Papers by Noam Dahan

3 papers
PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation (2025.emnlp-demos)

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Challenge: Recent studies have demonstrated that LLMs are highly sensitive to small, meaning-preserving variations in task formulation.
Approach: They propose a framework that enables the automatic generation of various prompts.
Outcome: The proposed framework provides meaningful variations to support strong evaluation practices.
Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource Languages (2026.findings-eacl)

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Challenge: Recent studies suggest that summarization in English may be solved, or even "dead" However, there are no accessible, high-quality summarizing datasets in under-represented languages.
Approach: They propose a method for collecting naturally occurring summaries via front-page teasers, where editors summarize full length articles.
Outcome: The proposed method is suited to varying linguistic resources and is available in seven languages.
The State and Fate of Summarization Datasets: A Survey (2025.naacl-long)

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Challenge: Summarization is the task of shortening a text while preserving the most important information it contains.
Approach: They propose a novel ontology covering sample properties, collection methods and distribution covering sample characteristics, collection method and distribution.
Outcome: The proposed ontology covers sample properties, collection methods and distribution, and can be used to streamline future research into a more coherent body of work.

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