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siyuansong.bsky.social
3rd yr Linguistics undergrad @utaustin.bsky.social Comp Psycholing & CogSci, human-like AI, rock🎸 Prev: VURI@Harvard Psych, Undergrad@SJTU Looking for Ph.D position 26' Fall
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I'm excited to announce two papers of ours which will be presented this summer at @naaclmeeting.bsky.social eting.bsky.social and @iclr-conf.bsky.social ! 🧵

New preprint w/ @jennhu.bsky.social @kmahowald.bsky.social : Can LLMs introspect about their knowledge of language? Across models and domains, we did not find evidence that LLMs have privileged access to their own predictions. 🧵(1/8)

Check it out for cool plots like this about how affinities between words in sentences and how they can show how Green Day isn't like green paint or green tea. And congrats to @coryshain.bsky.social and the CLiMB lab! climblab.org

Hey everyone 👋 I'm new here! If you followed on X, please give me a follow. If not, I'm a computational linguist and NLPer. I am the PI of UCSD's Learning Meaning and Natural Language Lab. a.k.a. LeM🍋N Lab! What do we do? 👇

Now hiring for two lab manager positions at Stanford! Hyo Gweon and I are coordinating joint searches since our labs collaborate frequently. Please join us! careersearch.stanford.edu/jobs/researc... and careersearch.stanford.edu/jobs/lab-coo...

really interesting stuff on diversity-of-thought vs alignment by Sonia Murthy and Jenn Hu (and I'm there too) at #NAACL2025. See also this nifty write-up at Kempner's blog here: kempnerinstitute.harvard.edu/research/dee...

LMs need linguistics! New paper, with @futrell.bsky.social, on LMs and linguistics that conveys our excitement about what the present moment means for linguistics and what linguistics can do for LMs. Paper: arxiv.org/abs/2501.17047. 🧵below.

Excited that this got accepted at naacl/@naaclmeeting.bsky.social 2025! Massive kudos to Juan Diego and Aaron for being the best co-authors and colleagues one could ask for! 🙏

Stop by our #NeurIPS tutorial on Experimental Design & Analysis for AI Researchers! 📊 neurips.cc/virtual/2024/tutorial/99528 Are you an AI researcher interested in comparing models/methods? Then your conclusions rely on well-designed experiments. We'll cover best practices + case studies. 👇

Excited that the final version of our paper on filtered corpus training is out now in TACL! (Original thread is on the bad site, but the paper's title is a succinct summary.) doi.org/10.1162/tacl... Always a pleasure to work with Abhinav Patil and @jumelet.bsky.social , who deserve the real credit

There's too many starter packs. 👇 Here's a list, mostly for NLP, ML, and related areas.

thinking of calling this "The Illusion Illusion" (more examples below)

@kanishka.bsky.social and I have made a starter pack for researchers working broadly on linguistic interpretability and LLMs! go.bsky.app/F9qzAUn Please message me or comment on this post if you've noticed someone who we forgot or would like to be added yourself!

A starter pack for the NLP and Computational Linguistics researchers at UT Austin! go.bsky.app/75g9JLT