Add to ORKGAutomatic fact-checking plays a crucial role in combating the spread of misinformation. Large Language Models (LLMs) and Instruction-Following variants, such as InstructGPT and Alpaca, have shown remarkable performance in various natural language processing tasks. However, their knowledge may not always be up-to-date or sufficient, potentially leading to inaccuracies in fact-checking. To address this limitation, we propose combining the power of instruction-following language models with external evidence retrieval to enhance fact-checking performance. Our approach involves leveraging search engines to retrieve relevant evidence for a given input claim. This external evidence serves as valuable supplementary information to augment the knowl...
Retrieval-augmented generation models have shown state-of-the-art performance across many knowledge-...
The emergence of social media has aided the spread of nonfactual information across the internet, an...
Fact checking can be an effective strategy against misinformation, but its implementation at scale i...
The fluency and creativity of large pre-trained language models (LLMs) have led to their widespread ...
In today's digital era, the rapid spread of misinformation poses threats to public well-being and so...
Fact-checking has become increasingly important due to the speed with which both information and mis...
In the past couple of years, there has been a significant increase of the amount of false informatio...
Recent Language Models (LMs) have shown impressive capabilities in generating texts with the knowled...
Large Language Models (LLMs) are increasingly used for accessing information on the web. Their truth...
Prior research has shown that typical fact-checking models for stand-alone claims struggle with clai...
Automated fact-checking, using machine learning to verify claims, has grown vital as misinformation ...
The recently increased focus on misinformation has stimulated research in fact checking, the task of...
Automated fact checking is a task in the domain of Natural Language Processing that deals with the v...
As online false information continues to grow, automated fact-checking has gained an increasing amou...
Many approaches exist for analysing fact checking for fake news identification, which is the focus o...
Retrieval-augmented generation models have shown state-of-the-art performance across many knowledge-...
The emergence of social media has aided the spread of nonfactual information across the internet, an...
Fact checking can be an effective strategy against misinformation, but its implementation at scale i...
The fluency and creativity of large pre-trained language models (LLMs) have led to their widespread ...
In today's digital era, the rapid spread of misinformation poses threats to public well-being and so...
Fact-checking has become increasingly important due to the speed with which both information and mis...
In the past couple of years, there has been a significant increase of the amount of false informatio...
Recent Language Models (LMs) have shown impressive capabilities in generating texts with the knowled...
Large Language Models (LLMs) are increasingly used for accessing information on the web. Their truth...
Prior research has shown that typical fact-checking models for stand-alone claims struggle with clai...
Automated fact-checking, using machine learning to verify claims, has grown vital as misinformation ...
The recently increased focus on misinformation has stimulated research in fact checking, the task of...
Automated fact checking is a task in the domain of Natural Language Processing that deals with the v...
As online false information continues to grow, automated fact-checking has gained an increasing amou...
Many approaches exist for analysing fact checking for fake news identification, which is the focus o...
Retrieval-augmented generation models have shown state-of-the-art performance across many knowledge-...
The emergence of social media has aided the spread of nonfactual information across the internet, an...
Fact checking can be an effective strategy against misinformation, but its implementation at scale i...