2 citations · 4 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…
Multimodal Auto Validation For Self-Refinement in Web Agents
Ruhana Azam, Tamer Abuelsaad, Aditya Vempaty +1
As our world digitizes, web agents that can automate complex and monotonous tasks are becoming essential in streamlining workflows. This paper introduces an approach to improving w…
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…
Design and Evaluation of a Tutor Platform for Personalized Vocabulary Learning
Ravi Kokku, Aditya Vempaty, Tamer Abuelsaad +4
This paper presents our experiences in designing, implementing, and piloting an intelligent vocabulary learning tutor. The design builds on several intelligent tutoring design conc…