7 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
Alignment Forecasting: Predicting Misalignment From Training Data
Chen Yueh-Han, Bruce W. Lee, Ilia Sucholutsky +1
Training a language model on data with a narrow flaw can sometimes make the model broadly misaligned. Inspecting the data at face value often does not settle whether it will emerge…
Inertia in Moral and Value Judgments of Large Language Models
Bruce W. Lee, Yeongheon Lee, Hyunsoo Cho
Large Language Models (LLMs) behave non-deterministically, and prompting has become a common method for steering their outputs. A popular strategy is to assign a persona to the mod…
HyperCLOVA X Technical Report
Kang Min Yoo, Jaegeun Han, Sookyo In +393
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. H…
Instruction Tuning with Human Curriculum
Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo
In this work, we (1) introduce Curriculum Instruction Tuning, (2) explore the potential advantages of employing diverse curriculum strategies, and (3) delineate a synthetic instruc…