Anna Hätty — accepted AI-conference papers

2025

PAP2PAT: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs

Valentin Knappich, Anna Hätty, Simon Razniewski, Annemarie Friedrich

ACL 2025finding

Dealing with long and highly complex technical text is a challenge for Large Language Models (LLMs), which still have to unfold their potential in supporting expensive and time intensive processes like patent drafting. Within patents, the description constitutes more than 90% of the document on aver…

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2024

A Cost-Efficient Modular Sieve for Extracting Product Information from Company Websites

Anna Hätty, Dragan Milchevski, Kersten Döring, Marko Putnikovic, Mohsen Mesgar, Filip Novović +3

EMNLP 2024industry

Extracting product information is crucial for informed business decisions and strategic planning across multiple industries. However, recent methods relying only on large language models (LLMs) are resource-intensive and computationally prohibitive due to website structure differences and numerous n…

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