Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks
- Ibrahim Abdelaziz
- Kinjal Basu
- et al.
- 2024
- EMNLP 2024
Praveen Venkateswaran
Bio
Praveen is a Research Scientist at the IBM Research Cambridge lab. His current research interests include conversational systems, domain generalization and AI for code. He received his PhD in Computer Science from UC Irvine, and has previously worked on problems across time-series analytics, IoT, and business process automation.
Publications
Who Knows The Answer? Finding the Best Model And Prompt For Each Query Using Confidence-Based Search
- Walter Gerych
- Yara Rizk
- et al.
- 2024
- AAAI 2024
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
- Praveen Venkateswaran
- Evelyn Duesterwald
- et al.
- 2023
- EMNLP 2023
TaskDiff: A Similarity Metric for Task-Oriented Conversations
- Ankita Bhaumik
- Praveen Venkateswaran
- et al.
- 2023
- EMNLP 2023
Towards large language model-based personal agents in the enterprise: Current trends and open problems
- Vinod Muthusamy
- Yara Rizk
- et al.
- 2023
- EMNLP 2023
A Case for Business Process-Specific Foundation Models
- 2023
- BPM 2023
FedGen: Generalizable Federated Learning for Sequential Data
- Praveen Venkateswaran
- Vatche Isahagian
- et al.
- 2023
- CLOUD 2023
T2C: A Multi-User System for Deploying DNNs in a Thing-to-Cloud Continuum
- Chia-Ying Hsieh
- Praveen Venkateswaran
- et al.
- 2022
- MSN 2022
Can You Teach Robotic Process Automation Bots New Tricks?
- 2022
- BPM 2022
Towards Continual Learning in Interactive Digital Assistants for Process Automation
- 2022
- IJCAI 2022
Projects
Building a unified Digital Labor platform with conversation, orchestration, and training capabilities.
Top collaborators
VI
Vatche Isahagian
Senior Research Scientist and Manager
YR
Yara Rizk
Research staff member - AI
VM
Vinod Muthusamy
Principal Research Scientist, IBM Research AI
SJ
Sachin Joshi
Distinguished Engineer, Manager - Conversational Platforms