Papers by Min-Yuh Day

1 papers
ML-Promise: A Multilingual Dataset for Corporate Promise Verification (2025.emnlp-main)

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Challenge: Promises shape perceptions and drive decisions, but verification of their fulfillment is difficult due to complexity and volume of commitments . authors propose a new approach to verifying promises in environmental, social, and governance reports . complexity of promises, complexity of evidence, difficulty in verifying their fulfillment a pressing need for new approaches .
Approach: They propose a multilingual dataset that includes English, French, Chinese, Japanese, and Korean . they propose ML-Promise to facilitate in-depth verification of corporate promises .
Outcome: The proposed approach includes promise identification, evidence assessment, and evaluation of timing for verification in multiple languages.

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