3 citations · 8 across the 8 of their papers we have counts for
6 papers · 1 filter
Reading Subtext: Evaluating Large Language Models on Short Story Summarization with Writers
Melanie Subbiah, Sean Zhang, Lydia B. Chilton +1
We evaluate recent Large Language Models (LLMs) on the challenging task of summarizing short stories, which can be lengthy, and include nuanced subtext or scrambled timelines. Impo…
STORYWARS: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation
Yulun Du, Lydia Chilton
Collaborative stories, which are texts created through the collaborative efforts of multiple authors with different writing styles and intentions, pose unique challenges for NLP mo…
SafeText: A Benchmark for Exploring Physical Safety in Language Models
Sharon Levy, Emily Allaway, Melanie Subbiah +4
Understanding what constitutes safe text is an important issue in natural language processing and can often prevent the deployment of models deemed harmful and unsafe. One such typ…
Lightweight Decoding Strategies for Increasing Specificity
Katy Ilonka Gero, Chris Kedzie, Savvas Petridis +1
Language models are known to produce vague and generic outputs. We propose two unsupervised decoding strategies based on either word-frequency or point-wise mutual information to i…
Hierarchical Summarization for Longform Spoken Dialog
Daniel Li, Thomas Chen, Albert Tung +1
Every day we are surrounded by spoken dialog. This medium delivers rich diverse streams of information auditorily; however, systematically understanding dialog can often be non-tri…
Low-Level Linguistic Controls for Style Transfer and Content Preservation
Katy Gero, Chris Kedzie, Jonathan Reeve +1
Despite the success of style transfer in image processing, it has seen limited progress in natural language generation. Part of the problem is that content is not as easily decoupl…