Jun 19, 2024 · We first propose a novel outline-enhanced generator to achieve clear logic in the generation of multifaceted answers and construct two datasets accordingly.
Aug 24, 2024 · The video introduces our research "FoRAG," an advancement in Retrieval Augmented Generation (RAG) for web-enhanced long-form question answering, ...
Jun 20, 2024 · In web-enhanced LFQA, the sparsity problem is even exaggerated, as the answers are in long form. Report issue for preceding element. Besides the ...
Aug 29, 2024 · ABSTRACT. Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search.
Jun 19, 2024 · Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search engine to ...
Aug 28, 2024 · We developed a model that concerns, in part, how long a scatterhoarder should persist in caching food from an ephemeral, locally abundant source ...
Jun 20, 2024 · Overview · This paper presents FoRAG, a Factuality-optimized Retrieval Augmented Generation model for web-enhanced long-form question answering.
Jul 1, 2024 · Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search engine to ...
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Retrieval Augmented Generation (RAG) has become prevalent in question-answering (QA) tasks due to its ability of utilizing search engine to enhance the quality ...
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