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Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
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ThoughtSource: A central hub for large language model reasoning data.

Simon Ott1, Konstantin Hebenstreit1, Valentin Liévin2

  • 1Institute of Artificial Intelligence, Medical University of Vienna, Vienna, Austria.

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|August 8, 2023
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Summary
This summary is machine-generated.

ThoughtSource is a new dataset and library to improve artificial intelligence (AI) reasoning. It helps AI models verbalize thinking steps, addressing limitations like factual errors and biases in large language models (LLMs).

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Area of Science:

  • Artificial Intelligence
  • Natural Language Processing
  • Machine Learning

Background:

  • Large language models (LLMs) show strong performance but struggle with complex reasoning, transparency, factual accuracy, and bias.
  • Chain-of-thought (CoT) prompting, where models verbalize reasoning steps, is a proposed solution to these LLM limitations.

Purpose of the Study:

  • Introduce ThoughtSource, a comprehensive meta-dataset and software library for CoT reasoning.
  • Facilitate qualitative understanding, empirical evaluation, and provide training data for CoT.
  • Advance the development of more capable and reliable artificial intelligence systems.

Main Methods:

  • Developed ThoughtSource, a meta-dataset integrating diverse question-answering datasets.
  • Included datasets span scientific/medical, general domains, and mathematical word problems.
  • Provided a software library to support the use and analysis of CoT data.

Main Results:

  • The initial release of ThoughtSource comprises 15 datasets (7 scientific/medical, 3 general, 5 math).
  • Establishes a foundational resource for studying and enhancing CoT reasoning in AI.

Conclusions:

  • ThoughtSource aims to accelerate progress in AI reasoning by providing standardized data and tools.
  • Enables researchers to better understand and improve the reasoning capabilities of LLMs.