69 citations · 70 across the 8 of their papers we have counts for
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cs.LG2026
Safe Transformer: An Explicit Safety Bit For Interpretable And Controllable Alignment
Jingyuan Feng, Andrew Gambardella, Gouki Minegishi +3
Current safety alignment methods encode safe behavior implicitly within model parameters, creating a fundamental opacity: we cannot easily inspect why a model refuses a request, no…
cs.LG2024★ 1 cited
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo
The ability (and inability) of large language models (LLMs) to perform arithmetic tasks has been the subject of much theoretical and practical debate. We show that LLMs are frequen…