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ORCIDPraveen Venkateswaran
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2020 – today
- 2024
[c19]Walter Gerych, Yara Rizk, Vatche Isahagian, Vinod Muthusamy, Evelyn Duesterwald, Praveen Venkateswaran:
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. AAAI 2024: 18065-18072- [c18]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, G. P. Shrivatsa Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachindra Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. EMNLP (Industry Track) 2024: 1131-1139 - [c17]Evelyn Duesterwald, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Gegi Thomas, Praveen Venkateswaran:
A Conversational Assistant Framework for Automation. Middleware Industry 2024: 1-7 - [i6]Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone, Rameswar Panda, Yara Rizk, GP Bhargav, Maxwell Crouse, Chulaka Gunasekara, Shajith Ikbal, Sachin Joshi, Hima Karanam, Vineet Kumar, Asim Munawar, Sumit Neelam, Dinesh Raghu, Udit Sharma, Adriana Meza Soria, Dheeraj Sreedhar, Praveen Venkateswaran, Merve Unuvar, David Cox, Salim Roukos, Luis A. Lastras, Pavan Kapanipathi:
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. CoRR abs/2407.00121 (2024) - [i5]Rudra Murthy, Prince Kumar, Praveen Venkateswaran, Danish Contractor:
Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks. CoRR abs/2410.12972 (2024) - 2023
- [c16]Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian:
FedGen: Generalizable Federated Learning for Sequential Data. CLOUD 2023: 308-318 - [c15]Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Austin Narcomey, Vinod Muthusamy:
A Case for Business Process-Specific Foundation Models. Business Process Management Workshops 2023: 44-56 - [c14]Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian:
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning. EMNLP 2023: 5101-5112 - [c13]Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian, Ashu Gulati, Parijat Dube:
Towards large language model-based personal agents in the enterprise: Current trends and open problems. EMNLP (Findings) 2023: 6909-6921 - [c12]Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian:
TaskDiff: A Similarity Metric for Task-Oriented Conversations. EMNLP 2023: 16234-16240 - [i4]Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk, Vatche Isahagian:
TaskDiff: A Similarity Metric for Task-Oriented Conversations. CoRR abs/2310.15298 (2023) - 2022
- [c11]Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Kartik Talamadupula:
Can You Teach Robotic Process Automation Bots New Tricks? BPM (Blockchain and RPA Forum) 2022: 246-259 - [c10]Praveen Venkateswaran, Vinod Muthusamy, Yara Rizk, Vatche Isahagian:
Towards Continual Learning in Interactive Digital Assistants for Process Automation. PMAI@IJCAI 2022: 85-88 - [c9]Chia-Ying Hsieh, Praveen Venkateswaran, Nalini Venkatasubramanian, Cheng-Hsin Hsu:
T2C: A Multi-User System for Deploying DNNs in a Thing-to-Cloud Continuum. MSN 2022: 255-262 - [i3]Yara Rizk, Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy:
A Case for Business Process-Specific Foundation Models. CoRR abs/2210.14739 (2022) - [i2]Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian:
FedGen: Generalizable Federated Learning. CoRR abs/2211.01914 (2022) - [i1]Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian:
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning. CoRR abs/2212.02851 (2022) - 2021
- [b1]Praveen Venkateswaran:
Leveraging Community Structure and Behavior for Smart Infrastructure. University of California, Irvine, USA, 2021 - [j1]Praveen Venkateswaran
, Kyle E. Benson, Chia-Ying Hsieh, Cheng-Hsin Hsu, Sharad Mehrotra, Nalini Venkatasubramanian:
REAM: A Framework for Resource Efficient Adaptive Monitoring of Community Spaces. Pervasive Mob. Comput. 76: 101459 (2021) - [c8]Praveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian:
Robust and Generalizable Predictive Models for Business Processes. BPM 2021: 105-122 - [c7]Praveen Venkateswaran, Vinod Muthusamy, Vatche Isahagian, Nalini Venkatasubramanian:
Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets. KDD 2021: 1615-1624 - 2020
- [c6]Praveen Venkateswaran, Cheng-Hsin Hsu, Sharad Mehrotra, Nalini Venkatasubramanian:
REAM: Resource Efficient Adaptive Monitoring of Community Spaces at the Edge Using Reinforcement Learning. SMARTCOMP 2020: 17-24
2010 – 2019
- 2019
- [c5]Praveen Venkateswaran, Mahima Agumbe Suresh, Nalini Venkatasubramanian:
Augmenting in-situ with mobile sensing for adaptive monitoring of water distribution networks. ICCPS 2019: 151-162 - 2018
- [c4]Saumya Gupta, Praveen Venkateswaran, Shruti Khurana, Sindhuri Rayavaram:
Touch To Talk: A Wearable Representing Social Media Metaphors. CHI Extended Abstracts 2018 - [c3]Praveen Venkateswaran, Qing Han, Ronald T. Eguchi, Nalini Venkatasubramanian:
Impact driven sensor placement for leak detection in community water networks. ICCPS 2018: 77-87 - 2016
- [c2]Praveen Venkateswaran, Aruna Malapati, Maitreya Natu, Vaishali P. Sadaphal:
Towards next-generation alert management of data centers. COMSNETS 2016: 1-2 - [c1]Praveen Venkateswaran, Vikrant Shimpi, Maitreya Natu, Vaishali P. Sadaphal:
Domain Driven Forecasting: Applying Theory Into Practice. ICDM Workshops 2016: 584-591
Coauthor Index
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last updated on 2024-11-25 22:42 CET by the dblp team
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