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Sot DistilBERT

Developed by saytes
SoT_DistilBERT is a classification model fine-tuned based on DistilBERT, designed to select the optimal reasoning paradigm for a given query according to the Sketch-of-Thought (SoT) framework.
Downloads 20.95k
Release Time : 3/3/2025

Model Overview

This model serves as the paradigm selection component of the Sketch-of-Thought (SoT) framework, capable of automatically determining the most suitable of three reasoning paradigms for a problem: conceptual chaining, chunked symbols, or expert vocabulary.

Model Features

Efficient Reasoning Paradigm Selection
Automatically selects the most suitable reasoning paradigm for the current problem, optimizing the reasoning efficiency of language models.
Multi-Paradigm Support
Supports three different reasoning paradigms: conceptual chaining, chunked symbols, and expert vocabulary.
Lightweight Architecture
Implemented based on DistilBERT, reducing computational resource requirements while maintaining performance.

Model Capabilities

Problem Classification
Reasoning Paradigm Recommendation
Text Understanding

Use Cases

Educational Assistance
Mathematical Problem Solving
Identifies mathematical problems suitable for the chunked symbols paradigm.
Improves the efficiency and accuracy of mathematical problem-solving.
Knowledge Q&A
Multi-hop Reasoning Problems
Identifies complex problems requiring conceptual chaining reasoning.
Optimizes reasoning paths and reduces unnecessary intermediate steps.
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