Praveen Venkateswaran
Orcid: 0000-0003-0042-4164
According to our database1,
Praveen Venkateswaran
authored at least 25 papers
between 2016 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks.
CoRR, 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR, 2024
Proceedings of the 25th International Middleware Conference Industrial Track, 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Towards large language model-based personal agents in the enterprise: Current trends and open problems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Business Process Management Workshops, 2023
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023
2022
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
Proceedings of the Workshop on Process Management in the AI Era (PMAI 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
Proceedings of the Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum, 2022
2021
PhD thesis, 2021
Pervasive Mob. Comput., 2021
Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the Business Process Management - 19th International Conference, 2021
2020
REAM: Resource Efficient Adaptive Monitoring of Community Spaces at the Edge Using Reinforcement Learning.
Proceedings of the IEEE International Conference on Smart Computing, 2020
2019
Augmenting in-situ with mobile sensing for adaptive monitoring of water distribution networks.
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, 2019
2018
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 8th International Conference on Communication Systems and Networks, 2016