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Srinivas Sunkara

7 accepted papers

2026

Ego2Web: A Web Agent Benchmark Grounded in Egocentric Videos

CVPR 2026

Multimodal AI agents are increasingly automating complex real-world workflows that involve online web execution. However, current web-agent benchmarks suffer from a critical limitation: they focus entirely on web-based interaction and perception, lacking grounding in the user's real-world physical s

Cited by 0SourcecodeScholar
2026

EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings

ICML 2026poster

The rapid evolution of Large Language Models (LLMs) has shifted their role from passive information providers to active agents capable of executing complex workflows. However, the realization of a true "AI worker" is currently hindered by benchmarks that fail to capture the intricacy of professional…

Cited by 0SourceScholar
2025

ScreenQA: Large-Scale Question-Answer Pairs Over Mobile App Screenshots

NAACL 2025long

We introduce ScreenQA, a novel benchmarking dataset designed to advance screen content understanding through question answering. The existing screen datasets are focused either on low-level structural and component understanding, or on a much higher-level composite task such as navigation and task c…

2024

ScreenAI: A Vision-Language Model for UI and Infographics Understanding

IJCAI 2024poster

Screen user interfaces (UIs) and infographics, sharing similar visual language and design principles, play important roles in human communication and human-machine interaction. We introduce ScreenAI, a vision-language model that specializes in UI and infographics understanding. Our model improves…

2022

Towards Better Semantic Understanding of Mobile Interfaces

COLING 2022main

Improving the accessibility and automation capabilities of mobile devices can have a significant positive impact on the daily lives of countless users. To stimulate research in this direction, we release a human-annotated dataset with approximately 500k unique annotations aimed at increasing the und…

2021

ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces

AAAI 2021technical

As mobile devices are becoming ubiquitous, regularly interacting with a variety of user interfaces (UIs) is a common aspect of daily life for many people. To improve the accessibility of these devices and to enable their usage in a variety of settings, building models that can assist users and accom…

Cited by 82SourcePDFScholar
2021

UIBert: Learning Generic Multimodal Representations for UI Understanding

IJCAI 2021poster

To improve the accessibility of smart devices and to simplify their usage, building models which understand user interfaces (UIs) and assist users to complete their tasks is critical. However, unique challenges are proposed by UI-specific characteristics, such as how to effectively leverage multimod…