Zobrazeno 1 - 10
of 731
pro vyhledávání: '"Sathwik"'
Autor:
Tiwari, Aman, Malay, Shiva Krishna Reddy, Yadav, Vikas, Hashemi, Masoud, Madhusudhan, Sathwik Tejaswi
Cypher, the query language for Neo4j graph databases, plays a critical role in enabling graph-based analytics and data exploration. While substantial research has been dedicated to natural language to SQL query generation (Text2SQL), the analogous pr
Externí odkaz:
http://arxiv.org/abs/2412.12612
Autor:
Rodriguez, Juan, Jian, Xiangru, Panigrahi, Siba Smarak, Zhang, Tianyu, Feizi, Aarash, Puri, Abhay, Kalkunte, Akshay, Savard, François, Masry, Ahmed, Nayak, Shravan, Awal, Rabiul, Massoud, Mahsa, Abaskohi, Amirhossein, Li, Zichao, Wang, Suyuchen, Noël, Pierre-André, Richter, Mats Leon, Vadacchino, Saverio, Agarwal, Shubbam, Biswas, Sanket, Shanian, Sara, Zhang, Ying, Bolger, Noah, MacDonald, Kurt, Fauvel, Simon, Tejaswi, Sathwik, Sunkara, Srinivas, Monteiro, Joao, Dvijotham, Krishnamurthy DJ, Scholak, Torsten, Chapados, Nicolas, Kharagani, Sepideh, Hughes, Sean, Özsu, M., Reddy, Siva, Pedersoli, Marco, Bengio, Yoshua, Pal, Christopher, Laradji, Issam, Gella, Spandanna, Taslakian, Perouz, Vazquez, David, Rajeswar, Sai
Multimodal AI has the potential to significantly enhance document-understanding tasks, such as processing receipts, understanding workflows, extracting data from documents, and summarizing reports. Code generation tasks that require long-structured o
Externí odkaz:
http://arxiv.org/abs/2412.04626
Autor:
Karnik, Sathwik, Hong, Zhang-Wei, Abhangi, Nishant, Lin, Yen-Chen, Wang, Tsun-Hsuan, Agrawal, Pulkit
Language-conditioned robot models (i.e., robotic foundation models) enable robots to perform a wide range of tasks based on natural language instructions. Despite strong performance on existing benchmarks, evaluating the safety and effectiveness of t
Externí odkaz:
http://arxiv.org/abs/2411.18676
The refractive index of a matter is foundational to quantify the light-matter interaction of the medium. However, the classical description of refractive index is based on macroscopic homogenization and is limited to describing the local optical resp
Externí odkaz:
http://arxiv.org/abs/2411.09876
This study proposes an advanced Federated Learning (FL) framework designed to enhance data privacy and security in IoT environments by integrating Decentralized Attribute-Based Encryption (DABE), Homomorphic Encryption (HE), Secure Multi-Party Comput
Externí odkaz:
http://arxiv.org/abs/2410.20259
Star formation rates (SFRs) are a crucial observational tracer of galaxy formation and evolution. Spectroscopy, which is expensive, is traditionally used to estimate SFRs. This study tests the possibility of inferring SFRs of large samples of galaxie
Externí odkaz:
http://arxiv.org/abs/2410.06736
The research focuses on determining the metallicity ([Fe/H]) predicted in the solar twin stars by using various regression modeling techniques which are, Random Forest, Linear Regression, Decision Tree, Support Vector, and Gradient Boosting. The data
Externí odkaz:
http://arxiv.org/abs/2410.06709
Autor:
Narkedimilli, Sathwik, Kumar, Rayachoti Arun, Kumar, N. V. Saran, Reddy, Ramapathruni Praneeth, C, Pavan Kumar
Vehicular Ad-Hoc Networks (VANETs) hold immense potential for improving traffic safety and efficiency. However, traditional centralized approaches for machine learning in VANETs raise concerns about data privacy and security. Federated Learning (FL)
Externí odkaz:
http://arxiv.org/abs/2407.21141
Abstention Ability (AA) is a critical aspect of Large Language Model (LLM) reliability, referring to an LLM's capability to withhold responses when uncertain or lacking a definitive answer, without compromising performance. Although previous studies
Externí odkaz:
http://arxiv.org/abs/2407.16221
Autor:
Bharadwaj, Sathwik, Jacob, Zubin
Nanophotonics, the study of light-matter interaction at scales smaller than the wavelength of radiation, has widespread applications in plasmonic waveguiding, topological photonic crystals, super-lensing, solar absorbers, and infrared imaging. The ph
Externí odkaz:
http://arxiv.org/abs/2407.15189