Looking forward to presenting our #CHI2025 work with
@dj_hci , @jayhersk , @binomial14wu , and Dr. Cecily Morrison on designing intent-driven AI systems for supporting deaf and hard of hearing people's sensemaking of auditory environments!
Session Link: programs.sigchi.org/chi/2025/progr…
Finally, @binomial14wu will present a poster on CARTGPT (3:30-4:15pm), a human-AI approach to generating highly accurate real-time captioning. Our approach uses LLMs & ASR to fix in-situ CART errors in edge situations (e.g., high noise, fast speakers).
dl.acm.org/doi/10.1145/36…
Unfortunately, I missed #ASSETS2024, but look out for Soundability Lab students @jzh2o, @xinyun_c, & @binomial14wu presenting two papers, a poster, & a demo tomorrow. The key session is "3B: Sounds Around Us," 9 – 10:15 am. Details in the thread:
Unfortunately, I missed #ASSETS2024, but look out for Soundability Lab students @jzh2o, @xinyun_c, & @binomial14wu presenting two papers, a poster, & a demo tomorrow. The key session is "3B: Sounds Around Us," 9 – 10:15 am. Details in the thread:
The Happiness Equation and How AI Solves For It
We are all engaged in pursuing and attaining happiness. Our Founding Fathers went so far as to call it out in the Declaration of Independence. So, can happiness be engineered? Short answer: Yes. The happiness equations are a good…
So I finally did what I promised 3mo ago – We wrote a reflection paper on using LLMs to replicate crowdsourcing pipelines, based on an assignment in our Human-Centered NLP course! arxiv.org/pdf/2307.10168…
20+ students implemented 7 crowd. pipelines from prior research & find…
1/
Can language models help us do better search?🤔
🎉In #ACL2023 findings, we present EAR pipeline:
🎲sample multiple queries from LM
🎯rescore to select best query
🔍BM25 search
💪boost OpenQA accuracy to beat DPR/GAR
arxiv: arxiv.org/abs/2305.17080
code: github.com/voidism/EAR
📢New Paper Alert!!🚀
arxiv.org/abs/2304.03728
Does ChatGPT have the ability to check facts by itself?🤔
We designed a simple, few-shot, unified chain-of-thought prompting pipeline that can do:
🔹Fact-checking ✅
🔹Stereotype detection 🚫
🔹Hate speech detection 🙅 (1/2)
1/Large language models like Galactica and ChatGPT can spout nonsense in a confident, authoritative tone. This overconfidence - which reflects the data they’re trained on - makes them more likely to mislead.
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