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most citedReasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

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cs.AI2026

From Noise to Diversity: Random Embedding Injection in LLM Reasoning

Heejun Kim, Seungpil Lee, Jewon Yeom +5

Recent soft prompt research has tried to improve reasoning by inserting trained vectors into LLM inputs, yet whether the gain comes from the learned content or from the act of inje…