SKILLGRAPH is a framework that represents reusable skills as nodes in a directed graph, with typed edges encoding prerequisite, enhancement, and co-occurrence relations, that achieves state-of-the-art performance against memory-augmented RL methods, with especially large gains on complex tasks that require composing mu...
Xiaoyuan Li, Mo-Xin Li, Ke-Qin Bao et al.· arXiv.org· 15 citations· ⚡1
Looped Language Models (LoopLMs) offer a parameter efficient approach to scaling reasoning by reusing shared parameters across recurrent computation steps. Despite their promise, effective post-training of LoopLMs remains challenging. Existing approaches either provide reward based supervision that is sparse or costly...
It is demonstrated that the hidden states of probed answers more effectively differentiate distinct solution paths than semantic embeddings, and the perplexity of probed answers serves as a practical proxy for reasoning correctness.
Yi Fang, Quek Shen, Chengping Li et al.· 0 citations
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