This repository serves as a curated paper list for the research paper "Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents." It provides a comprehensive overview of advancements in Chain-of-Thought (CoT) reasoning and its application in developing sophisticated language agents, targeting researchers and practitioners in Natural Language Processing (NLP) and Artificial Intelligence (AI).

How It Works

The repository categorizes papers based on the evolution and application of CoT reasoning. It covers foundational prompting techniques, various CoT formulation paradigms (e.g., Tree-of-Thoughts, Graph-of-Thought), reasoning aggregation, verification methods, and diverse applications across classic NLP tasks, scientific domains, and agent development. The structure facilitates understanding the progression from basic CoT prompting to complex agent architectures.

Quick Start & Requirements

This repository is a static list of papers and does not require installation or execution. It links to the primary research paper and associated code repositories where available.

Highlighted Details

• Comprehensive categorization of CoT research, from prompting to agent applications.
• Includes seminal papers and recent advancements in CoT reasoning paradigms.
• Covers CoT applications in specialized fields like science and multimodal reasoning.
• Features a dedicated section on CoT for agent development, including communicative and autonomous agents.

Maintenance & Community

The repository is associated with the paper "Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents" by Zhang et al. (2023). Further community engagement or maintenance details are not specified in the README.

Licensing & Compatibility

The repository itself contains no code and is likely under a permissive license (e.g., MIT, Apache 2.0) for the paper list content. Individual linked papers and code repositories will have their own licenses.

Limitations & Caveats

This repository is a curated list of papers and does not provide executable code or implementations of the discussed techniques. It is a reference guide rather than a functional library.