Post-training influences verbalized algorithmic computation in language models; probing shows carry information remains recoverable from internal activations across SFT and RLVR checks
Read the original at arxiv.org→arXiv:2611.13552v1 Announce Type: new Abstract: Post-training improves language-model reasoning, but how it changes the use of internal information and verbalized chain of thought (CoT) remains unclear. We study...
Original headline: "How Post-Training Influences Verbalized Algorithmic Computation in Language Models"
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- Nov 11, 05:00 UTC arXiv cs.CL lead source How Post-Training Influences Verbalized Algorithmic Computation in Language Models