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Sebastian Schuster

@sebschu.bsky.social

2.2K followers 366 following 11 posts

Computational semantics and pragmatics, interpretability and occasionally some psycholinguistics. he/him. 🦝 sebschu.com

Posts Replies Media

Reposted by Sebastian Schuster

Andreas Proschofsky @sukahiroaki.bsky.social · 15/09/2026

Ein (leider notwendiger) Longread zur aktuellen KI-Doomer-Panik. www.derstandard.at/story/300000...

derstandard.at

Von wegen KI-Apokalypse: Das Problem sind verantwortungslose Unternehmen, nicht magische KI

Warum die Diskussion über existenzielle Risiken durch KI an den realen Problemen vorbeigeht und die Hersteller von ihrer Verantwortung befreit

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Reposted by Sebastian Schuster

tddl @bachmannwettbewerb.bsky.social · 28/06/2026

Wir gratulieren Magdalena Schrefel zum 3sat Preis! 🥳 #tddl

Magdalena Schrefel mit kurzen, dunklen Haaren lächelt in die Kamera.

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Reposted by Sebastian Schuster

Gaurav Kamath @grvkamath.bsky.social · 04/03/2026

🚨New Paper!🚨 How do reasoning LLMs handle inferences that have no deterministic answer? We find that they diverge from humans in some significant ways, and fail to reflect human uncertainty… 🧵(1/10)

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Reposted by Sebastian Schuster

Gaurav Kamath @grvkamath.bsky.social · 29/07/2025

Our new paper in #PNAS (bit.ly/4fcWfma) presents a surprising finding—when words change meaning, older speakers rapidly adopt the new usage; inter-generational differences are often minor. w/ Michelle Yang, ‪@sivareddyg.bsky.social‬ , @msonderegger.bsky.social‬ and @dallascard.bsky.social‬👇(1/12)

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Reposted by Sebastian Schuster

Najoung Kim @najoung.bsky.social · 25/07/2025

👾 Full-time research assistant position (1 year) with @sebschu.bsky.social and me! 👾 We're looking for someone to join the research agent evaluation team, starting Fall 2025. Application link to be available soon, but feel free to send us your CV and/or come talk to us at #ACL2025. 🧵

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Sebastian Schuster @sebschu.bsky.social · 02/07/2025

Can coding agents autonomously implement AI research extensions? We introduce RExBench, a benchmark that tests if a coding agent can implement a novel experiment based on existing research and code. Finding: Most agents we tested had a low success rate, but there is promise!

Screenshot of the RExBench preprint title page.

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