Kaushik Roy - RankMe

60 papers A* 4B 1Journal 42Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking. AAAI Ritvik Garimella, Kaushik Roy, Chathurangi Shyalika, Amit P. Sheth
2025	J	`jnl`	Cognitive Neurosymbolic Artificial Intelligence for Complex Decision-Making: Integrating Foundation Models, Cognitive Architectures, and Knowledge. IEEE Intell. Syst. Yuxin Zi, Kaushik Roy, Amit P. Sheth
2025	J	`jnl`	Composite AI With Custom, Compact, Neurosymbolic Models: The Emergent Enterprise Artificial Intelligence Paradigm. IEEE Internet Comput. Amit P. Sheth, Kaushik Roy, Revathy Venkataramanan, Venkatesan Nadimuthu, Chathurangi Shyalika
2025	J	`jnl`	Large Language Models for Mental Health Diagnostic Assessments: Exploring The Potential of Large Language Models for Assisting with Mental Health Diagnostic Assessments - The Depression and Anxiety Case. CoRR Kaushik Roy, Harshul Surana, Darssan Eswaramoorthi, Yuxin Zi, Vedant Palit, Ritvik Garimella, Amit P. Sheth
2025	J	`jnl`	NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews. CoRR Vedant Khandelwal, Kaushik Roy, Valerie Lookingbill, Ritvik Garimella, Harshul Surana, Heather Heckman, Amit P. Sheth
2025	J	`jnl`	NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems. IEEE Intell. Syst. Amit P. Sheth, Vedant Khandelwal, Kaushik Roy, Vishal Pallagani, Megha Chakraborty
2024	—	`conf`	Causal Event Graph-Guided Language-based Spatiotemporal Question Answering. AAAI Spring Symposia Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan, Amit P. Sheth
2024	J	`jnl`	Civilizing and Humanizing Artificial Intelligence in the Age of Large Language Models. IEEE Internet Comput. Amit P. Sheth, Kaushik Roy, Hemant Purohit, Amitava Das
2024	J	`jnl`	Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. Frontiers Big Data Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit P. Sheth
2024	—	`conf`	Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge. AAAI Spring Symposia Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Amit P. Sheth
2024	A*	`conf`	GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. AAAI Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth
2024	—	`conf`	Hi Model, generating "nice" instead of "good" is not as bad as generating "rice"! Towards Context and Semantic Infused Dialogue Generation Loss Function. ECML/PKDD (8) Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya
2024	—	`conf`	K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. AAAI Spring Symposia Kanak Raj, Kaushik Roy, Vamshi Bonagiri, Priyanshul Govil, Krishnaprasad Thirunarayan, Raxit Goswami, Manas Gaur
2024	—	`conf`	L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
2024	J	`jnl`	Neurosymbolic AI for Enhancing Instructability in Generative AI. CoRR Amit P. Sheth, Vishal Pallagani, Kaushik Roy
2024	J	`jnl`	Neurosymbolic AI for Enhancing Instructability in Generative AI. IEEE Intell. Syst. Amit P. Sheth, Vishal Pallagani, Kaushik Roy
2024	J	`jnl`	Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. Amit P. Sheth, Kaushik Roy
2024	A*	`conf`	On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). ICAPS Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
2024	J	`jnl`	On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
2024	J	`jnl`	RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines. Sensors Chathurangi Shyalika, Kaushik Roy, Renjith Prasad, Fadi El Kalach, Yuxin Zi, Priya Mittal, Vignesh Narayanan, Ramy F. Harik, Amit P. Sheth
2023	B	`conf`	Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. SMC Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
2023	J	`jnl`	Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. CoRR Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
2023	A*	`conf`	Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. AAAI Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth
2023	J	`jnl`	Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. CoRR Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth
2023	J	`jnl`	GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews. CoRR Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Vera, Amit P. Sheth, Heather Heckman
2023	J	`jnl`	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. CoRR Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya
2023	J	`jnl`	IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2023	J	`jnl`	K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries. CoRR Kanak Raj, Kaushik Roy, Manas Gaur
2023	—	`conf`	Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CAI Kaushik Roy, Tarun Garg, Vedant Palit
2023	J	`jnl`	Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CoRR Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
2023	J	`jnl`	Knowledge-Infused Self Attention Transformers. CoRR Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2023	J	`jnl`	L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
2023	J	`jnl`	Neurosymbolic AI - Why, What, and How. CoRR Amit P. Sheth, Kaushik Roy, Manas Gaur
2023	J	`jnl`	Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. Amit P. Sheth, Kaushik Roy, Manas Gaur
2023	J	`jnl`	Neurosymbolic Value-Inspired AI (Why, What, and How). CoRR Amit P. Sheth, Kaushik Roy
2023	J	`jnl`	ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
2023	J	`jnl`	Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
2023	J	`jnl`	RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding. CoRR Yuxin Zi, Hariram Veeramani, Kaushik Roy, Amit P. Sheth
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2022	J	`jnl`	Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa. CoRR Tarun Garg, Kaushik Roy, Amit P. Sheth
2022	J	`jnl`	KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
2022	J	`jnl`	Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
2022	J	`jnl`	ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
2022	J	`jnl`	Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
2022	J	`jnl`	Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
2022	J	`jnl`	Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth
2022	—	`conf`	Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth
2021	—	`conf`	"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth
2021	J	`jnl`	"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. CoRR Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth
2021	—	`conf`	"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
2021	J	`jnl`	"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. CoRR Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
2021	—	`conf`	Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	J	`jnl`	Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	—	`conf`	Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	J	`jnl`	Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
2021	J	`jnl`	Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
2021	J	`jnl`	Knowledge-intensive Language Understanding for Explainable AI. CoRR Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
2021	J	`jnl`	eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth
2020	—	`conf`	COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. AI4SG@AAAI Fall Symposium Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth
2020	J	`jnl`	COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data. CoRR Parth Asawa, Manas Gaur, Kaushik Roy, Amit P. Sheth