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Yu Zhao

@yuzhaouoe.bsky.social
222 followers 69 following 1 posts

yuzhaouoe.github.io | third-year PhD Student @ University of Edinburgh | Prev. Intern @ Microsoft Research Cambridge | Opening the Black Box for Efficient Training/Inference

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Reposted by Yu Zhao
Pasquale Minervini @neuralnoise.com · 17/10/2025
Check out Yu Zhao's (@yuzhaouoe.bsky.social) latest work, “Learning GUI Grounding with Spatial Reasoning from Visual Feedback” (www.arxiv.org/abs/2509.21552), done during his internship at MSR (@msftresearch.bsky.social)! New SOTA 🏆 results on ScreenSpot-v2 (+5.7%) and ScreenSpot-Pro (+110.8%)!
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Reposted by Yu Zhao
Daniel Scalena @danielsc4.it · 23/05/2025
💡 We compare prompting (zero and multi-shot + explanations) and inference-time interventions (ActAdd, REFT and SAEs). Following SpARE (@yuzhaouoe.bsky.social @alessiodevoto.bsky.social), we propose ✨ contrastive SAE steering ✨ with mutual info to personalize literary MT by tuning latent features 4/
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Aryo Pradipta Gema @aryopg.bsky.social · 02/05/2025
MMLU-Redux just touched down at #NAACL2025! 🎉 Wish I could be there for our "Are We Done with MMLU?" poster today (9:00-10:30am in Hall 3, Poster Session 7), but visa drama said nope 😅 If anyone's swinging by, give our research some love! Hit me up if you check it out! 👋
MMLU-Redux Poster at NAACL 2025
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Yu Zhao @yuzhaouoe.bsky.social · 06/03/2025
We find a single biased direction encodes a KV Cache selection mechanism in Self-Attention -- Key vector with a strong component in this direction results in this Key-Value pair being ignored by Query🚀🚀🚀
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Reposted by Yu Zhao
Alessio Devoto @alessiodevoto.bsky.social · 20/11/2024
New and very cool library!👏 Our L2 Norm-based KV Cache compression is already implemented - ready to use! 🚀 Check out the method details in our EMNLP '24 paper: arxiv.org/abs/2406.11430
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Reposted by Yu Zhao
Aryo Pradipta Gema @aryopg.bsky.social · 18/11/2024
I’ll be travelling to London from Wednesday to Friday for an upcoming event and would be very happy to meet up! 🚀 I'd love to chat about my recent works (DeCoRe, MMLU-Redux, etc.). DM me if you’re around! 👋 DeCoRe: arxiv.org/abs/2410.18860 MMLU-Redux: arxiv.org/abs/2406.04127
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