On the Diagram of Thought
17 ott 2024 ·
8 min. 37 sec.
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Descrizione
🧠On the Diagram of Thought This paper introduces a new framework called Diagram of Thought (DoT) that models how large language models (LLMs) reason. Unlike traditional methods that represent...
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🧠On the Diagram of Thought
This paper introduces a new framework called Diagram of Thought (DoT) that models how large language models (LLMs) reason. Unlike traditional methods that represent reasoning as linear chains or trees, DoT utilizes a directed acyclic graph (DAG) structure. This structure allows LLMs to navigate complex reasoning pathways while ensuring logical consistency. By incorporating feedback mechanisms and leveraging auto-regressive next-token prediction, DoT enables LLMs to iteratively refine their reasoning process. The authors also formalize the DoT framework using Topos Theory, providing a mathematical foundation for its logical consistency and soundness. This approach enhances both training and inference within a single LLM, eliminating the need for multiple models or external control mechanisms. DoT offers a promising framework for developing next-generation reasoning-specialized LLMs.
📎 Link to paper
mostra meno
This paper introduces a new framework called Diagram of Thought (DoT) that models how large language models (LLMs) reason. Unlike traditional methods that represent reasoning as linear chains or trees, DoT utilizes a directed acyclic graph (DAG) structure. This structure allows LLMs to navigate complex reasoning pathways while ensuring logical consistency. By incorporating feedback mechanisms and leveraging auto-regressive next-token prediction, DoT enables LLMs to iteratively refine their reasoning process. The authors also formalize the DoT framework using Topos Theory, providing a mathematical foundation for its logical consistency and soundness. This approach enhances both training and inference within a single LLM, eliminating the need for multiple models or external control mechanisms. DoT offers a promising framework for developing next-generation reasoning-specialized LLMs.
📎 Link to paper
Informazioni
Autore | Shahriar Shariati |
Organizzazione | Shahriar Shariati |
Sito | - |
Tag |
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