At Vectara, we call this concept “Grounded Generation,” but it’s also commonly known as “Retrieval Augmented Generation” (RAG) in academic literature. This has been shown in a number of studies to reduce the rates of hallucinations in LLMs (Benchmarking Large Language Models in Retrieval...
‘Hallucinations’ are a critical problem9for natural language generation systems using large language models (LLMs), such as ChatGPT1or Gemini2, because users cannot trust that any given output is correct. Hallucinations are often defined as LLMs generating “content that is nonsensical or unfai...
Large language model (LLM) systems, such as ChatGPTor Gemini, can show impressive reasoning and question-answering capabilities but often 'hallucinate' false outputs and unsubstantiated answers. Answering unreliably or without the necessary information prevents adoption in diverse fields, with problems ...
Large language model (LLM) systems, such as ChatGPTor Gemini, can show impressive reasoning and question-answering capabilities but often 'hallucinate' false outputs and unsubstantiated answers. Answering unreliably or without the necessary information prevents adoption in diverse fields, with problems in...
Models See Hallucinations: Evaluating the Factuality in Video Captioning Hui Liu, Xiaojun Wan 2023 FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization David Wan, Mohit Bansal 2022 Evaluating the Factual Consistency of Large Langu...
RefChecker provides a standardized assessment framework to identify subtle hallucinations present in the outputs of large language models (LLMs). Figure: RefChecker Framework 🌟 Highlighted Features Finer granularity- RefChecker breakdowns the claims in the LLM’s response intoknowledge triplets, as opp...
RefChecker provides a standardized assessment framework to identify subtle hallucinations present in the outputs of large language models (LLMs). Figure: RefChecker Framework 🌟 Highlighted Features Finer granularity- RefChecker breakdowns the claims in the LLM’s response intoknowledge triplets, as opp...
large language models; geoeducation; geoscientific communication; Glacial Greater Poland geopark Graphical Abstract1. Introduction The description of geological heritage is essential for the development of geotourism [1,2], facilitates the effective management and conservation of geological heritage [3,4],...
hallucinations, and the assessment of model biases through semantic adversarial perturbations. In a novel approach, pretrained language models were used to interpret the features learned by image classifiers [21]. By connecting the feature space of image classifiers with language models, the system ...