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Attributed Question Answering (AQA) has attracted wide attention, but there are still several limitations in evaluating the attributions, including lacking fine-grained attribution categories, relying on manual annotations, and failing to compare attributions with only subtle differences.
Freebase: a collaboratively created graph database for structuring human knowledge
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Language models are few-shot learners
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Internet-augmented dialogue generation
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Attributed question answering: Evaluation and modeling for attributed large language models
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TRUE: Re-evaluating factual consistency evaluation
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Few-shot learning with retrieval augmented language models
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Knowledge graph question answering datasets and their generalizability: Are they enough for future research?
Longquan Jiang and Ricardo Usbeck · 2022
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Teaching language models to support answers with verified quotes
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Expertqa: Expert-curated questions and attributed answers
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Augmented language models: a survey
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Evaluating and modeling attribution for cross-lingual question answering
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Gpt-4 technical report, 2023
OpenAI · 2023
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Measuring attribution in natural language generation models
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Towards verifiable generation: A benchmark for knowledge-aware language model attribution
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Neural graph reasoning: Complex logical query answering meets graph databases
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Large libel models? liability for ai output
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Automatic evaluation of attribution by large language models
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