47 citations · 60 across the 8 of their papers we have counts for
8 papers
Algorithmic Collective Action with Two Collectives
Aditya Karan, Nicholas Vincent, Karrie Karahalios +1
Given that data-dependent algorithmic systems have become impactful in more domains of life, the need for individuals to promote their own interests and hold algorithms accountable…
Organize, Then Vote: Exploring Cognitive Load in Quadratic Survey Interfaces
Ti-Chung Cheng, Yutong Zhang, Yi-Hung Chou +4
Quadratic Surveys (QSs) elicit more accurate preferences than traditional methods like Likert-scale surveys. However, the cognitive load associated with QSs has hindered their adop…
Venire: A Machine Learning-Guided Panel Review System for Community Content Moderation
Vinay Koshy, Frederick Choi, Yi-Shyuan Chiang +3
Research into community content moderation often assumes that moderation teams govern with a single, unified voice. However, recent work has found that moderators disagree with one…
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation
Nishant Balepur, Jie Huang, Samraj Moorjani +2
When answering complex questions, large language models (LLMs) may produce answers that do not satisfy all criteria of the question. While existing self-evaluation techniques aim t…
Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control
Yunzhe Li, Qian Chen, Weixiang Yan +3
Existing works on outline-conditioned text generation typically aim to generate text using provided outlines as rough sketches, such as keywords and phrases. However, these approac…
Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
Ziang Xiao, Tiffany Wenting Li, Karrie Karahalios +1
Informed consent is a core cornerstone of ethics in human subject research. Through the informed consent process, participants learn about the study procedure, benefits, risks, and…
Audience-Centric Natural Language Generation via Style Infusion
Samraj Moorjani, Adit Krishnan, Hari Sundaram +2
Adopting contextually appropriate, audience-tailored linguistic styles is critical to the success of user-centric language generation systems (e.g., chatbots, computer-aided writin…
What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys
Yubin Ge, Ziang Xiao, Jana Diesner +3
Generating follow-up questions on the fly could significantly improve conversational survey quality and user experiences by enabling a more dynamic and personalized survey structur…