Papers with robust evaluation method

3 papers
Rethinking Sentiment Style Transfer (2021.findings-emnlp)

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Challenge: Existing evaluation methods for text style transfer are unsatisfactory.
Approach: They propose to use a graph-based method to extract attribute content from sentences . they propose an efficient regularization to leverage attribute-dependent content as guiding signals.
Outcome: The proposed method is based on a YELP and IMDB dataset and it is able to detect errors in the human evaluation.
CharacterCraft: Bridging the Literature-Reality Dialogue Gap for Practical Role-Playing Agents (2025.findings-emnlp)

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Challenge: Existing dialogue datasets have a bias between query distributions and real-world user language usage.
Approach: They propose a framework for Chinese role-playing and a robust evaluation method . they propose specialized Chinese dialogue extraction model and specialized memory retrieval module .
Outcome: The proposed framework extracts character dialogue from novels and ensures high data quality.
Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents (2025.emnlp-main)

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Challenge: Existing approaches to RPAs focus on static role profiles, overlooking dynamic perceptual abilities inherent to humans.
Approach: They propose a framework that combines adaptive temporal sampling with dynamic and static role profiles.
Outcome: The proposed framework combines adaptive temporal sampling with dynamic and static role profiles.

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