115 citations · 252 across the 29 of their papers we have counts for
34 papers
Memory as Middleware for Self-Improving AI Agents
K. R. Jayaram, Vatche Isahagian, Vinod Muthusamy +4
AI agents are stateless across sessions by default and therefore operationally amnesic: each session begins with little durable knowledge of prior failures, repairs, preferences, o…
Trajectory-Informed Memory Generation for Self-Improving Agent Systems
Gaodan Fang, Vatche Isahagian, K. R. Jayaram +4
LLM-powered agents face a persistent challenge: learning from their execution experiences to improve future performance. While agents can successfully complete many tasks, they oft…
VOILA: Value-of-Information Guided Fidelity Selection for Cost-Aware Multimodal Question Answering
Rahul Atul Bhope, K. R. Jayaram, Vinod Muthusamy +3
Despite significant costs from retrieving and processing high-fidelity visual inputs, most multimodal vision-language systems operate at fixed fidelity levels. We introduce VOILA,…
On Automating Security Policies with Contemporary LLMs
Pablo Fernández Saura, K. R. Jayaram, Vatche Isahagian +2
The complexity of modern computing environments and the growing sophistication of cyber threats necessitate a more robust, adaptive, and automated approach to security enforcement.…
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows
Evelyn Duesterwald, Siyu Huo, Vatche Isahagian +7
Business process automation (BPA) that leverages Large Language Models (LLMs) to convert natural language (NL) instructions into structured business process artifacts is becoming a…
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
Rahul Atul Bhope, Praveen Venkateswaran, K. R. Jayaram +3
Developers using LLMs and LLM-based agents in their applications have provided plenty of anecdotal evidence that in-context-learning (ICL) is fragile. In this paper, we show that i…
TaskDiff: A Similarity Metric for Task-Oriented Conversations
Ankita Bhaumik, Praveen Venkateswaran, Yara Rizk +1
The popularity of conversational digital assistants has resulted in the availability of large amounts of conversational data which can be utilized for improved user experience and…
ProtoNER: Few shot Incremental Learning for Named Entity Recognition using Prototypical Networks
Ritesh Kumar, Saurabh Goyal, Ashish Verma +1
Key value pair (KVP) extraction or Named Entity Recognition(NER) from visually rich documents has been an active area of research in document understanding and data extraction doma…
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…
Extending LIME for Business Process Automation
Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy +1
AI business process applications automate high-stakes business decisions where there is an increasing demand to justify or explain the rationale behind algorithmic decisions. Busin…
LIBRA: An Economical Hybrid Approach for Cloud Applications with Strict SLAs
Ali Raza, Zongshun Zhang, Nabeel Akhtar +2
Function-as-a-Service (FaaS) has recently emerged to reduce the deployment cost of running cloud applications compared to Infrastructure-as-a-Service (IaaS). FaaS follows a serverl…
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
Tathagata Chakraborti, Vatche Isahagian, Rania Khalaf +4
In this survey, we study how recent advances in machine intelligence are disrupting the world of business processes. Over the last decade, there has been steady progress towards th…
A Conversational Digital Assistant for Intelligent Process Automation
Yara Rizk, Vatche Isahagian, Scott Boag +4
Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes. Moving away from back-end automation, RPA automated the mouse-click on…
A Snooze-less User-Aware Notification System for Proactive Conversational Agents
Yara Rizk, Vatche Isahagian, Merve Unuvar +1
The ubiquity of smart phones and electronic devices has placed a wealth of information at the fingertips of consumers as well as creators of digital content. This has led to millio…
AI Trust in business processes: The need for process-aware explanations
Steve T. K. Jan, Vatche Ishakian, Vinod Muthusamy
Business processes underpin a large number of enterprise operations including processing loan applications, managing invoices, and insurance claims. There is a large opportunity fo…
A Unified Conversational Assistant Framework for Business Process Automation
Yara Rizk, Abhishek Bhandwalder, Scott Boag +5
Business process automation is a booming multi-billion-dollar industry that promises to remove menial tasks from workers' plates -- through the introduction of autonomous agents --…
MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud
Vatche Ishakian, Azer Bestavros, Assaf Kfoury
In hosting environments such as IaaS clouds, desirable application performance is usually guaranteed through the use of Service Level Agreements (SLAs), which specify minimal fract…
FfDL : A Flexible Multi-tenant Deep Learning Platform
K. R. Jayaram, Vinod Muthusamy, Parijat Dube +9
Deep learning (DL) is becoming increasingly popular in several application domains and has made several new application features involving computer vision, speech recognition and s…
Towards Enterprise-Ready AI Deployments Minimizing the Risk of Consuming AI Models in Business Applications
Aleksander Slominski, Vinod Muthusamy, Vatche Ishakian
The stochastic nature of artificial intelligence (AI) models introduces risk to business applications that use AI models without careful consideration. This paper offers an approac…