Papers by Jake W. Vincent

2 papers
MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization (2025.findings-emnlp)

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Challenge: Multimodal Dialogue Summarization (MDS) is a critical task with wide-ranging applications.
Approach: They propose a meta-evaluation benchmark for multimodal dialogue summarization based on image-sharing dialogues, corresponding summaries and human judgments .
Outcome: The proposed framework is the first to identify and formalize key evaluation dimensions specific to MDS.
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation (2025.naacl-long)

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Challenge: Existing approaches to evaluate faithfulness of summaries are often fooled by the fluency of the text and struggle with identifying errors.
Approach: They propose an approach to summary faithfulness evaluation where multiple LLM-based agents are assigned initial stances and forced to come up with a reason to justify belief.
Outcome: The proposed approach can identify ambiguities and have even stronger performance on non-ambiguous summaries.

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