Christopher Barrie (@cbarrie) 's Twitter Profile
Christopher Barrie

@cbarrie

Assistant Professor of Sociology @nyuniversity

ID: 95226101

linkhttp://cjbarrie.com calendar_today07-12-2009 15:57:51

4,4K Tweet

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Christopher Barrie (@cbarrie) 's Twitter Profile Photo

Nothing to see here, it probably replicates and we can check when we dust off the hard drive in 50 years' time, right? Meanwhile, you can read my article "Replication for Language Models" w/ Arthur Spirling and Lexi Palmer here: drive.google.com/file/d/1wNDIkM…

Nothing to see here, it probably replicates and we can check when we dust off the hard drive in 50 years' time, right?

Meanwhile, you can read my article "Replication for Language Models" w/ <a href="/arthur_spirling/">Arthur Spirling</a> and <a href="/LexiPalmer_/">Lexi Palmer</a>  here:

drive.google.com/file/d/1wNDIkM…
Christopher Barrie (@cbarrie) 's Twitter Profile Photo

🤖💡 Are LLMs really developing social behaviors—or just reproducing familiar patterns from training? In our new paper, Petter Törnberg and I take a closer look at recent claims of emergent conventions in AI and offer a different perspective... 🧵

🤖💡 Are LLMs really developing social behaviors—or just reproducing familiar patterns from training? In our new paper, <a href="/pettertornberg/">Petter Törnberg</a> and I take a closer look at recent claims of emergent conventions in AI and offer a different perspective... 🧵
BK Lee (@bklee009) 's Twitter Profile Photo

New Post-doc position!! An amazing opportunity to work on cutting-edge research using smartphone mobility data on community and mental health with a great team! Related research: pnas.org/doi/10.1073/pn…

Sol Messing (@solomonmg) 's Twitter Profile Photo

🧵 NEW PAPER - "Quantifying Narrative Similarity Across Languages" is live at SMR. We combine NLP w pairwise LLM evals to track ideas across media ecosystems and languages. We also figured out a way to eval unsupervised probs on widely understood supervised performance metrics.

🧵 NEW PAPER - "Quantifying Narrative Similarity Across Languages" is live at SMR. We combine NLP  w pairwise LLM evals to track ideas across media ecosystems and languages. We also figured out a way to eval unsupervised probs on widely understood supervised performance metrics.