Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space 事件

Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space arXiv:2604.04944v2 Announce Type: replace Abstract: Multiple-choice questions (MCQs) are widely used to evaluate large language models (LLMs). However, LLMs remain vulnerable to the presence of plausible distractors. This often diverts attention toward irrelevant choices, resulting in unstable oscillation between correct and incorrect answers. In this paper, we propose Inclusion-of-Thoughts (IoT), a progre