most citedOn Quantizer Design for Distributed Bayesian Estimation in Sensor Networks

49 citations · 51 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL20241 cited

Leveraging the Power of LLMs: A Fine-Tuning Approach for High-Quality Aspect-Based Summarization

Ankan Mullick, Sombit Bose, Rounak Saha +6

The ever-increasing volume of digital information necessitates efficient methods for users to extract key insights from lengthy documents. Aspect-based summarization offers a targe…

cs.CY20242 cited

Building a Domain-specific Guardrail Model in Production

Mohammad Niknazar, Paul V Haley, Latha Ramanan +12

Generative AI holds the promise of enabling a range of sought-after capabilities and revolutionizing workflows in various consumer and enterprise verticals. However, putting a mode…

cs.SE20241 cited

MathViz-E: A Case-study in Domain-Specialized Tool-Using Agents

Arya Bulusu, Brandon Man, Ashish Jagmohan +3

There has been significant recent interest in harnessing LLMs to control software systems through multi-step reasoning, planning and tool-usage. While some promising results have b…

cs.AI20242 cited

Agent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems

Tamer Abuelsaad, Deepak Akkil, Prasenjit Dey +3

AI Agents are changing the way work gets done, both in consumer and enterprise domains. However, the design patterns and architectures to build highly capable agents or multi-agent…

cs.CL20232 cited

Automating question generation from educational text

Ayan Kumar Bhowmick, Ashish Jagmohan, Aditya Vempaty +5

The use of question-based activities (QBAs) is wide-spread in education, traditionally forming an integral part of the learning and assessment process. In this paper, we design and…

cs.IT2014

The Non-Regular CEO Problem

Aditya Vempaty, Lav R. Varshney

We consider the CEO problem for non-regular source distributions (such as uniform or truncated Gaussian). A group of agents observe independently corrupted versions of data and tra…