From 2a9b683189da0b9df98add30e6c48b4043052218 Mon Sep 17 00:00:00 2001
From: Gregor Betz <3662782+ggbetz@users.noreply.github.com>
Date: Fri, 24 Nov 2023 09:48:50 +0100
Subject: [PATCH] Update README.md

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 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index c546084..8ea2109 100644
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@@ -35,7 +35,7 @@ _Striking evidence for effectiveness of deliberative prompting._
 Evaluating Foundation Models." 2023-04-13. [[>paper](https://arxiv.org/abs/2304.06364)]
 - 🎓 Deliberative prompting unlocks latent cognitive skills and is more effective for bigger models. "Challenging BIG-Bench tasks and whether chain-of-thought can solve them." 2022-10-17. [[>paper](https://arxiv.org/abs/2210.09261)]
 - 🎓 Experimentally introducing errors in CoT reasoning traces decreases decision accuracy, which provides indirect evidence for reason-responsiveness of LLMs. "Stress Testing Chain-of-Thought Prompting for Large Language Models." 2023-09-28. [[>paper](https://arxiv.org/abs/2309.16621)]
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+- 🎓 Reasoning (about retrieval candidates) improves RAG. "Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection." 2023-10-17. [[>paper](https://arxiv.org/abs/2310.11511)]
 
 ## Prompting Patterns and Strategies 
 
@@ -94,6 +94,7 @@ _Text generation techniques, which can be combined with prompting patterns and s
 
 _Let LLMs self-correct their deliberation._
 
+- 🎓 Iteratively refining reasoning given diverse feedback increases accuaracy by up tp 10% (ChatGPT). "MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models." 2023-10-19. [[>paper](https://arxiv.org/abs/2310.12426)]
 - 🎓 Instructing a model just to "review" its answer and "find problems" doesn't lead to effective self-correction. "Large Language Models Cannot Self-Correct Reasoning Yet." 2023-09-25. [[>paper](https://arxiv.org/abs/2310.01798)]
 - 🎓 LLMs can come up with, and address critical questions to improve their drafts. "Chain-of-Verification Reduces Hallucination in Large Language Models." 2023-09-25. [[>paper](https://arxiv.org/abs/2309.11495)]
 - 🎓 LogiCoT: Self-check and revision after each CoT step improves performance (for selected tasks and models). "Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic." 2023-09-23. [[>paper](https://arxiv.org/abs/2309.13339)]