6 accepted papers
Persuasive dialogue aims to alter people's attitudes or behaviors through conversation. While LLMs can generate emotional responses, they tend to use a uniform approach across varied scenarios, limiting their persuasive effectiveness. Diverse demands need varied persuasion strategies, which challeng
Cross-domain fake news detection, aiming to detect fake news in unseen domains, has achieved promising results with the help of pre-trained language models. Existing approaches mainly relied on extracting domain-independent representations or modeling domain discrepancies to achieve domain adaptatio…
As more than 70% of reviews in the existing opinion summary data set are positive, current opinion summarization approaches are hesitant to generate negative summaries given the input of negative texts. To address such sentiment bias, a direct approach without the reliance on a specific structure is…
Personalized opinion summarization is crucial as it considers individual user interests while generating product summaries.Recent studies show that although large language models demonstrate powerful text summarization and evaluation capabilities without the need for training data, they face difficu…
As in the existing opinion summary data set, more than 70% are positive texts, the current opinion summarization approaches are reluctant to generate the negative opinion summary given the input of negative opinions. To address such sentiment bias, two approaches are proposed through two perspective…
Approaches for unsupervised opinion summarization are generally based on the reconstruction model and generate a summary by decoding the aggregated representation of inputs. Recent work has shown that aggregating via simple average leads to vector degeneration, generating the generic summary. To tac…