activity
20232026
most citedAgent-E: From Autonomous Web Navigation to Foundational Design Principles in Agentic Systems

2 citations · 5 across the 7 of their papers we have counts for

collaborators

9 papers

cs.SE2026

Eliciting Specifications: When Does Interactive Clarification Help?

Mowafak Allaham, Aditya Vempaty, Ashish Jagmohan +2

LLMs can generate Lean specifications from task descriptions, but those descriptions are often underspecified or ambiguous and may omit verifier-relevant edge cases, yielding imper…

cs.MA2026

Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems

Deepak Akkil, Tamer Abuelsaad, Karthik Vikram +5

As AI agents move from bounded tasks to persistent deployments, failures can propagate through memory, tools, other agents, and environmental state long after their interactions. T…

cs.MA2026

Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy

Deepak Akkil, Ravi Kokku, Karthik Vikram +3

Most evaluations of LLM agents look like exams: a discrete task, a clean environment, a score in minutes or hours. We argue that this approach is mismatched with the deployment con…

cs.CL2025

Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents

Ankan Mullick, Sombit Bose, Rounak Saha +6

In this paper, we introduce Spotlight, a novel paradigm for information extraction that produces concise, engaging narratives by highlighting the most compelling aspects of a docum…

cs.CL2024★ 1 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.AI2024★ 2 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.CL2024

On The Persona-based Summarization of Domain-Specific Documents

Ankan Mullick, Sombit Bose, Rounak Saha +5

In an ever-expanding world of domain-specific knowledge, the increasing complexity of consuming, and storing information necessitates the generation of summaries from large informa…

cs.CL2024

Long Dialog Summarization: An Analysis

Ankan Mullick, Ayan Kumar Bhowmick, Raghav R +4

Dialog summarization has become increasingly important in managing and comprehending large-scale conversations across various domains. This task presents unique challenges in captu…

cs.CL2023★ 2 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…