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Amit P. Sheth
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- affiliation: University of South Carolina, SC, USA
- affiliation (former): Wright State University, Dayton, Kno.e.sis Center
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2020 – today
- 2025
- [j178]Chathurangi Shyalika, Ruwan Wickramarachchi, Amit P. Sheth:
A Comprehensive Survey on Rare Event Prediction. ACM Comput. Surv. 57(3): 70:1-70:39 (2025) - 2024
- [j177]Manas Gaur, Amit P. Sheth:
Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety. AI Mag. 45(1): 139-155 (2024) - [j176]Amit P. Sheth, Kaushik Roy:
Neurosymbolic Value-Inspired Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 39(1): 5-11 (2024) - [j175]Goonmeet Bajaj, Valerie L. Shalin, Srinivasan Parthasarathy, Amit P. Sheth:
Grounding From an AI and Cognitive Science Lens. IEEE Intell. Syst. 39(2): 66-71 (2024) - [j174]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
Causal Neurosymbolic AI: A Synergy Between Causality and Neurosymbolic Methods. IEEE Intell. Syst. 39(3): 13-19 (2024) - [j173]Amit P. Sheth, Vishal Pallagani, Kaushik Roy:
Neurosymbolic AI for Enhancing Instructability in Generative AI. IEEE Intell. Syst. 39(5): 5-11 (2024) - [j172]Revathy Venkataramanan, Swati Padhee, Saini Rohan Rao, Ronak Kaoshik, Anirudh Sundara Rajan, Amit P. Sheth:
Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning. Frontiers Big Data 6 (2024) - [j171]Hong Yung Yip, Amit P. Sheth:
The EMPWR Platform: Data and Knowledge-Driven Processes for the Knowledge Graph Lifecycle. IEEE Internet Comput. 28(1): 61-69 (2024) - [j170]Chathurangi Shyalika, Kaushik Roy, Renjith Prasad, Fadi El Kalach, Yuxin Zi, Priya Mittal, Vignesh Narayanan, Ramy F. Harik, Amit P. Sheth:
RI2AP: Robust and Interpretable 2D Anomaly Prediction in Assembly Pipelines. Sensors 24(10): 3244 (2024) - [j169]Chathurangi Shyalika, Ruwan Wickramarachchi, Fadi El Kalach, Ramy F. Harik, Amit P. Sheth:
Evaluating the Role of Data Enrichment Approaches towards Rare Event Analysis in Manufacturing. Sensors 24(15): 5009 (2024) - [c317]Kaushik Roy, Vedant Khandelwal, Valerie Vera, Harshul Surana, Heather Heckman, Amit P. Sheth:
GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. AAAI 2024: 23823-23825 - [c316]Kaushik Roy, Alessandro Oltramari, Yuxin Zi, Chathurangi Shyalika, Vignesh Narayanan, Amit P. Sheth:
Causal Event Graph-Guided Language-based Spatiotemporal Question Answering. AAAI Spring Symposia 2024: 227-233 - [c315]Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Amit P. Sheth:
Exploring Alternative Approaches to Language Modeling for Learning from Data and Knowledge. AAAI Spring Symposia 2024: 279-286 - [c314]Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur:
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS 2024: 592-594 - [c313]Thilini Wijesiriwardene, Ruwan Wickramarachchi, Aishwarya Naresh Reganti, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das:
On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models. EACL (Findings) 2024: 451-457 - [c312]Vishal Pallagani, Bharath C. Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth:
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). ICAPS 2024: 432-444 - [c311]Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Robin Dawson, Amit P. Sheth:
Personalized Bayesian Inference for Explainable Healthcare Management and Intervention. ICHI 2024: 725-731 - [c310]Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya:
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) 2024: 342-360 - [c309]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
Visual Causal Question and Answering with Knowledge Graph Link Prediction. ISWC (Posters/Demos/Industry) 2024 - [c308]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
Causal Knowledge Graph for Scene Understanding in Autnomous Driving. ISWC (Posters/Demos/Industry) 2024 - [c307]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth, Ramy F. Harik:
Causal Neuro-Symbolic AI for Root Cause Analysis in Smart Manufacturing. ISWC (Posters/Demos/Industry) 2024 - [c306]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
A Benchmark Knowledge Graph of Driving Scenes for Knowledge Completion Tasks. ISWC (Posters/Demos/Industry) 2024 - [c305]Yuxin Zi, Cory A. Henson, Amit P. Sheth:
Empowering Causal Machine Learning for Large-scale Manufacturing Pipelines with Knowledge Graphs. ISWC (Posters/Demos/Industry) 2024 - [i134]Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth:
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR abs/2401.02500 (2024) - [i133]Goonmeet Bajaj, Srinivasan Parthasarathy, Valerie L. Shalin, Amit P. Sheth:
Grounding from an AI and Cognitive Science Lens. CoRR abs/2402.13290 (2024) - [i132]Anku Rani, Vipula Rawte, Harshad Sharma, Neeraj Anand, Krishnav Rajbangshi, Amit P. Sheth, Amitava Das:
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations. CoRR abs/2403.17306 (2024) - [i131]Vipula Rawte, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Prachi Priya, Aman Chadha, Amit P. Sheth, Amitava Das:
"Sorry, Come Again?" Prompting - Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing. CoRR abs/2403.18976 (2024) - [i130]Vipula Rawte, S. M. Towhidul Islam Tonmoy, Krishnav Rajbangshi, Shravani Nag, Aman Chadha, Amit P. Sheth, Amitava Das:
FACTOID: FACtual enTailment fOr hallucInation Detection. CoRR abs/2403.19113 (2024) - [i129]Deepa Tilwani, Yash Saxena, Ali Mohammadi, Edward Raff, Amit P. Sheth, Srinivasan Parthasarathy, Manas Gaur:
REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. CoRR abs/2405.02228 (2024) - [i128]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
CausalDisco: Causal discovery using knowledge graph link prediction. CoRR abs/2405.02327 (2024) - [i127]Vedant Khandelwal, Amit P. Sheth, Forest Agostinelli:
Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems. CoRR abs/2406.02598 (2024) - [i126]Chathurangi Shyalika, Ruwan Wickramarachchi, Fadi El Kalach, Ramy F. Harik, Amit P. Sheth:
Evaluating the Role of Data Enrichment Approaches Towards Rare Event Analysis in Manufacturing. CoRR abs/2407.01644 (2024) - [i125]Ishan Kavathekar, Anku Rani, Ashmit Chamoli, Ponnurangam Kumaraguru, Amit P. Sheth, Amitava Das:
Counter Turing Test (CT2): Investigating AI-Generated Text Detection for Hindi - Ranking LLMs based on Hindi AI Detectability Index (ADIhi). CoRR abs/2407.15694 (2024) - [i124]Amit P. Sheth, Vishal Pallagani, Kaushik Roy:
Neurosymbolic AI for Enhancing Instructability in Generative AI. CoRR abs/2407.18722 (2024) - [i123]Renjith Prasad, Chathurangi Shyalika, Ramtin Zand, Fadi El Kalach, Revathy Venkataramanan, Ramy F. Harik, Amit P. Sheth:
AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines. CoRR abs/2408.02181 (2024) - [i122]Niyar R. Barman, Krish Sharma, Ashhar Aziz, Shashwat Bajpai, Shwetangshu Biswas, Vasu Sharma, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das:
The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks. CoRR abs/2408.10446 (2024) - [i121]Ishwar B. Balappanawar, Ashmit Chamoli, Ruwan Wickramarachchi, Aditya Mishra, Ponnurangam Kumaraguru, Amit P. Sheth:
Towards Infusing Auxiliary Knowledge for Distracted Driver Detection. CoRR abs/2408.16621 (2024) - [i120]Deepa Tilwani, Revathy Venkataramanan, Amit P. Sheth:
Neurosymbolic AI approach to Attribution in Large Language Models. CoRR abs/2410.03726 (2024) - [i119]Suryavardan S, Anku Rani, Parth Patwa, Aishwarya N. Reganti, Vinija Jain, Aman Chadha, Amitava Das, Amit P. Sheth, Asif Ekbal:
Overview of Factify5WQA: Fact Verification through 5W Question-Answering. CoRR abs/2410.04236 (2024) - [i118]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
HyperCausalLP: Causal Link Prediction using Hyper-Relational Knowledge Graph. CoRR abs/2410.14679 (2024) - [i117]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
Influence of Backdoor Paths on Causal Link Prediction. CoRR abs/2410.14680 (2024) - 2023
- [j168]Fadi El Kalach, Ruwan Wickramarachchi, Ramy F. Harik, Amit P. Sheth:
A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing. IEEE Intell. Syst. 38(1): 69-75 (2023) - [j167]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 38(3): 56-62 (2023) - [j166]Thilini Wijesiriwardene, Amit P. Sheth, Valerie L. Shalin, Amitava Das:
Why Do We Need Neurosymbolic AI to Model Pragmatic Analogies? IEEE Intell. Syst. 38(5): 12-16 (2023) - [j165]Revathy Venkataramanan, Aalap Tripathy, Martin Foltin, Hong Yung Yip, Annmary Justine, Amit P. Sheth:
Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability. IEEE Internet Comput. 27(1): 81-88 (2023) - [c304]Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth:
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. AAAI 2023: 16479-16481 - [c303]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data. AAAI 2023: 16491-16493 - [c302]Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera, Shreeyash Mukul Gowaikar, Chandan Gupta, Aman Chadha, Aishwarya Naresh Reganti, Amit P. Sheth, Amitava Das:
ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models. ACL (Findings) 2023: 3534-3549 - [c301]Anku Rani, S. M. Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit P. Sheth, Amitava Das:
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering. ACL (1) 2023: 10421-10440 - [c300]Shreyash Mishra, S. Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes. DE-FACTIFY@AAAI 2023 - [c299]Shreyash Mishra, S. Suryavardan, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes. DE-FACTIFY@AAAI 2023 - [c298]S. Suryavardan, Shreyash Mishra, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Findings of factify 2: multimodal fake news detection. DE-FACTIFY@AAAI 2023 - [c297]S. Suryavardan, Shreyash Mishra, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Factify 2: A multimodal fake news and satire news dataset. DE-FACTIFY@AAAI 2023 - [c296]Megha Chakraborty, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Shreya Gautam, Tanay Kumar, Krish Sharma, Niyar R. Barman, Chandan Gupta, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das:
Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI). EMNLP 2023: 2206-2239 - [c295]Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S. M. Towhidul Islam Tonmoy, Aman Chadha, Amit P. Sheth, Amitava Das:
The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations. EMNLP 2023: 2541-2573 - [c294]Megha Chakraborty, Khushbu Pahwa, Anku Rani, Shreyas Chatterjee, Dwip Dalal, Harshit Dave, Ritvik G, Preethi Gurumurthy, Adarsh Mahor, Samahriti Mukherjee, Aditya Pakala, Ishan Paul, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das:
FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering. EMNLP 2023: 15282-15322 - [c293]Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth:
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. SMC 2023: 981-986 - [c292]Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth:
An Ontology Design Pattern for Representing Causality. WOP@ISWC 2023: 31-42 - [c291]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:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [e23]Amitava Das, Amit P. Sheth, Asif Ekbal:
Proceedings of De-Factify 2: 2nd Workshop on Multimodal Fact Checking and Hate Speech Detection, co-located with AAAI 2023, Washington DC, USA, February 14, 2023. CEUR Workshop Proceedings 3555, CEUR-WS.org 2023 [contents] - [i116]Shreyash Mishra, Suryavardan S, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes. CoRR abs/2303.09892 (2023) - [i115]Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth:
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. CoRR abs/2304.00025 (2023) - [i114]Suryavardan S, Shreyash Mishra, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Naresh Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Factify 2: A Multimodal Fake News and Satire News Dataset. CoRR abs/2304.03897 (2023) - [i113]Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois R. Lamy, Raminta Daniulaityte, Amit P. Sheth:
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb. CoRR abs/2304.10512 (2023) - [i112]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic AI - Why, What, and How. CoRR abs/2305.00813 (2023) - [i111]Anku Rani, S. M. Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit P. Sheth, Amitava Das:
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering. CoRR abs/2305.04329 (2023) - [i110]Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth:
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CoRR abs/2305.04989 (2023) - [i109]Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera, Shreeyash Mukul Gowaikar, Chandan Gupta, Aman Chadha, Aishwarya Naresh Reganti, Amit P. Sheth, Amitava Das:
ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models. CoRR abs/2305.05050 (2023) - [i108]Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR abs/2305.08010 (2023) - [i107]Varuna Krishna, S. Suryavardan, Shreyash Mishra, Sathyanarayanan Ramamoorthy, Parth Patwa, Megha Chakraborty, Aman Chadha, Amitava Das, Amit P. Sheth:
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images. CoRR abs/2305.10438 (2023) - [i106]Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth:
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. CoRR abs/2306.01805 (2023) - [i105]Megha Chakraborty, Khushbu Pahwa, Anku Rani, Adarsh Mahor, Aditya Pakala, Arghya Sarkar, Harshit Dave, Ishan Paul, Janvita Reddy, Preethi Gurumurthy, Ritvik G, Samahriti Mukherjee, Shreyas Chatterjee, Kinjal Sensharma, Dwip Dalal, Suryavardan S, Shreyash Mishra, Parth Patwa, Aman Chadha, Amit P. Sheth, Amitava Das:
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering. CoRR abs/2306.05523 (2023) - [i104]Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth:
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR abs/2306.09824 (2023) - [i103]Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
Knowledge-Infused Self Attention Transformers. CoRR abs/2306.13501 (2023) - [i102]Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR abs/2306.13865 (2023) - [i101]S. Suryavardan, Shreyash Mishra, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Findings of Factify 2: Multimodal Fake News Detection. CoRR abs/2307.10475 (2023) - [i100]Thilini Wijesiriwardene, Amit P. Sheth, Valerie L. Shalin, Amitava Das:
Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies? CoRR abs/2308.01936 (2023) - [i99]Hong Yung Yip, Chidaksh Ravuru, Neelabha Banerjee, Shashwat Jha, Amit P. Sheth, Aman Chadha, Amitava Das:
RESTORE: Graph Embedding Assessment Through Reconstruction. CoRR abs/2308.14659 (2023) - [i98]Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya:
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 abs/2309.05804 (2023) - [i97]Vipula Rawte, Amit P. Sheth, Amitava Das:
A Survey of Hallucination in Large Foundation Models. CoRR abs/2309.05922 (2023) - [i96]Shreyash Mishra, S. Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar:
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes. CoRR abs/2309.06517 (2023) - [i95]Vipula Rawte, Prachi Priya, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Amit P. Sheth, Amitava Das:
Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness. CoRR abs/2309.11064 (2023) - [i94]Chathurangi Shyalika, Ruwan Wickramarachchi, Amit P. Sheth:
A Comprehensive Survey on Rare Event Prediction. CoRR abs/2309.11356 (2023) - [i93]Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S. M. Towhidul Islam Tonmoy, Aman Chadha, Amit P. Sheth, Amitava Das:
The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations. CoRR abs/2310.04988 (2023) - [i92]Megha Chakraborty, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Krish Sharma, Niyar R. Barman, Chandan Gupta, Shreya Gautam, Tanay Kumar, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das:
Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index. CoRR abs/2310.05030 (2023) - [i91]Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur:
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR abs/2311.06493 (2023) - [i90]Sumit Dalal, Deepa Tilwani, Manas Gaur, Sarika Jain, Valerie L. Shalin, Amit P. Sheth:
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression. CoRR abs/2311.13852 (2023) - [i89]Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das:
SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection. CoRR abs/2312.00292 (2023) - [i88]Manas Gaur, Amit P. Sheth:
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety. CoRR abs/2312.06798 (2023) - [i87]Amit P. Sheth, Kaushik Roy:
Neurosymbolic Value-Inspired AI (Why, What, and How). CoRR abs/2312.09928 (2023) - [i86]Yuxin Zi, Hariram Veeramani, Kaushik Roy, Amit P. Sheth:
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding. CoRR abs/2312.09932 (2023) - [i85]Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Vera, Amit P. Sheth, Heather Heckman:
GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews. CoRR abs/2312.09948 (2023) - 2022
- [j164]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems. IEEE Intell. Syst. 37(5): 42-49 (2022) - [j163]Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022) - [j162]Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu:
Defining and detecting toxicity on social media: context and knowledge are key. Neurocomputing 490: 312-318 (2022) - [j161]Utkarshani Jaimini, Amit P. Sheth:
CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning. IEEE Internet Comput. 26(1): 43-50 (2022) - [j160]Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth:
Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI. IEEE Internet Comput. 26(4): 5-11 (2022) - [j159]Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal:
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. 26(5): 76-84 (2022) - [j158]Utkarshani Jaimini, Tongtao Zhang, Georgia Olympia Brikis, Amit P. Sheth:
iMetaverseKG: Industrial Metaverse Knowledge Graph to Promote Interoperability in Design and Engineering Applications. IEEE Internet Comput. 26(6): 59-67 (2022) - [c290]Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal:
FACTIFY: A Multi-Modal Fact Verification Dataset. DE-FACTIFY@AAAI 2022 - [c289]Parth Patwa, Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Naresh Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Benchmarking Multi-Modal Entailment for Fact Verification (short paper). DE-FACTIFY@AAAI 2022 - [c288]Parth Patwa, Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Findings of Memotion 2: Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI 2022 - [c287]Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja:
Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI 2022 - [c286]Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Amit P. Sheth, Srinivasan Parthasarathy, Olivier Bodenreider:
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. Insights@ACL 2022: 82-87 - [c285]Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth:
Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems 2022: 28:1-28:3 - [c284]