Papers by Antonie Jetter

2 papers
Analyzing the Dialect Diversity in Multi-document Summaries (2022.coling-1)

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Challenge: Social media posts provide compelling, yet challenging source of data of diverse perspectives . automatic text summarization algorithms preserve salient information from the source text .
Approach: They propose to compress large collections of documents into short summaries that preserve salient information from the source text.
Outcome: The proposed dataset shows that humans annotate fairly well-balanced dialect diverse summaries without loss of diversity.
When Context Leads but Parametric Memory Follows in Large Language Models (2024.emnlp-main)

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Challenge: Large language models (LLMs) have demonstrated remarkable progress in leveraging diverse knowledge sources.
Approach: They propose to analyze how large language models prioritize and utilize local context and parametric knowledge when answering open-ended questions in knowledge-consistent scenarios.
Outcome: The proposed model prioritizes parametric and contextual knowledge over parametric knowledge in knowledge-consistent scenarios and their tendency to hallucinate under varying context sizes.

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