Search Results for author:
Found 3 papers, 1 papers with code
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Using this web app we build Pick-a-Pic, a large, open dataset of text-to-image prompts and real users' preferences over generated images.
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning
However, simply fine-tuning a generative language model with a contrastive reward model does not always reliably result in a story generation system capable of generating stories that meet user preferences.
Cut the CARP: Fishing for zero-shot story evaluation
Recent advances in large-scale language models (Raffel et al., 2019; Brown et al., 2020) have brought significant qualitative and quantitative improvements in machine-driven text generation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
