# multi-turn/

Multi-turn prompt engineering papers -- iterative refinement, self-correction, verification patterns.

## Papers

| File                                                                                                                                     | What                                           | arXiv                            |
| ---------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------- | -------------------------------- |
| `2022-03-16 Multi-Stage Prompting for Knowledgeable Dialogue Generation.pdf`                                                             | Multi-stage knowledge-grounded dialogue        | https://arxiv.org/abs/2203.08745 |
| `2022-12-08 Successive Prompting for Decomposing Complex Questions.pdf`                                                                  | Successive decomposition for complex QA        | https://arxiv.org/abs/2212.04092 |
| `2023-02-01 Synthetic Prompting - Generating Chain-of-Thought Demonstrations for Large Language Models.pdf`                              | Auto-generating CoT demonstrations             | https://arxiv.org/abs/2302.00618 |
| `2023-03-16 Prompting Large Language Models With the Socratic Method.pdf`                                                                | Socratic questioning for reasoning             | https://arxiv.org/abs/2303.08769 |
| `2023-05-06 Refining the Responses of LLMs by Themselves.pdf`                                                                            | Self-refinement without external feedback      | https://arxiv.org/abs/2305.04039 |
| `2023-05-25 Self-Refine - Iterative Refinement with Self-Feedback.pdf`                                                                   | Iterative self-feedback refinement             | https://arxiv.org/abs/2303.17651 |
| `2023-09-22 Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.pdf`                                     | Self-explanation for dialogue comprehension    | https://arxiv.org/abs/2309.12940 |
| `2023-09-25 Chain-of-Verification Reduces Hallucination in Large Language Models.pdf`                                                    | Verification chain for hallucination reduction | https://arxiv.org/abs/2309.11495 |
| `2023-10-16 Factored Verification - Detecting and Reducing Hallucinations in Summaries of Academic Papers.pdf`                           | Factored verification for summary accuracy     | https://arxiv.org/abs/2310.10627 |
| `2023-11-20 System 2 Attention - Is Something You Might Need Too.pdf`                                                                    | Regenerate context to remove bias              | https://arxiv.org/abs/2311.11829 |
| `2024-02-24 CRITIC - Large Language Models Can Self-Correct with Tool-Interactive Critiquing.pdf`                                        | Tool-interactive self-correction               | https://arxiv.org/abs/2305.11738 |
| `2024-03-14 Large Language Models Cannot Self-Correct Reasoning Yet.pdf`                                                                 | Analysis of self-correction limitations        | https://arxiv.org/abs/2310.01798 |
| `2024-03-27 Look Before You Leap - Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models.pdf`           | Problem elaboration before solving             | https://arxiv.org/abs/2402.15764 |
| `2024-04-08 ADAPT - As-Needed Decomposition and Planning with Language Models.pdf`                                                       | Adaptive decomposition and planning            | https://arxiv.org/abs/2311.05772 |
| `2024-04-11 Decomposed Prompting - A Modular Approach for Solving Complex Tasks.pdf`                                                     | Modular sub-task decomposition                 | https://arxiv.org/abs/2210.02406 |
| `2024-05-23 Reprompting - Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling.pdf`                                        | Gibbs sampling for CoT optimization            | https://arxiv.org/abs/2305.09993 |
| `2024-06-01 Prompt Chaining or Stepwise Prompt - Refinement in Text Summarization.pdf`                                                   | Prompt chaining vs stepwise refinement         | https://arxiv.org/abs/2406.00507 |
| `2024-06-17 Thought Propagation - An Analogical Approach to Complex Reasoning with Large Language Models.pdf`                            | Analogical reasoning via thought propagation   | https://arxiv.org/abs/2310.03965 |
| `2024-06-24 Mirror - A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning.pdf`                                     | Multi-perspective self-reflection              | https://arxiv.org/abs/2402.14963 |
| `2024-10-01 Iteration of Thought - Leveraging Inner Dialogue for Autonomous Large Language Model Reasoning.pdf`                          | Inner dialogue for autonomous reasoning        | https://arxiv.org/abs/2409.12618 |
| `2024-10-07 Progressive-Hint Prompting Improves Reasoning in Large Language Models.pdf`                                                  | Progressive hints for iterative improvement    | https://arxiv.org/abs/2304.09797 |
| `2024-10-17 Thnk Thrice Before You Act - Progressive Thought Refinement in Large Language Models.pdf`                                    | Progressive thought refinement                 | https://arxiv.org/abs/2410.13413 |
| `2024-11-30 Unlocking Structured Thinking in Language Models with Cognitive Prompting.pdf`                                               | Cognitive structure for reasoning              | https://arxiv.org/abs/2410.02953 |
| `2025-03-02 Instruct-of-Reflection - Enhancing Large Language Models Iterative Reflection Capabilities via Dynamic-Meta Instruction.pdf` | Dynamic meta-instruction for reflection        | https://arxiv.org/abs/2503.00902 |
| `2025-03-25 Think Twice- Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking.pdf`                                          | Multi-round test-time reasoning                | https://arxiv.org/abs/2503.19855 |
| `2025-04-10 Refining Answer Distributions for Improved Large Language Model Reasoning.pdf`                                               | Answer distribution refinement                 | https://arxiv.org/abs/2412.13292 |
| `2025-06-24 Meta Prompting for AI Systems.pdf`                                                                                           | Meta-level prompt orchestration                | https://arxiv.org/abs/2311.11482 |
| `2025-07-31 Table as Thought - Exploring Structured Thoughts in LLM Reasoning.pdf`                                                       | Tabular structure for reasoning                | https://arxiv.org/abs/2501.02152 |
| `2025-09-13 Another Turn Better Output - A Turn-Wise Analysis of Iterative LLM Prompting.pdf`                                            | Turn-wise analysis of iterative prompting      | https://arxiv.org/abs/2509.06770 |
| `2025-09-22 A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue.pdf`                                          | State-update strategy for multi-turn           | https://arxiv.org/abs/2509.17766 |
| `2025-11-15 Cumulative Reasoning with Large Language Models.pdf`                                                                         | Cumulative reasoning accumulation              | https://arxiv.org/abs/2308.04371 |
| `2025-12-26 Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedback.pdf`      | Prompt chaining with fine-grained feedback     | https://arxiv.org/abs/2502.13298 |
