Papers › Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented...

Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation

5 Jun 2025arXiv:2506.05154archive 2025-07-28

Chenyu Lin, Yilin Wen, Du Su, Fei Sun, Muhan Chen, Chenfu Bao, Zhonghou Lv

Retrieval-augmented generation (RAG) is a mainstream method for improving performance on knowledge-intensive tasks. However,current RAG systems often place too much emphasis on retrieved contexts. This can lead to reliance on inaccurate sources and overlook the model's inherent knowledge, especially when dealing with misleading or excessive information. To resolve this imbalance, we propose Knowledgeable-r1 that using joint sampling and define multi policy distributions in knowledge capability exploration to stimulate large language models'self-integrated utilization of parametric and contextual knowledge. Experiments show that Knowledgeable-r1 significantly enhances robustness and reasoning accuracy in both parameters and contextual conflict tasks and general RAG tasks, especially outperforming baselines by 17.07% in counterfactual scenarios and demonstrating consistent gains across RAG tasks. Our code are available at https://github.com/lcy80366872/ knowledgeable-r1.

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calculate_metrics_for_dataset lcy80366872/knowledgeable-r1/get_metric.py official repository ran · our draft was wrong MIT (permissive) · 74058a584804bb52 · report
create_summary_tables lcy80366872/knowledgeable-r1/get_metric.py official repository ran · our draft was wrong MIT (permissive) · 216d106095f0f128 · report
process_results_folder lcy80366872/knowledgeable-r1/get_metric.py official repository ran · our draft was wrong MIT (permissive) · b05420ebe972b7e7 · report
get_rope_index lcy80366872/knowledgeable-r1/verl/models/transformers/qwen2_vl.py official repository unverified MIT (permissive) · 627247bc47104fec · report
qwen2_vl_attn_forward lcy80366872/knowledgeable-r1/verl/models/transformers/qwen2_vl.py official repository unverified MIT (permissive) · 1e90bebc7c04c766 · report

Tasks

RAGRetrievalRetrieval-augmented Generation

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AttentionAttention DropoutBARTBERTBPEDense ConnectionsDropoutLayer NormalizationLinear LayerLinear Warmup With Linear DecayMulti-Head AttentionRAGSoftmaxWordPiece

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