Search Results for author:
Found 7 papers, 4 papers with code
Character-Preserving Coherent Story Visualization
Different from video generation that focuses on maintaining the continuity of generated images (frames), story visualization emphasizes preserving the global consistency of characters and scenes across different story pictures, which is very challenging since story sentences only provide sparse signals for generating images.
Ranked #2 on
Story Visualization
on Pororo
(using extra training data)
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks
To this end, we raise a question: ``How can we enable in-context learning without relying on the intrinsic in-context ability of large language models?".
Shilling Black-box Review-based Recommender Systems through Fake Review Generation
Review-Based Recommender Systems (RBRS) have attracted increasing research interest due to their ability to alleviate well-known cold-start problems.
SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization
The generated summaries could therefore be constrained by the preference bias in the training set, especially under low-resource settings.
Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness
A notable challenge in Multi-Document Summarization (MDS) is the extremely-long length of the input.
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
To generate inspired headlines, we propose a novel framework called POpularity-Reinforced Learning for inspired Headline Generation (PORL-HG).
