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Found 8 papers, 3 papers with code
Automatically Discarding Straplines to Improve Data Quality for Abstractive News Summarization
Automatic evaluation indicates that removing straplines and noise from the training data of a news summarizer results in higher quality summaries, with improvements as high as 7 points ROUGE score.
TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness
Large Language Models (LLMs) have demonstrated impressive capabilities across various domains, prompting a surge in their practical applications.
Visual Storytelling with Question-Answer Plans
Our model translates the image sequence into a visual prefix, a sequence of continuous embeddings which language models can interpret.
Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation
(2) spatiotemporal collaborative signal, which indicates similar users have similar preferences at specific locations and times.
Detecting and Grounding Important Characters in Visual Stories
Characters are essential to the plot of any story.
MIND: A Large-scale Dataset for News Recommendation
News recommendation is an important technique for personalized news service.
KRED: Knowledge-Aware Document Representation for News Recommendations
News articles usually contain knowledge entities such as celebrities or organizations.
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
The success of recommender systems in modern online platforms is inseparable from the accurate capture of users' personal tastes.
