Papers with Generating free-text rationales

2 papers
REV: Information-Theoretic Evaluation of Free-Text Rationales (2023.acl-long)

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Challenge: Existing metrics for rationale evaluation focus on the association between the rationale and a label, whereas REV is more sensitive to new information in free-text rationales.
Approach: They propose a metric called REV to quantify the amount of new, label-relevant information in a rationale beyond the information already available in the input or the label.
Outcome: The proposed metric is consistent with human judgments on rationale evaluations and provides more sensitive measurements of new information in free-text rationales.
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking (2024.findings-emnlp)

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Challenge: Existing research on generating free-text rationales has focused on tasks where there is an expected factual ground truth.
Approach: They analyze generated free-text rationales in tasks with subjective answers . they find open-source LLMs generate highly persuasive rationale models .
Outcome: The proposed model outperforms closed-source models in pairwise argument ranking, a highly subjective task with potential for debate assistance.

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