Niloofar
@niloofar_mire
Technical staff @humansand, asst. prof @LTIatCMU @CMU_EPP, ex RS in @AIatMeta, postdoc @uwcse, Ph.D. @ucsd_cse, former @MSFTResearch -- NAACL & ACL pr chair
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My lab's research is supported by both @thinkymachines and @river_ai_inc, and I asked one of my students to compare the baseline and RL (GRPO) performance of GLM 5.2 through both APIs, to see how much they disagree. The task is memory based agentic long-horizon, and tldr the two APIs have very similar performance! I'm quite shocked how close the final model outcomes are.
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It was such an honor to sit down with @Dr_Atoosa and @nhaghtal for this, amazing, strong women I have looked up to all my career ♥️
Here’s to a brighter future!
Lately I have been thinking a lot about AI for education (inspired by the amazing @alexisjross), and have been realizing that training models for education (both AI tutors and AI students) is non-trivial and bottle necked by user data, and how theory of mind plays a big role.
I gave a tutorial on this at the Workshop on Innovative Use of NLP for Building Educational Applications @aclmeeting (virtually), where I talked about the privacy risks posed here: consent, data retention, memorization and context for personalization.
slides⬇️, recording coming soon!
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