A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Text summarization research has undergone several significant transformations with the
advent of deep neural networks, pre-trained language models (PLMs), and recent large …
advent of deep neural networks, pre-trained language models (PLMs), and recent large …
Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning
C Guan, A Chin, P Vahabi - arXiv preprint arXiv:2405.02710, 2024 - arxiv.org
With the deluge of information delivered by the daily news cycle, there is a growing need to
effectively and efficiently summarize news feeds for quick consumption. We leverage large …
effectively and efficiently summarize news feeds for quick consumption. We leverage large …
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers
Recommender systems are widely used to suggest engaging content, and Large Language
Models (LLMs) have given rise to generative recommenders. Such systems can directly …
Models (LLMs) have given rise to generative recommenders. Such systems can directly …
[HTML][HTML] Generative explore-exploit: Training-free optimization of generative recommender systems using LLM optimizers
Recommender systems are widely used to suggest engaging content, and Large Language
Models (LLMs) have given rise to generative recommenders. Such systems can directly …
Models (LLMs) have given rise to generative recommenders. Such systems can directly …
[HTML][HTML] Don't just translate, summarize too: Cross-lingual product title generation in e-commerce
Making product titles informative and concise is vital to delighting e-commerce customers.
Recent advances have successfully applied monolingual product title summarization to …
Recent advances have successfully applied monolingual product title summarization to …