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20232026
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5 papers · 1 filter

cs.LG2026

MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents

Lawrence Keunho Jang, Andrew Keunwoo Jang, Jing Yu Koh +1

Current benchmarks for computer-use agents evaluate models in impersonal environments. This leaves a gap between evaluation and deployment where personal assistants are expected to…

cs.LG2026

iOSWorld: A Benchmark for Personally Intelligent Phone Agents

Lawrence Keunho Jang, Mareks Woodside, Geronimo Carom +3

A useful phone agent needs to be personally intelligent. It should reason over a user's identity, history, and preferences as they exist on the device, not just follow isolated ins…

cs.LG2026

Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks

Lawrence Keunho Jang, Jing Yu Koh, Daniel Fried +1

Existing web agent benchmarks have largely converged on short, single-site tasks that frontier models are approaching saturation on. However, real world web use consists of long-ho…

cs.LG2024

The BrowserGym Ecosystem for Web Agent Research

Thibault Le Sellier De Chezelles, Maxime Gasse, Alexandre Drouin +17

The BrowserGym ecosystem addresses the growing need for efficient evaluation and benchmarking of web agents, particularly those leveraging automation and Large Language Models (LLM…

cs.LG2024

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Jing Yu Koh, Robert Lo, Lawrence Jang +7

Autonomous agents capable of planning, reasoning, and executing actions on the web offer a promising avenue for automating computer tasks. However, the majority of existing benchma…