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Yu Zhao

@yuzhaouoe

https://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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18.11.2024
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Latest posts by Yu Zhao @yuzhaouoe

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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%)!

17.10.2025 09:23 👍 2 🔁 1 💬 0 📌 0
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💡 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/

23.05.2025 12:23 👍 4 🔁 2 💬 1 📌 0
MMLU-Redux Poster at NAACL 2025

MMLU-Redux Poster at NAACL 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! 👋

02.05.2025 13:00 👍 17 🔁 11 💬 0 📌 0

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🚀🚀🚀

06.03.2025 16:34 👍 3 🔁 0 💬 0 📌 0

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

20.11.2024 09:57 👍 13 🔁 2 💬 1 📌 0
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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

18.11.2024 13:48 👍 11 🔁 7 💬 0 📌 0