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FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation

6 months ago

Natural Language Processing

Retrieval-Augmented Generation

Method/Architecture

Natural Language Processing

Summary Paper Benchmarks Resources

No PDF Available

Could not find a PDF for this paper. The paper link format is not supported.

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HyperAI

Main

GPU

Console
Docs
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News

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Notebooks
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SOTA
LLM Models
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Utility

About Terms of Service Privacy Policy
English

Command Palette

Search for a command to run...

HyperAI
Papers
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation

6 months ago

Natural Language Processing

Retrieval-Augmented Generation

Method/Architecture

Natural Language Processing

Summary Paper Benchmarks Resources

No PDF Available

Could not find a PDF for this paper. The paper link format is not supported.

Build the Future of Artificial Intelligence

About

About Us Dataset Help

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© HyperAI

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Paper - FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation | Papers | HyperAI