@divvsaxena No, this is an in-person internship and only available to undergraduate students at North American universities.
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Daphne Ippolito
51 posts
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.
เข้าร่วม Kasım 2011
83 กำลังติดตาม1.5K ผู้ติดตาม
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
🚀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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@x__abhijaat__x This is an in-person internship, and only available to undergraduate students at North American universities.
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@daphneipp Hey I have worked with NLP for quite some time. Can you tell me whats the requirement for this project and if I can do it remotely?
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Daphne Ippolito รีทวีตแล้ว
Anyone may be able to compromise LLMs with malicious content posted online. With just a small amount of data, adversaries can backdoor chatbots to become unusable for RAG, or bias their outputs towards specific beliefs. Check our latest work! 👇🧵
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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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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_
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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The majority of reviewers in my pool for this cycle's ARR struggled to write on-time, detailed reviews.
If you as a researcher hope to receive good reviews, you need to start by writing them.
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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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In the past, I've studied how curation decisions for pre-training data influence what LMs are good and bad at.
In our new preprint, we look at how the fabric of the internet (the primary source of most of these datasets), is itself changing, and the effects this might have.
Shayne Longpre@ShayneRedford
✨New Preprint ✨ How are shifting norms on the web impacting AI? We find: 📉 A rapid decline in the consenting data commons (the web) ⚖️ Differing access to data by company, due to crawling restrictions (e.g.🔻26% OpenAI, 🔻13% Anthropic) ⛔️ Robots.txt preference protocols are ineffective These precipitous changes will impact the availability and scaling laws for AI data, affecting coporate developers, but also non-profit and academic research. 🔗 dataprovenance.org/consent-in-cri… 1/
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Daphne Ippolito รีทวีตแล้ว
🚨New Paper🚨: Are AI text detectors *really* as good as they claim? (#ACL2024)
We release RAID—The largest & most challenging detection benchmark with 6M+ outputs from 11 LLMs, 8 domains, 4 decoding strategies, and 11 adv attacks
arxiv.org/abs/2405.07940
github.com/liamdugan/raid
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Daphne Ippolito รีทวีตแล้ว
Author order on academic papers is important!
My Google friends and I spent lots of time thinking about this critical issue (the scores of our ICML submissions show this is time well spent)
We distill our findings for the community here:
floriantramer.com/docs/papers/Au…
Comments welcome!
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See our new research on human ability to detect when a text passage transitions from human-written to language model-generated. We will be presenting this work at AAAI this week!
Liam Dugan@LiamDugan_
✨New Paper✨: Can human readers detect generated text from language models like #ChatGPT? Turns out some can ✅ and some can't ⛔ (but people improve significantly with practice!) We release RoFT, the largest dataset of human detection to date arxiv.org/abs/2212.12672 🧵 1/
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This excellent article talks about some of my older work on the detection of language model-generated text!
MIT Technology Review@techreview
The internet is increasingly awash with AI-generated text. Here's how to detect whether something was written by a human or a machine. trib.al/2CZdNNu
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@daphneipp @LTIatCMU That’s excellent, hope we can meet soon. I’m in English, but I’ve worked a bunch with folks from LTI.
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I'm starting as an assistant professor at @LTIatCMU in Fall 2023. If you or someone you know is interested in studying the limitations of large language models, or how they can be applied to assist humans writers, please consider applying!
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You should mention my name in your statement of purpose if you are interested in working with me. Please don't email me.
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My collaborators and I have spent the last year learning from professional writers about the roles AI could play in providing creative writing assistance. Take a look at the whitepaper and stories!
Google AI@GoogleAI
To explore how a dialogue engine can assist writers with idea generation, we are building a text editing tool on LaMDA. We teamed up with professional writers who used the editor to create a volume of short stories. Check out their great work. (2/5) g.co/research/wordc…
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Announcing the Training Data Extraction Challenge, part of @satml_conf! Your mission: extract train set strings memorized by a 1.3B parameter language model. More details at github.com/google-researc…
GPU time is available through @GoogleColab; let us know if you’re participating!
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@BlancheMinerva @satml_conf @GoogleColab We appreciate that EAI was one of the first groups to release large language models trained on accessible data. This research would not be possible with that.
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@daphneipp @satml_conf @GoogleColab and their authors typically have a vested financial interest in ensuring that remains the case! By contrast, EleutherAI has always encouraged, promoted, and offered to fund research on ethical, security, and legal issues with our models.
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