) - Vikas Yadav, Zheng Tang, Vijay Srinivasan:
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors. CoRR abs/2406.17163 (2024) - Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary, Paul-Ioan Clotan, Sathwik Tejaswi Madhusudhan, Mihai Surdeanu:
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels. CoRR abs/2406.17415 (2024) - Vikas Yadav, Hyuk Joon Kwon, Vijay Srinivasan, Hongxia Jin:
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models. CoRR abs/2406.17990 (2024) - Nishanth Madhusudhan, Sathwik Tejaswi Madhusudhan, Vikas Yadav, Masoud Hashemi:
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models. CoRR abs/2407.16221 (2024) - 2023
- Ravindra Kumar Yadav, P. N. Hrisheekesha, Vikas Singh Bhadoria:
Grey Wolf Optimization Based Demand Side Management in Solar PV Integrated Smart Grid Environment. IEEE Access 11: 11827-11839 (2023) - Dilip Yadav, Nidhi Singh, Vikas Singh Bhadoria, Vasiliki Vita, Georgios Fotis, Eleftherios G. Tsampasis, Theodoros I. Maris:
Analysis of the Factors Influencing the Performance of Single- and Multi-Diode PV Solar Modules. IEEE Access 11: 95507-95525 (2023) - Anuja Arora, Vikas Hassija, Shivam Bansal, Siddharth Yadav, Vinay Chamola, Amir Hussain:
A novel multimodal online news popularity prediction model based on ensemble learning. Expert Syst. J. Knowl. Eng. 40(8) (2023) - Anuja Arora, Arti Jain, Divakar Yadav, Vikas Hassija, Vinay Chamola, Biplab Sikdar:
Next Generation of Multi-Agent Driven Smart City Applications and Research Paradigms. IEEE Open J. Commun. Soc. 4: 2104-2121 (2023) - Avaneesh Kumar Yadav, Animesh Sharma, Vikas Yadav, Neha Kalia:
Rfpssih: reducing false positive text detection sequels in scenery images using hybrid technique. Int. J. Syst. Assur. Eng. Manag. 14(6): 2289-2300 (2023) - Alokik Vijay, Tushar Garg, Vikas Goyal, Rashmi, Ajay Yadav, Rahul Mukherjee:
A Low-Cost Edge-IoT Based Smart Poultry Farm. COMSNETS 2023: 397-399 - Shreya Shukla, Prajwal Gatti, Yogesh Kumar, Vikash Yadav, Anand Mishra:
Towards Making Flowchart Images Machine Interpretable. ICDAR (5) 2023: 505-521 - Mayur Rahul, Sonu Kumar Jha, Sarvachan Verma, Vikash Yadav, Devendra Kumar Dellwar:
An efficient Multilingual Speaker Recognition system using fusion technique. SCCTT 2023: 54-63 - Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin:
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR abs/2307.08701 (2023) - Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin:
Virtual Prompt Injection for Instruction-Tuned Large Language Models. CoRR abs/2307.16888 (2023) - 2022
- Vivek S. Yadav, Vikas Maurya, Manoj K. Rajpoot, Jyoti Jaglan:
Spatiotemporal pattern formations in stiff reaction-diffusion systems by new time marching methods. Appl. Math. Comput. 431: 127299 (2022) - Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri:
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput. Biol. Medicine 146: 105571 (2022)
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