arXiv (OAI Expanded)
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Tool Use Reduces Depth-Induced Collapse in OOD Reasoning
Many current paths to more advanced AI depend on the assumption that large language models (LLMs) can generalize learned relationships to solve complex, out-of-distribution (OOD) problems. However, this is not an easy quality to measure. For most real-world problems and benchmarks it suffices to exp
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