# subagent/

Subagent orchestration papers -- multi-agent, debate, decomposition patterns.

## Papers

| File                                                                                                                                           | What                                                   | arXiv                            |
| ---------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------ | -------------------------------- |
| `2023-01-30 Complexity-Based Prompting for Multi-Step Reasoning.pdf`                                                                           | Complexity-based sample selection for self-consistency | https://arxiv.org/abs/2210.00720 |
| `2023-08-24 Answering Questions by Meta-Reasoning over Multiple Chains of Thought.pdf`                                                         | Meta-reasoning over multiple CoT paths                 | https://arxiv.org/abs/2304.13007 |
| `2023-10-10 Reflexion - Language Agents with Verbal Reinforcement Learning.pdf`                                                                | Verbal self-reflection for agent learning              | https://arxiv.org/abs/2303.11366 |
| `2023-12-03 Tree of Thoughts - Deliberate Problem Solving with Large Language Models.pdf`                                                      | Tree-structured deliberate reasoning                   | https://arxiv.org/abs/2305.10601 |
| `2024-03-02 Skeleton-of-Thought - Prompting LLMs for Efficient Parallel Generation.pdf`                                                        | Parallel generation via skeleton decomposition         | https://arxiv.org/abs/2307.15337 |
| `2024-04-02 LM2 - A Simple Society of Language Models Solves Complex Reasoning.pdf`                                                            | Multi-LM society for complex reasoning                 | https://arxiv.org/abs/2404.02255 |
| `2024-04-16 Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.pdf`                                                    | Progressive decomposition prompting                    | https://arxiv.org/abs/2205.10625 |
| `2024-06-06 Self-Contrast - Better Reflection Through Inconsistent Solving Perspectives.pdf`                                                   | Reflection via contrasting perspectives                | https://arxiv.org/abs/2401.02009 |
| `2024-06-20 Devil's Advocate - Anticipatory Reflection for LLM Agents.pdf`                                                                     | Anticipatory critique for agent decisions              | https://arxiv.org/abs/2405.16334 |
| `2024-07-02 Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency.pdf`                                          | Multi-perspective self-consistency for code            | https://arxiv.org/abs/2309.17272 |
| `2024-10-16 Let's Argue Both Sides - Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities.pdf` | Dual-argument generation for reasoning                 | https://arxiv.org/abs/2410.12997 |
| `2024-11-01 Multi-expert Prompting Improves Reliability Safety and Usefulness of Large Language Models.pdf`                                    | Multi-expert simulation for robustness                 | https://arxiv.org/abs/2411.00492 |
| `2024-11-02 SWE-agent - Agent-Computer Interfaces Enable Automated Software Engineering.pdf`                                                   | Agent-computer interface for SWE tasks                 | https://arxiv.org/abs/2405.15793 |
| `2025-01-10 Human-In-the-Loop Software Development Agents.pdf`                                                                                 | HITL patterns for dev agents                           | https://arxiv.org/abs/2411.12924 |
| `2025-05-27 When Two LLMs Debate Both Think They'll Win.pdf`                                                                                   | LLM debate dynamics and calibration                    | https://arxiv.org/abs/2505.19184 |
