Lukas Aichberger
2 indexed papers
Recent (6 mo)
2With code
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226
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AI×2ML×1NLP×1
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2026
Unlocking the Working Memory of Large Language Models for Latent Reasoning
The paper introduces Reasoning in Memory (RiM), a latent reasoning method that replaces autoregressive token generation with fixed memory blocks to enable compute-efficient internal working memory for LLMs.
RREDCoT: Segment-Level Reward Redistribution for Reasoning Models
This paper introduces RREDCoT, a method for approximating optimal reward redistribution in Chain-of-Thought reasoning language models without additional generation.
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