Change My Frame: Reframing in the Wild in r/ChangeMyView
원문 초록
Recent work in reframing, within the scope of text style transfer, has so far made use of out-of-context, task-prompted utterances in order to produce neutralizing or optimistic reframes. Our work aims to generalize reframing based on the subreddit r/ChangeMyView (CMV). We build a dataset that leverages CMV's community's interactions and conventions to identify high-value, community-recognized utterances that produce changes of perspective. With this data, we widen the scope of the direction of reframing since the changes in perspective do not only occur in neutral or positive directions. We fine tune transformer-based models, make use of a modern LLM to refine our dataset, and explore challenges in the dataset creation and evaluation around this type of reframing.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Multilingual and Explainable Text Detoxification with Parallel Corpora
Style-Specific Neurons for Steering LLMs in Text Style Transfer
WAS: Dataset and Methods for Artistic Text Segmentation
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
Style Transfer with Multi-iteration Preference Optimization
토론
이 논문과 연결된 포럼 글이 아직 없습니다.