Large language models (LLMs) fine-tuned with reinforcement learning from human
feedback (RLHF) have been used in some of the most widely deployed AI models to date …

Annotation tools are an essential component in the creation of datasets for machine learning
purposes. Annotation tools have evolved greatly since the turn of the century, and now …

Aligning language models (LMs) with preferences is an important problem in natural
language generation. A key challenge is that preferences are typically provided at the …

Aligning text-to-image diffusion model (T2I) with preference has been gaining increasing
research attention. While prior works exist on directly optimizing T2I by preference data …

Story plots, while short, carry most of the essential information of a full story that may contain
tens of thousands of words. We study the problem of automatic generation of story plots …

Automated long-form story generation typically employs long-context large language models
(LLMs) for one-shot creation, which can produce cohesive but not necessarily engaging …

Automated long-form story generation typically employs long-context large language models
(LLMs) for one-shot creation, which can produce cohesive but not necessarily engaging …

Reinforcement learning from human feedback (RLHF) has proven effective in aligning large
language models (LLMs) with human preferences, but often at the cost of reduced output …

A critical component of the current generation of language models is preference alignment,
which aims to precisely control the model's behavior to meet human needs and values. The …

This study focuses on an approach to generate suggested video stories from raw source
footage by using a multilayered hierarchical classification structure and narrative generation …