---
title: "Discussion on \"Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning\" | Hashnode"
description: "Discussion on \"Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning\". Large language models (LLMs) have shown impressive capabilities in structured reasoning tasks, yet their proficiency in compositional multi-hop reasoning remains constrained, particularly in specialized scientific disciplines. This limitation arises ..."
url: "https://hashnode.com/posts/knowledge-graphs-are-implicit-reward-models-path-derived-signals-enable-compositional-reasoning/697c6c0a0a80845949cb8a0c"
---

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# [Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning](https://encauth.hashnode.dev/knowledge-graphs-are-implicit-reward-models-path-derived-signals-enable-compositional-reasoning?utm_source=hashnode&utm_medium=feed)

Large language models (LLMs) have shown impressive capabilities in structured reasoning tasks, yet their proficiency in compositional multi-hop reasoning remains constrained, particularly in specialized scientific disciplines. This limitation arises ...

Jan 30 · 2 min read · encauth.hashnode.dev  
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