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Vishwas Suryanarayanan

4 accepted papers

2026

FormAct: Agentic Source Editing for Rich-Format Document Generation

ICML 2026poster

Rich-format documents are essential for everyday operations yet costly to author, motivating the need for automated generation to enhance productivity. To this end, we present FormAct, an agentic system that generates professional rich-format documents from scratch. FormAct operates on an HTML sourc…

Cited by 0SourceScholar
2026

PPT-Eval: A Benchmark for Computer-Use Agents on PowerPoint Tasks

ICML 2026poster

Creating and editing slides is a rich, multimodal activity that is ubiquitous in professional and educational settings, making it an ideal testbed for real-world computer-use agents. Microsoft PowerPoint is among the most widely adopted and feature-rich environments for presentation creation. We int…

Cited by 0SourceScholar
2025

Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment

ICLR 2025poster

While diffusion models are powerful in generating high-quality, diverse synthetic data for object-centric tasks, existing methods struggle with scene-aware tasks such as Visual Question Answering (VQA) and Human-Object Interaction (HOI) Reasoning, where it is critical to preserve scene attributes in…

2020

ScopeIt: Scoping Task Relevant Sentences in Documents

COLING 2020industry

A prominent problem faced by conversational agents working with large documents (Eg: email-based assistants) is the frequent presence of information in the document that is irrelevant to the assistant. This in turn makes it harder for the agent to accurately detect intents, extract entities relevant…