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Tag: disai-amplified

Multimodal Fact-Check Retrieval

In the two previous installments of our 3-part series, we covered how a text embedding model (TEM) can help fact-checkers to cut down on duplicate effort by retrieving existing fact-checks...

Fact-Check Retrieval Using Causal LLMs

In the first instalment of our 3-part series, we saw how a text embedding model can be used to retrieve existing fact-checks across different languages and help fact-checkers to cut...

Fact-Check Retrieval Using Text Embedding Models

In the age of viral misinformation, professional fact-checkers face a growing challenge: there is simply too much content to sift through, and misinformation is spreading faster than ever. In these...

Tag: disai-amplified

Multimodal Fact-Check Retrieval

In the two previous installments of our 3-part series, we covered how a text embedding model (TEM) can help fact-checkers to cut down on duplicate effort by retrieving existing fact-checks...

Fact-Check Retrieval Using Causal LLMs

In the first instalment of our 3-part series, we saw how a text embedding model can be used to retrieve existing fact-checks across different languages and help fact-checkers to cut...

Fact-Check Retrieval Using Text Embedding Models

In the age of viral misinformation, professional fact-checkers face a growing challenge: there is simply too much content to sift through, and misinformation is spreading faster than ever. In these...

Tag: disai-amplified

Multimodal Fact-Check Retrieval

In the two previous installments of our 3-part series, we covered how a text embedding model (TEM) can help fact-checkers to cut down on duplicate effort by retrieving existing fact-checks...

Fact-Check Retrieval Using Causal LLMs

In the first instalment of our 3-part series, we saw how a text embedding model can be used to retrieve existing fact-checks across different languages and help fact-checkers to cut...

Fact-Check Retrieval Using Text Embedding Models

In the age of viral misinformation, professional fact-checkers face a growing challenge: there is simply too much content to sift through, and misinformation is spreading faster than ever. In these...