# agentic/

Agentic reasoning papers -- self-consistency, tree search, active learning, and planning patterns.

## Papers

| File                                                                                                                                     | What                                       | arXiv                            |
| ---------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ | -------------------------------- |
| `2022-07-02 Rationale-Augmented Ensembles in Language Models.pdf`                                                                        | Rationale-based ensemble methods           | https://arxiv.org/abs/2207.00747 |
| `2023-03-07 Self-Consistency Improves Chain of Thought Reasoning in Language Models.pdf`                                                 | Self-consistency sampling for CoT          | https://arxiv.org/abs/2203.11171 |
| `2023-11-29 Universal Self-Consistency for Large Language Model Generation.pdf`                                                          | Universal self-consistency for generation  | https://arxiv.org/abs/2311.17311 |
| `2023-12-03 Tree of Thoughts- Deliberate Problem Solving with Large Language Models.pdf`                                                 | Tree-structured deliberate reasoning       | https://arxiv.org/abs/2305.10601 |
| `2024-02-04 REFINER - Reasoning Feedback on Intermediate Representations.pdf`                                                            | Feedback on intermediate reasoning steps   | https://arxiv.org/abs/2304.01904 |
| `2024-07-21 Active Prompting with Chain-of-Thought for Large Language Models.pdf`                                                        | Active example selection for CoT           | https://arxiv.org/abs/2302.12246 |
| `2024-08-08 Describe Explain Plan and Select - Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.pdf` | Interactive planning for multi-task agents | https://arxiv.org/abs/2302.01560 |
