Potential Additions

[coree]

Welcome to the Potential Additions discussion!
Everyone is encouraged to suggest new entries. Please format your suggestions using Markdown like this:
- [ ] `[Category]` Your Suggestion
where Category should be either Paper, Tool, Resource, or Collection. The checkbox will help us track whether an addition has been included.

[coree]

• [Paper] Hsia, Jennifer, et al. "RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems." arXiv preprint arXiv:2403.09040 (2024).

[coree]

• [Paper] Liu, Yanming, et al. "Ra-isf: Learning to answer and understand from retrieval augmentation via iterative self-feedback." arXiv preprint arXiv:2403.06840 (2024).

[coree]

• [Resource] DeepLearning.AI course Knowledge Graphs for RAG

[coree]

• [Resource] Blog post on PromptingGuide.AI on RAG for LLMs

[coree]

• [Paper] Xu, Shicheng, et al. "Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation." arXiv preprint arXiv:2402.18150 (2024).

[jmulal]

• [Paper]Asai, A., Zhong, Z., Chen, D., Koh, P.W., Zettlemoyer, L., Hajishirzi, H. and Yih, W.T., 2024. Reliable, Adaptable, and Attributable Language Models with Retrieval. arXiv:2403.03187.

[coree]

• [Tool] Cohere Command-R for production ready RAG

[coree]

• [Paper] Liao, Huanxuan et al. “Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models.” (2024)

[VityaVitalich]

• [Paper] Moskvoretskii, Viktor, et al. "Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home." arXiv preprint arXiv:2501.12835 (2025).

[jeffreyflynt]

[Tool] Synthetic corporate dataset generator for AI agent evaluation. OrgForge