Taylor Berg-Kirkpatrick
@BergKirkpatrick
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Excited to introduce our SoTA coding models, FrogBoss (32B) and FrogMini (14B), on SWE-Bench-Verified! (FrogBoss eats bugs… like a boss) 🐸🪲 These models were trained with bugs from a mix of existing and our new synthetic bug generation approach, called BugPilot. (1/n)
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We hope to extend this framework in the future to real-time models like MagentaRT. And we hope you will play with our code as well to make your own cool music creations! Huge thanks to the team @zacknovack @dbeagleholeCS @BergKirkpatrick ! https://t.co/oZciYbgB9P (5/5)
arxiv.org
Controllable music generation remains a significant challenge, with existing methods often requiring model retraining or introducing audible artifacts. We introduce MusicRFM, a framework that...
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So excited for Niloofar!!! she’s truly a force of nature — honored to have been along for part of the ride!!
📣Thrilled to announce I’ll join Carnegie Mellon University (@CMU_EPP & @LTIatCMU) as an Assistant Professor starting Fall 2026! Until then, I’ll be a Research Scientist at @AIatMeta FAIR in SF, working with @kamalikac’s amazing team on privacy, security, and reasoning in LLMs!
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Excited for my 1st #ISMIR2024 this week! Happy to chat about controllable + fast music generation 🙂 I'll be presenting our part 2 of DITTO, where we accelerate control to near real-time! DITTO-2: Distilled Diffusion Inference Time T-Optimization 🎹: https://t.co/WaARGNjfrM 🧵
``DITTO-2: Distilled Diffusion Inference-Time T-Optimization for Music Generation,'' Zachary Novack, Julian McAuley, Taylor Berg-Kirkpatrick, Nicholas Bryan,
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Together with @EarlenceF and amazing students we demonstrated that obfuscated adversarial prompts can secretly exfiltrate Personally Identifiable Information (PII) from an LLM chat interface via tool misuse.
We've done some work on hacking AI/LLM Agents by creating obfuscated adversarial prompts. What do you think this prompt does? Would you believe me if I told you it will polish the heck out of that cover or visa application letter?
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Checkout our ACL poster today at 4pm! Transfer learning for low-resource logographic writing systems can be extremely challenging. We find that visual representations offer advantages! w/ @danlu_ai, @fredahshi, Aditi Agarwal, and Jacobo Myerston
Can ancient (logograhpic) languages from 5,000 years ago be processed like modern ones using NLP? We found visual representation-based system for NLP on ancient logographic languages outperforms conventional Latin transliteration! Join us at Poster s3 - Mon 4pm #ACL2024 #NLProc
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New work from my students @ivn1e and @nanjiangwill: empirical study of from-scratch ICL performance (including extrapolation to larger in-context datasets) for a wide range of architectures, including SSMs and other things that aren’t transformers. At ICLR 24, check it out!
Is attention required for ICL? We explore this question in our #ICLR2024 paper Exploring the Relationship Between Model Architecture and In-Context Learning Ability. Code: https://t.co/8L8GSZpn5L Paper: https://t.co/WE3gnWSjM1 with @nanjiangwill and @BergKirkpatrick 1/10
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Belated congratulations to Harsh for successfully defending his PhD!!!!! Sad to loose you as a student, but thrilled to see you succeed so magnificently! @harsh_jhamtani
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Huge congrats to Kartik for completing his thesis defense today!!! Happy and sad: Kartik was one of the very first PhD students to join my group when I started at CMU, co-advised by @redpony. Sad to loose you Kartik! But excited for your future! Onwards to Chicago!!!
Please join us in welcoming two of our new Research Assistant Professors, Dr. Hongyuan Mei and Kartik Goyal! They will be joining TTIC's faculty in September. Follow the link to learn more: https://t.co/cw5zsGbPzV
#ttic #faculty #computerscience
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Please join us in welcoming two of our new Research Assistant Professors, Dr. Hongyuan Mei and Kartik Goyal! They will be joining TTIC's faculty in September. Follow the link to learn more: https://t.co/cw5zsGbPzV
#ttic #faculty #computerscience
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