Baidu's Improving Retrieval Augmented Language Model with Self-Reasoning

The paper titled 'Improving Retrieval Augmented Language Model with Self-Reasoning' discusses advancements in language models by incorporating self-reasoning for enhanced reliability and traceability. The proposed framework constructs self-reason trajectories through relevance and evidence-aware processes to improve performance against large language models like GPT-4.

• Submitted on 29 Jul 2024.
• Authors include Yuan Xia, Jingbo Zhou.
• Discusses Retrieval-Augmented Language Models.
• Aims to improve reliability and traceability.
• Outperforms state-of-art models.