AI literature search: retrieval augmented generation

Task Goal

Validate paper-search-pro on a cross-disciplinary literature discovery scenario.

输入

• Query: retrieval augmented generation large language models
• Discipline: Computer Science / AI
• Source: arXiv
• Limit: 10 records

Prompt / 命令

Run literature discovery with the arXiv source and retain raw JSON evidence.

输出结果

Output: ld-cs-rag

Search Result

• Query: retrieval augmented generation large language models
• Discipline: Computer Science / AI
• Source: arXiv
• Result count: 10

Top 5 Papers

1. Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models (2025)
   • Authors: Zahra Khalila, Arbi Haza Nasution, Winda Monika, Aytug Onan, Yohei Murakami, Yasir Bin Ismail Radi
   • Source: arXiv; ID: 2503.16581v1
2. Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation (2024)
   • Authors: Nurshat Fateh Ali, Md. Mahdi Mohtasim, Shakil Mosharrof, T. Gopi Krishna
   • Source: arXiv; ID: 2411.18583v1
3. AR-RAG: Autoregressive Retrieval Augmentation for Image Generation (2025)
   • Authors: Jingyuan Qi, Zhiyang Xu, Qifan Wang, Lifu Huang
   • Source: arXiv; ID: 2506.06962v3
4. FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented Generation (2025)
   • Authors: Mohammad Aghajani Asl, Majid Asgari-Bidhendi, Behrooz Minaei-Bidgoli
   • Source: arXiv; ID: 2510.22344v1
5. Intelligent Interaction Strategies for Context-Aware Cognitive Augmentation (2025)
   • Authors: Xiangrong, Zhu, Yuan Xu, Tianjian Liu, Jingwei Sun, Yu Zhang
   • Source: arXiv; ID: 2504.13684v1

Evidence Files

• Internal raw JSON: outputs/tasks/literature-discovery/ld-cs-rag/raw/arxiv_results.json
• Internal structured output: outputs/tasks/literature-discovery/ld-cs-rag/output.md

评审结论

PASS。 This task is part of the corrected public package covering Medicine, Physics, Chemistry, Biology, and Computer Science.