5 papers · 1 filter
Learning API Functionality from In-Context Demonstrations for Tool-based Agents
Bhrij Patel, Ashish Jagmohan, Aditya Vempaty
Digital tool-based agents, powered by Large Language Models (LLMs), that invoke external Application Programming Interfaces (APIs) often rely on documentation to understand API fun…
Reflection-Based Memory For Web navigation Agents
Ruhana Azam, Aditya Vempaty, Ashish Jagmohan
Web navigation agents have made significant progress, yet current systems operate with no memory of past experiences -- leading to repeated mistakes and an inability to learn from…
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…
SEAL: Suite for Evaluating API-use of LLMs
Woojeong Kim, Ashish Jagmohan, Aditya Vempaty
Large language models (LLMs) have limitations in handling tasks that require real-time access to external APIs. While several benchmarks like ToolBench and APIGen have been develop…
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…