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Markus Dreyer

Mengwen Liu

RefineSumm: Self-Refining MLLM for Generating a Multimodal Summarization Dataset
Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization
Faithfulness-Aware Decoding Strategies for Abstractive Summarization
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints
Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters
Transductive Learning for Abstractive News Summarization
Multi-Task Networks with Universe, Group, and Task Feature Learning

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