Kaushik Roy

According to our database, Kaushik Roy authored at least 32 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How).

Amit P. Sheth, Kaushik Roy

IEEE Intell. Syst., 2024

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS).

Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth

CoRR, 2024

L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱.

Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews.

Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Neurosymbolic Artificial Intelligence (Why, What, and How).

Amit P. Sheth, Kaushik Roy, Manas Gaur

IEEE Intell. Syst., 2023

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries.

Kanak Raj, Kaushik Roy, Manas Gaur

CoRR, 2023

RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding.

Yuxin Zi, Hariram Veeramani, Kaushik Roy, Amit P. Sheth

CoRR, 2023

Neurosymbolic Value-Inspired AI (Why, What, and How).

Amit P. Sheth, Kaushik Roy

CoRR, 2023

Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric.

Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya

CoRR, 2023

IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations.

Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

CoRR, 2023

Knowledge-Infused Self Attention Transformers.

Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

CoRR, 2023

Process Knowledge-infused Learning for Clinician-friendly Explanations.

Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth

CoRR, 2023

Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust.

Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth

CoRR, 2023

Neurosymbolic AI - Why, What, and How.

Amit P. Sheth, Kaushik Roy, Manas Gaur

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes.

Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case.

Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal

IEEE Internet Comput., 2022

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance.

Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth

Frontiers Big Data, 2022

KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts.

Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

CoRR, 2022

Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal

CoRR, 2022

Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa.

Tarun Garg, Kaushik Roy, Amit P. Sheth

CoRR, 2022

Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts.

Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth

CoRR, 2022

Process Knowledge-infused Learning for Suicidality Assessment on Social Media.

Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth

CoRR, 2022

Tutorial: Neuro-symbolic AI for Mental Healthcare.

Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

Knowledge-Intensive Language Understanding for Explainable AI.

Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu

IEEE Internet Comput., 2021

eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket.

Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth

CoRR, 2021

Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits.

Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit.

Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Knowledge Infused Policy Gradients for Adaptive Pandemic Control.

Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision.

Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data.

Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth

CoRR, 2020