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Georgi Nenkov Georgiev

2 accepted papers

2024

Factuality of Large Language Models: A Survey

EMNLP 2024main

Large language models (LLMs), especially when instruction-tuned for chat, have become part of our daily lives, freeing people from the process of searching, extracting, and integrating information from multiple sources by offering a straightforward answer to a variety of questions in a single place.…

Cited by 10SourcePDFScholar
2024

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs

EMNLP 2024system demonstrations

The increased use of large language models (LLMs) across a variety of real-world applications calls for automatic tools to check the factual accuracy of their outputs, as LLMs often hallucinate. This is difficult as it requires assessing the factuality of free-form open-domain responses. While there…