| DCrop: A deep-learning based framework for accurate prediction of diseases of crops in smart agriculture V Pallagani, V Khandelwal, B Chandra, V Udutalapally, D Das, ... 2019 IEEE international symposium on smart electronic systems (iSES …, 2019 | 255 | 2019 |
| IoT based smart home automation system using sensor node H Singh, V Pallagani, V Khandelwal, U Venkanna 2018 4th International Conference on Recent Advances in Information …, 2018 | 175 | 2018 |
| sCrop: A novel device for sustainable automatic disease prediction, crop selection, and irrigation in Internet-of-Agro-Things for smart agriculture V Udutalapally, SP Mohanty, V Pallagani, V Khandelwal IEEE Sensors Journal 21 (16), 17525-17538, 2020 | 100 | 2020 |
| Plansformer: Generating symbolic plans using transformers V Pallagani, B Muppasani, K Murugesan, F Rossi, L Horesh, B Srivastava, ... Generalization in Planning (GenPlan) Workshop at NeurIPS, 2023, 2022 | 34 | 2022 |
| Understanding the capabilities of large language models for automated planning V Pallagani, B Muppasani, K Murugesan, F Rossi, B Srivastava, L Horesh, ... arXiv preprint arXiv:2305.16151, 2023 | 21 | 2023 |
| On the prospects of incorporating large language models (llms) in automated planning and scheduling (aps) V Pallagani, K Roy, B Muppasani, F Fabiano, A Loreggia, K Murugesan, ... 34th International Conference on Automated Planning and Scheduling, 2024 | 15 | 2024 |
| Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes K Lakkaraju, SKR Vuruma, V Pallagani, B Muppasani, B Srivastava FinPlan 2023, 51, 2023 | 11 | 2023 |
| A generic dialog agent for information retrieval based on automated planning within a reinforcement learning platform V Pallagani, B Srivastava Bridging the Gap Between AI Planning and Reinforcement Learning (PRL) 3, 2021 | 11 | 2021 |
| Fast and slow planning F Fabiano, V Pallagani, MB Ganapini, L Horesh, A Loreggia, ... arXiv preprint arXiv:2303.04283, 2023 | 9 | 2023 |
| Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers V Pallagani, B Muppasani, B Srivastava, F Rossi, L Horesh, K Murugesan, ... Thirty-Second International Joint Conference on Artificial Intelligence …, 2023 | 7 | 2023 |
| Medical knowledge-enriched textual entailment framework S Yadav, V Pallagani, A Sheth Proceedings of the 28th International Conference on Computational Linguistics, 2020 | 7 | 2020 |
| LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making K Lakkaraju, SE Jones, SKR Vuruma, V Pallagani, BC Muppasani, ... Proceedings of the Fourth ACM International Conference on AI in Finance, 100-107, 2023 | 5 | 2023 |
| A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process V Pallagani, P Ramamurthy, V Khandelwal, R Venkataramanan, ... 2022 Workshop on Knowledge Engineering for Planning and Scheduling, 2022 | 5 | 2022 |
| A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency B Muppasani, V Pallagani, B Srivastava, R Mutharaju, MN Huhns, ... arXiv preprint arXiv:2307.13549, 2023 | 3 | 2023 |
| On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations B Muppasani, V Pallagani, B Srivastava, F Agostinelli arXiv preprint arXiv:2307.13552, 2023 | 3 | 2023 |
| On safe and usable chatbots for promoting voter participation B Muppasani, V Pallagani, K Lakkaraju, S Lei, B Srivastava, B Robertson, ... AI Magazine 44 (3), 240-247, 2023 | 2 | 2023 |
| Building and Using a Planning Ontology from Past Data for Performance Efficiency. B Muppasani, V Pallagani, B Srivastava, R Mutharaju PLATO@ ICAPS, 2023 | 2 | 2023 |
| Psychidemic: measuring the spatio-temporal psychological impact of novel choronovirus with a social quality index M Gaur, U Kursuncu, V Khandelwal, V Pallagani, V Shalin, A Sheth | 2* | 2020 |
| Harnessing Large Language Models for Planning: A Lab on Strategies for Success and Mitigation of Pitfalls V Pallagani, K Murugesan, B Srivastava, F Rossi, L Horesh AAAI Conference on Artificial Intelligence, 2024 | 1 | 2024 |
| Plan-SOFAI: A Neuro-Symbolic Planning Architecture F Fabiano, V Pallagani, MB Ganapini, L Horesh, A Loreggia, ... Neuro-Symbolic Learning and Reasoning in the era of Large Language Models, 2023 | 1 | 2023 |
Biplav SrivastavaUniversity of South Carolina在 sc.edu 的电子邮件经过验证
