zhuhao.me
AI researcher. Postdocing at Stanford NLP. Prev: PhD CMU LTI. Visit https://zhuhao.me Raising agents in the Opensocial.world
👤 Joined on 13 November 2024
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@prokil.bsky.social@prokil.bsky.social → @zhuhao.meWe (w/ @diyiyang.bsky.social, @zhuhao.me, & Bodhisattwa Prasad Majumder) are excited to present our #NAACL25 tutorial on Social Intelligence in the Age of LLMs! It will highlight long-standing and emerging challenges of AI interacting w humans, society & the world. ⏰ May 3, 2:00pm-5:30pm Room Pecos
Show PostWe often assume that specialized roles improve performance in multi-agent systems, but when does specialization emerge based on a given task and environment? 🧵👇 ⭐️ New preprint w/ Ruaridh Mon-Williams, @neilbramley.bsky.social, Chris Lucas, @natvelali.bsky.social & @cocoscilab.bsky.social
Show PostNeat visualization that came up in the ARBOR project: this shows DeepSeek "thinking" about a question, and color is the probability that, if it exited thinking, it would give the right answer. (Here yellow means correct.)
Show PostCheck out our new work on introspection in LLMs! 🔍 TL;DR we find no evidence that LLMs have privileged access to their own knowledge. Beyond the study of LLM introspection, our findings inform an ongoing debate in linguistics research: prompting (eg grammaticality judgments) =/= prob measurement!
Show PostHow a 40-Year-Old Trick Solves Seamless Image Blending Laplacian pyramid blending is a simple yet effective tool for many applications, including object composition, seamless panorama stitching, and exposure fusion. Let’s learn this classic method that still works so well today.
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