1 code implementation • 1 Apr 2024 • Hongli Zhan, Allen Zheng, Yoon Kyung Lee, Jina Suh, Junyi Jessy Li, Desmond C. Ong
Large language models (LLMs) have offered new opportunities for emotional support, and recent work has shown that they can produce empathic responses to people in distress.
1 code implementation • 26 Mar 2024 • Yoon Kyung Lee, Jina Suh, Hongli Zhan, Junyi Jessy Li, Desmond C. Ong
Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy.
no code implementations • 19 Feb 2024 • Inna Wanyin Lin, ASHISH SHARMA, Christopher Michael Rytting, Adam S. Miner, Jina Suh, Tim Althoff
With IMBUE's additional just-in-time feedback, participants demonstrate 17% improvement in skill mastery, along with greater enhancements in self-efficacy (27% more) and reduction of negative emotions (16% more) compared to simulation-only.
no code implementations • 17 Jan 2024 • Subigya Nepal, Javier Hernandez, Talie Massachi, Kael Rowan, Judith Amores, Jina Suh, Gonzalo Ramos, Brian Houck, Shamsi T. Iqbal, Mary Czerwinski
We present a comprehensive, user-centric approach to understand preferences in AI-based productivity agents and develop personalized solutions tailored to users' needs.
no code implementations • 20 Nov 2023 • Alexandra Olteanu, Michael Ekstrand, Carlos Castillo, Jina Suh
All types of research, development, and policy work can have unintended, adverse consequences - work in responsible artificial intelligence (RAI), ethical AI, or ethics in AI is no exception.
no code implementations • 19 Oct 2023 • Javier Hernandez, Jina Suh, Judith Amores, Kael Rowan, Gonzalo Ramos, Mary Czerwinski
The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains.
no code implementations • 13 Mar 2023 • Shreya Chowdhary, Anna Kawakami, Mary L. Gray, Jina Suh, Alexandra Olteanu, Koustuv Saha
Our mapping of what prevents workers from meaningfully consenting to workplace wellbeing technologies (challenges) and what they require to do so (interventions) illustrates how the lack of meaningful consent is a structural problem requiring socio-technical solutions.
no code implementations • 17 Aug 2020 • Jina Suh, Eric Horvitz, Ryen W. White, Tim Althoff
Most work to date on mitigating the COVID-19 pandemic is focused urgently on biomedicine and epidemiology.
no code implementations • 21 Jul 2017 • Patrice Y. Simard, Saleema Amershi, David M. Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher Meek, Gonzalo Ramos, Jina Suh, Johan Verwey, Mo Wang, John Wernsing
This significantly limits the number of machine learning systems that can be created and has led to a mismatch between the demand for machine learning systems and the ability for organizations to build them.
no code implementations • 24 Jun 2016 • Camille Jandot, Patrice Simard, Max Chickering, David Grangier, Jina Suh
In text classification, dictionaries can be used to define human-comprehensible features.
no code implementations • 16 Sep 2014 • Patrice Simard, David Chickering, Aparna Lakshmiratan, Denis Charles, Leon Bottou, Carlos Garcia Jurado Suarez, David Grangier, Saleema Amershi, Johan Verwey, Jina Suh
Based on the machine's output, the teacher can revise the definition of the task or make it more precise.