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Arxiv
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Benchmarking Systematic Relational Reasoning with Large Language and Reasoning Models
- Large Language Models (LLMs) struggle with systematic reasoning, even when performing well on certain tasks.
- Post-training strategies based on reinforcement learning and chain-of-thought prompting have been seen as an improvement.
- Little is known about the potential of Large Reasoning Models(LRMs) beyond mathematics and programming.
- LLMs and LRMs still overall perform poorly, albeit better than random chance.
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