2 citations · 5 across the 13 of their papers we have counts for
3 papers · 1 filter
Bayesian Fine-tuning Yields Language Models that are as Bayesian as their Beliefs Allow
Polina Tsvilodub, Andreas Waldis, Linlu Qiu +2
Language models (LMs) are increasingly used for tasks that require reasoning about hidden variables from a few observations, for which Bayesian inference is the normatively correct…
AIMO Interpretability Challenge
Michal Štefánik, Philipp Mondorf, Andreas Waldis +15
We propose the AIMO Interpretability Challenge, a competition on distinguishing robust from spurious reasoning in frontier mathematical language models based on the models' interna…
Instructions Shape Production of Language, not Processing
Andreas Waldis, Leshem Choshen, Yufang Hou +1
Instructions trigger a production-centered mechanism in language models. Through a cognitively inspired lens that separates language processing and production, we reveal this mecha…