Rafal Kocielnik
@RKocielnikPostdoc @caltech | CRA Computing Innovation Fellow @CRAtweets | PhD UW HCDE @UW @hcdeUW | HCI, Health & Surgical AI, Social Bias in Gen AI, LLMs, CUI
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Election misinformation is rampant. Want to learn what the science says about dealing with election misinformation? Check out our guidelines for Dealing with Election Misinformation. #PreventElectionMisinformation youtu.be/oa4DL-q1_YU
We are excited to share our latest work on debiasing large language models, accepted to COLM 2024 We introduce a lightweight, simple pipeline using ChatGPT to generate synthetic data for debiasing open-source LLMs through parameter-efficient fine-tuning. Our method outperforms…
Thank you @GavinNewsom for vetoing SB 1047. We wrote a letter with many @Caltech signatories laying down clear reasons for why this bill is flawed. We should be focused on regulating downstream applications rather than AI training. There are already many existing laws doing so…
@RKocielnik and I are about to present some of our research with @Activision! At @Stanford Trust and Safety Conference.
A number of my colleagues @Caltech and I have put together a letter voicing our concern regarding CA SB 1047 (AI Safety Act). Sign the letter and show your support! docs.google.com/forms/d/e/1FAI… We call on @caltech students, postdocs, faculty, staff, and alumni to sign but also leave…
Excited to speak at the USC ISI seminar tomorrow on "Human-AI Interaction: From Supporting Surgical Training to Inspecting Social Bias in LLMs." Thank you for the invitation! isi.edu/events/4976/hu…
Our paper “Challenges in moderating disruptive player behavior in online competitive action games” together with #activision unveils novel insights about challenges in this area #OnlineGaming #GameModeration @rmichaelalvarez @AnimaAnandkumar @GrantCahill frontiersin.org/articles/10.33…
Nature review: Scientific discovery in the age of artificial intelligence go.nature.com/45fUazH
🏆 Our paper "Deep Multimodal Fusion for Surgical Feedback Classification" won the best proceedings paper at @SymposiumML4H! 🎉 tinyurl.com/deep-surgical-… We're revolutionizing #SurgicalTraining by automating feedback analysis using #MachineLearning. We've developed the first #AI…
#NeurIPS2023 dinner with my team and collaborators. Great to get everyone together after an energizing week!
🚀New AI Alert! Introducing BiasTestGPT, a user-friendly tool for detecting and analyzing social biases in Pretrained Language Models. It uses ChatGPT to generate diverse test sentences, enabling deeper insights into social biases in LLMs. 🔍BiasTestGPT stands out for its ability…
"Deep Multimodal Fusion for Surgical Feedback Classification" by Rafal Dariusz Kocielnik, Elyssa Wong, Timothy Chu, Lydia Lin, Jiayun Wang, De-An Huang, Anima Anandkumar, Andrew Hung
Drumroll please… 🥁Congrats to the best paper award winners at #ML4H2023! Excited to see the range of topics: fusion models, fetal doppler ultrasounds, medical imaging, instruction datasets 🩻📊🤩
Pleased to announce a Call for Papers for a Special Issue on Conversational Agents for Healthcare & Wellbeing to be published at the #ACM TiiS with a great team of editors: @LilianaLaranjo @lmhclark @RKocielnik Robert Moore @QVeraLiao Timothy Bickmore. drive.google.com/file/d/113vcsZ…
Paper Chairs for CHI 2021 are looking for assistants! Email papers@chi2021.acm.org -Supportive letter from your supervisor -Motivation letter & CV -University, time zone, contact information Steven Drucker, Microsoft, Seattle Pernille Bjørn, University of Copenhagen
We are organizing a "Conversational Agents for Health and Wellbeing" workshop on CHI - casforhealth.org. It will be a great opportunity to bring people from the medical and HCI fields together! Please consider submitting a position paper, the deadline is Feb 11. #chi2020
My name is on the next mission to Mars: NASA's #Mars2020 Rover. Send your name too! mars.nasa.gov/participate/se…
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