Sources
AIwireSpotting AI Hallucinations: MIT’s SymGen Speeds Up LLM Output Validation "Imagine if your LLM could behave like a scholar meticulously citing sources. A new validation tool created at MIT aims to do just that . . ." https://t.co/NcNkcsVmET https://t.co/Bs4JFgU0ef
AIPressRoomTackling Hallucination in Large Language Models: A Survey of Cutting-Edge Techniques Large language models (LLMs) like GP... https://t.co/xp8Vj537Mx https://t.co/zsAoojre3B
SumitLLMs can be Fooled into Labelling a Document as Relevant Examines the use of LLMs for labeling text relevance, finding that while some LLMs align well with human judgments, they are prone to false positives. 📝https://t.co/9otpxmuux4 https://t.co/4WcFQKX7VI
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