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Publication search results
found 337 matches
- 2024
- Tran Anh Tuan, Tal Ze'evi, Stefan P. Haider, Gaby Abou Karam, Elisa R. Berson, Hishan Tharmaseelan, Adnan I. Qureshi, Pina C. Sanelli, David J. Werring, Ajay Malhotra, Nils H. Petersen, Adam DeHavenon, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash:
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. npj Digit. Medicine 7(1) (2024) - 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 - Saransh Jain, Yash Shethwala, Jnaneshwar Das:
Towards Model Predictive Control for Acrobatic Quadrotor Flights. CoRR abs/2401.17418 (2024) - 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) - 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) - 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) - Yiqing Xie, Alex Xie, Divyanshu Sheth, Pengfei Liu, Daniel Fried, Carolyn P. Rosé:
CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks. CoRR abs/2404.00566 (2024) - 2023
- 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) - Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi:
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds Mach. 33(1): 221-248 (2023) - Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi:
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds Mach. 33(1): 249 (2023) - Dhruhi Sheth, Manan Shah:
Predicting stock market using machine learning: best and accurate way to know future stock prices. Int. J. Syst. Assur. Eng. Manag. 14(1): 1-18 (2023) - 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 - 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 - 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 - Syrine Belakaria, Janardhan Rao Doppa, Nicolò Fusi, Rishit Sheth:
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. AISTATS 2023: 9076-9093 - Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan:
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. CIKM 2023: 4815-4821 - Oliver A. Chubet, Paul Macnichol, Parth Parikh, Donald R. Sheehy, Siddharth Sheth:
Greedy Permutations and Finite Voronoi Diagrams (Media Exposition). SoCG 2023: 64:1-64:5 - 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 - 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 - 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 - 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 - Punyajoy Saha, Divyanshu Sheth, Kushal Kedia, Binny Mathew, Animesh Mukherjee:
Rationale-Guided Few-Shot Classification to Detect Abusive Language. ECAI 2023: 2041-2048 - 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 - 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 - 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 - Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan:
Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys 2023: 780-787 - Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu:
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. ICDM (Workshops) 2023: 1430-1437 - Ivan Coronado, Samiksha Pachade, H. Dawoodally, Sergio Salazar Marioni, Juntao Yan, Rania Abdelkhaleq, M. Bahrainian, Amanda Jagolino-Cole, Roomasa Channa, Sunil A. Sheth, Luca Giancardo:
Foveal Avascular Zone Segmentation Using Deep Learning-Driven Image-Level Optimization and Fundus Photographs. ISBI 2023: 1-5 - Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo:
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images. ISBI 2023: 1-5 - Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou:
RelationalUNet for Image Segmentation. MLMI@MICCAI (1) 2023: 320-329
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