115 citations · 237 across the 26 of their papers we have counts for
6 papers · 1 filter
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian
Dialogue State Tracking (DST), a key component of task-oriented conversation systems, represents user intentions by determining the values of pre-defined slots in an ongoing dialog…
A Case for Business Process-Specific Foundation Models
Yara Rizk, Praveen Venkateswaran, Vatche Isahagian +1
The inception of large language models has helped advance state-of-the-art performance on numerous natural language tasks. This has also opened the door for the development of foun…
FedGen: Generalizable Federated Learning for Sequential Data
Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy +1
Existing federated learning models that follow the standard risk minimization paradigm of machine learning often fail to generalize in the presence of spurious correlations in the…
Hybrid Serverless Computing: Opportunities and Challenges
Paul Castro, Vatche Isahagian, Vinod Muthusamy +1
In recent years, there has been a surge in the adoption of serverless computing due to the ease of deployment, attractive pay-per-use pricing, and transparent horizontal auto-scali…
A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language
Michael Desmond, Evelyn Duesterwald, Vatche Isahagian +1
Most business process automation is still developed using traditional automation technologies such as workflow engines. These systems provide domain specific languages that require…
Natural Language Sentence Generation from API Specifications
Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi +3
APIs are everywhere; they provide access to automation solutions that could help businesses automate some of their tasks. Unfortunately, they may not be accessible to the business…