Praveen Venkateswaran

Publications

• Learning to Steer Large Language Models

  • • Erik Miehling
    • Irene Ko
    • et al.
  • 2026
  • AAAI 2026

• Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning

  • • Rahul Bhope
    • Jayaram Kr Kallapalayam Radhakrishnan
    • et al.
  • 2025
  • Middleware 2025

• OptiSeq: Ordering Examples On-The-Fly for In-Context Learning

  • • Rahul Bhope
    • Praveen Venkateswaran
    • et al.
  • 2025
  • EMNLP 2025

• Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks

  • • Ibrahim Abdelaziz
    • Kinjal Basu
    • et al.
  • 2024
  • EMNLP 2024

• 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

  • • Yara Rizk
    • Praveen Venkateswaran
    • et al.
  • 2023
  • BPM 2023

• FedGen: Generalizable Federated Learning for Sequential Data

  • • Praveen Venkateswaran
    • Vatche Isahagian
    • et al.
  • 2023
  • CLOUD 2023