5 papers
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…
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…
Dissecting Adversarial Robustness of Multimodal LM Agents
Chen Henry Wu, Rishi Shah, Jing Yu Koh +3
As language models (LMs) are used to build autonomous agents in real environments, ensuring their adversarial robustness becomes a critical challenge. Unlike chatbots, agents are c…
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…
Multimodal Graph Learning for Generative Tasks
Minji Yoon, Jing Yu Koh, Bryan Hooi +1
Multimodal learning combines multiple data modalities, broadening the types and complexity of data our models can utilize: for example, from plain text to image-caption pairs. Most…