Papers with hidden question representations

1 papers
FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models (2025.emnlp-main)

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Challenge: Existing non-factuality detection methods require response generation, which incurs significant computational overhead.
Approach: They propose a lightweight model called Factuality Lens which effectively probes hidden representations of fact-seeking questions for the NFP task.
Outcome: The proposed model is able to probe hidden representations of fact-seeking questions and reduce development costs.

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