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ORCIDVishal Pallagani
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2020 – today
- 2024
[j2]Amit P. Sheth
, Vishal Pallagani, Kaushik Roy:
Neurosymbolic AI for Enhancing Instructability in Generative AI. IEEE Intell. Syst. 39(5): 5-11 (2024)- [c9]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 - [i15]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) - [i14]Biplav Srivastava, Vishal Pallagani:
The Case for Developing a Foundation Model for Planning-like Tasks from Scratch. CoRR abs/2404.04540 (2024) - [i13]Vishal Pallagani, Biplav Srivastava, Nitin Gupta:
PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks. CoRR abs/2407.13597 (2024) - [i12]Amit P. Sheth, Vishal Pallagani, Kaushik Roy:
Neurosymbolic AI for Enhancing Instructability in Generative AI. CoRR abs/2407.18722 (2024) - 2023
- [j1]Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan:
On safe and usable chatbots for promoting voter participation. AI Mag. 44(3): 240-247 (2023) - [c8]Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Value-based Fast and Slow AI Nudging. ETHAICS@IJCAI 2023 - [c7]Kausik Lakkaraju, Sara E. Jones, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath C. Muppasani, Biplav Srivastava:
LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making. ICAIF 2023: 100-107 - [c6]Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli:
Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. IJCAI 2023: 7158-7162 - [c5]Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju:
Building and Using a Planning Ontology from Past Data for Performance Efficiency. PLATO@ICAPS 2023 - [i11]Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava:
Fast and Slow Planning. CoRR abs/2303.04283 (2023) - [i10]Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia:
Understanding the Capabilities of Large Language Models for Automated Planning. CoRR abs/2305.16151 (2023) - [i9]Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava:
Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes. CoRR abs/2307.07422 (2023) - [i8]Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable:
Value-based Fast and Slow AI Nudging. CoRR abs/2307.07628 (2023) - [i7]Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan:
A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency. CoRR abs/2307.13549 (2023) - [i6]Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli:
On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations. CoRR abs/2307.13552 (2023) - 2022
- [i5]Vishal Pallagani, Priyadharsini Ramamurthy, Vedant Khandelwal, Revathy Venkataramanan, Kausik Lakkaraju, Sathyanarayanan N. Aakur, Biplav Srivastava:
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process. CoRR abs/2203.17109 (2022) - [i4]Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Lior Horesh, Biplav Srivastava, Francesco Fabiano, Andrea Loreggia:
Plansformer: Generating Symbolic Plans using Transformers. CoRR abs/2212.08681 (2022) - [i3]Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett W. Robertson, Andrea Hickerson, Vignesh Narayanan:
On Safe and Usable Chatbots for Promoting Voter Participation. CoRR abs/2212.11219 (2022) - 2021
- [c4]Francesco Fabiano, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava:
Epistemic Planning in a Fast and Slow Setting. TFSOCTAI@AAAI Fall Symposium 2021 - 2020
- [c3]Shweta Yadav, Vishal Pallagani, Amit P. Sheth:
Medical Knowledge-enriched Textual Entailment Framework. COLING 2020: 1795-1801 - [i2]Venkanna Udutalapally, Saraju P. Mohanty, Vishal Pallagani, Vedant Khandelwal:
sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction. CoRR abs/2005.06342 (2020) - [i1]Shweta Yadav, Vishal Pallagani, Amit P. Sheth:
Medical Knowledge-enriched Textual Entailment Framework. CoRR abs/2011.05257 (2020)
2010 – 2019
- 2019
- [c2]Vishal Pallagani, Vedant Khandelwal, Bharath Chandra, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty:
dCrop: A Deep-Learning Based Framework for Accurate Prediction of Diseases of Crops in Smart Agriculture. iSES 2019: 29-33 - 2018
- [c1]Himanshu Singh, Vishal Pallagani, Vedant Khandelwal, U. Venkanna:
IoT based smart home automation system using sensor node. RAIT 2018: 1-5
Coauthor Index
aka: Bharath C. Muppasani
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