作者位次 #3/6ICLR 2026Poster· Applications / Language, Speech and Dialog
RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs
Kohsei Matsutani · Shota Takashiro · Gouki Minegishi · Takeshi Kojima · Yusuke Iwasawa · Yutaka Matsuo
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Kohsei Matsutani · Shota Takashiro · Gouki Minegishi · Takeshi Kojima · Yusuke Iwasawa · Yutaka Matsuo
Hakaze Cho · Haolin Yang · Gouki Minegishi · Naoya Inoue
Gouki Minegishi · Hiroki Furuta · Takeshi Kojima · Yusuke Iwasawa · Yutaka Matsuo
Emergent misalignment, where fine-tuning on narrow, non-harmful tasks induces harmful behaviors, poses a key challenge for AI safety in LLMs. Despite growing empirical evidence, its underlying mechanism remains unclear. To uncover the reason behind this phenomenon, we propose a mechanistic accoun...