33 citations · 78 across the 24 of their papers we have counts for
25 papers
Identifying, Explaining, and Correcting Ableist Language with AI
Kynnedy Simone Smith, Lydia B. Chilton, Danielle Bragg
Ableist language perpetuates harmful stereotypes and exclusion, yet its nuanced nature makes it difficult to recognize and address. Artificial intelligence could serve as a powerfu…
AI Humor Generation: Cognitive, Social and Creative Skills for Effective Humor
Sean Kim, Lydia B. Chilton
Humor is a social binding agent. It is an act of creativity that can provoke emotional reactions on a broad range of topics. Humor has long been thought to be "too human" for AI to…
Beyond Training: How Workers Discover Value in Enterprise AI
Riya Sahni, Lydia B. Chilton
While organizations continue to invest in enterprise AI, little is known about how individual employees find valuable use cases once these tools are deployed. We present an explora…
STORYSUMM: Evaluating Faithfulness in Story Summarization
Melanie Subbiah, Faisal Ladhak, Akankshya Mishra +3
Human evaluation has been the gold standard for checking faithfulness in abstractive summarization. However, with a challenging source domain like narrative, multiple annotators ca…
Scrolly2Reel: Retargeting Graphics for Social Media Using Narrative Beats
Duy K. Nguyen, Jenny Ma, Pedro Alejandro Perez +1
Content retargeting is crucial for social media creators. Once great content is created, it is important to reach as broad an audience as possible. This is particularly important i…
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…
Not Just Novelty: A Longitudinal Study on Utility and Customization of an AI Workflow
Tao Long, Katy Ilonka Gero, Lydia B. Chilton
Generative AI brings novel and impressive abilities to help people in everyday tasks. There are many AI workflows that solve real and complex problems by chaining AI outputs togeth…
PodReels: Human-AI Co-Creation of Video Podcast Teasers
Sitong Wang, Zheng Ning, Anh Truong +3
Video podcast teasers are short videos that can be shared on social media platforms to capture interest in the full episodes of a video podcast. These teasers enable long-form podc…
Eliciting Topic Hierarchies from Large Language Models
Grace Li, Tao Long, Lydia B. Chilton
Current research has explored how Generative AI can support the brainstorming process for content creators, but a gap remains in exploring support-tools for the pre-writing process…
Challenges and Opportunities for the Design of Smart Speakers
Tao Long, Lydia B. Chilton
Advances in voice technology and voice user interfaces (VUIs) -- such as Alexa, Siri, and Google Home -- have opened up the potential for many new types of interaction. However, de…
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…
Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media
Tao Long, Dorothy Zhang, Grace Li +6
Communicating science and technology is essential for the public to understand and engage in a rapidly changing world. Tweetorials are an emerging phenomenon where experts explain…
ReelFramer: Human-AI Co-Creation for News-to-Video Translation
Sitong Wang, Samia Menon, Tao Long +6
Short videos on social media are the dominant way young people consume content. News outlets aim to reach audiences through news reels -- short videos conveying news -- but struggl…
Generative Disco: Text-to-Video Generation for Music Visualization
Vivian Liu, Tao Long, Nathan Raw +1
Visuals can enhance our experience of music, owing to the way they can amplify the emotions and messages conveyed within it. However, creating music visualization is a complex, tim…
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…
How Much is Performance Worth to Users? A Quantitative Approach
Adam Hastings, Lydia B. Chilton, Simha Sethumadhavan
Architects and systems designers artfully balance multiple competing design constraints during the design process but are unable to translate between system metrics and end user ex…
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…
Eliciting Gestures for Novel Note-taking Interactions
Katy Ilonka Gero, Lydia B. Chilton, Chris Melancon +1
Handwriting recognition is improving in leaps and bounds, and this opens up new opportunities for stylus-based interactions. In particular, note-taking applications can become a mo…
PopBlends: Strategies for Conceptual Blending with Large Language Models
Sitong Wang, Savvas Petridis, Taeahn Kwon +2
Pop culture is an important aspect of communication. On social media people often post pop culture reference images that connect an event, product or other entity to a pop culture…
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…
Sparks: Inspiration for Science Writing using Language Models
Katy Ilonka Gero, Vivian Liu, Lydia B. Chilton
Large-scale language models are rapidly improving, performing well on a wide variety of tasks with little to no customization. In this work we investigate how language models can s…
Design Guidelines for Prompt Engineering Text-to-Image Generative Models
Vivian Liu, Lydia B. Chilton
Text-to-image generative models are a new and powerful way to generate visual artwork. However, the open-ended nature of text as interaction is double-edged; while users can input…
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…