Appendix C — References
Academic
- Cormack, G. V., Clarke, C. L. A., & Büttcher, S. (2009). Reciprocal Rank Fusion outperforms Condorcet and individual rank learning methods. SIGIR ‘09.
- Liu, N. F., et al. (2023). Lost in the Middle: How Language Models Use Long Contexts. arXiv:2307.03172.
- Lewis, P., et al. (2020). Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020.
- Karpukhin, V., et al. (2020). Dense Passage Retrieval for Open-Domain Question Answering. EMNLP 2020.
- Malkov, Y. A., & Yashunin, D. A. (2018). Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs. IEEE TPAMI.
- Robertson, S., & Zaragoza, H. (2009). The Probabilistic Relevance Framework: BM25 and Beyond. FnTIR.
- Bowman, S. R., et al. (2015). A large annotated corpus for learning natural language inference (SNLI). EMNLP 2015.
- He, P., et al. (2023). DeBERTaV3. ICLR 2023.
Standards
Open Source
Vendor Documentation
Regulatory
Sister Whitepapers
Further Reading