Crowdsourced metaphors show rising anthropomorphism and warmth toward AI that predict trust and adoption, with notable demographic differences.
A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
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QAFD-RAG is a query-aware graph traversal framework for RAG that provides statistical guarantees on relevant subgraph recovery with exponential convergence.
A factorized study finds raw hidden states and attention features hard to beat in-domain for LLM uncertainty probes, but structured compressed features are more robust under distribution shift, with pretrained probes transferring to open-ended generation.
citing papers explorer
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From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors
Crowdsourced metaphors show rising anthropomorphism and warmth toward AI that predict trust and adoption, with notable demographic differences.
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Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
QAFD-RAG is a query-aware graph traversal framework for RAG that provides statistical guarantees on relevant subgraph recovery with exponential convergence.
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From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models
A factorized study finds raw hidden states and attention features hard to beat in-domain for LLM uncertainty probes, but structured compressed features are more robust under distribution shift, with pretrained probes transferring to open-ended generation.