2 citations · 3 across the 5 of their papers we have counts for
6 papers
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…
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…
Emergence WebVoyager: Toward Consistent and Transparent Evaluation of (Web) Agents in The Wild
Deepak Akkil, Mowafak Allaham, Amal Raj +2
Reliable evaluation of AI agents operating in complex, real-world environments requires methodologies that are robust, transparent, and contextually aligned with the tasks agents a…
AEGIS: An Agent for Extraction and Geographic Identification in Scholarly Proceedings
Om Vishesh, Harshad Khadilkar, Deepak Akkil
Keeping pace with the rapid growth of academia literature presents a significant challenge for researchers, funding bodies, and academic societies. To address the time-consuming ma…
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…
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…