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

83 Following

1,529 Followers

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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.
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.
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…
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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/
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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!
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
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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Daphne Ippolito

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