papers

Publications (16)

cs.HC2022

Opal: Multimodal Image Generation for News Illustration

Vivian Liu, Han Qiao, Lydia Chilton

Advances in multimodal AI have presented people with powerful ways to create images from text. Recent work has shown that text-to-image generations are able to represent a broad ra…

cs.HC2010

The Labor Economics of Paid Crowdsourcing

John Horton, Lydia Chilton

Crowdsourcing is a form of "peer production" in which work traditionally performed by an employee is outsourced to an "undefined, generally large group of people in the form of an…

cs.CL2022

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…

cs.HC2024

Simulating Human Strategic Behavior: Comparing Single and Multi-agent LLMs

Karthik Sreedhar, Lydia Chilton

When creating policies, plans, or designs for people, it is challenging for designers to foresee all of the ways in which people may reason and behave. Recently, Large Language Mod…

cs.CL2023

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…

cs.CL2021

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…