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Daphne Ippolito
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Daphne Ippolito

@daphneipp
I am an assistant professor at Carnegie Mellon University and also a senior research scientist at Google. I research topics in natural language generation.
Joined November 2011
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  • user avatar
    Daphne Ippolito
    @daphneipp
    May 15
    There's been lots of talk about AI for science. However, AI could be transformative for research in archaeology and history as well. If this intersection sounds exciting, we welcome you to join us for a workshop on this topic in Baltimore, MD on Friday, May 22. PM for details.
  • user avatar
    Daphne Ippolito
    @daphneipp
    Feb 2
    I am looking to hire an undergraduate summer intern who is interested in building AI tools to support historians and other researchers who work with archival materials. If you're interested, please apply at the link Maarten Sap shared.
    user avatar
    Maarten Sap (he/him)
    @MaartenSap
    Feb 2
    🚀Apply to CMU LTI’s Summer 2026 “Language Technology for All” internship🎓Open to pre‑doctoral students new to language tech (non‑CS backgrounds welcome). 🔬12-14 weeks in‑person in Pittsburgh; travel + stipend paid.💸Deadline: Feb 20, 11:59pm ET. forms.gle/cUu8g6wb27HsWW…
  • user avatar
    Daphne Ippolito
    @daphneipp
    Nov 15, 2024
    Do you want to better understand the technology underlying all this large language model hype? @gneubig and I will be teaching an online, flipped-classroom course next semester on methods for building and using large language models. Anyone can apply. cmu.edu/online/gai-llm/
  • user avatar
    Daphne Ippolito
    @daphneipp
    Aug 12, 2024
    Liam Dugan and his UPenn collaborators have done excellent work on testing out all the different methods for detecting AI-generated text, showing their efficacy across LMs and text domains, as well as their robustness to adversarial attacks. There's a new public benchmark too!
    user avatar
    Liam Dugan
    @LiamDugan_
    Aug 12, 2024
    At #ACL2024 and interested in detecting generated text? Come check out our poster session tomorrow (Session 5) Aug 13 @ 16:00! We'll talk about benchmarks, detector robustness, future directions, etc. Website: raid-bench.xyz Paper: arxiv.org/abs/2405.07940
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  • user avatar
    Daphne Ippolito
    @daphneipp
    Jul 22, 2024
    Some guidelines for reviewing for ARR: 1. Submit your review on time. If you don't think you can, notify the AC right away. 2. Be opinionated. Scores of 2.5 - 3.5 should be used sparingly. 3. Be detailed. Refer to specific paragraphs, figures, etc. to back your claims.

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