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20232026
most citedLearning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs

1 citations · 4 across the 12 of their papers we have counts for

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cs.CL2026

CTRL-RAG: Contrastive Likelihood Reward Based Reinforcement Learning for Context-Faithful RAG Models

Zhehao Tan, Yihan Jiao, Dan Yang +8

With the growing use of Retrieval-Augmented Generation (RAG), training large language models (LLMs) for context-sensitive reasoning and faithfulness is increasingly important. Exis…