Incorporating think-aloud traces with behavioral data in LLM-driven model discovery for risky choice yields higher held-out predictive accuracy and shifts most participants' best models from explicit-comparator to integrated-utility structures.
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4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4verdicts
UNVERDICTED 4representative citing papers
Audit of ChatGPT, Copilot, Gemini and Perplexity finds ~16% of cited sources are AI-generated across 712 queries on politics, health and environment.
Embeddings reliably capture authorial stylistic features in French literary texts, and these signals persist after LLM rewriting while showing model-specific patterns.
HARDAT applies HDBSCAN clustering with differential-rotation tracking and SVM-based polarity inversion line extraction to magnetograms, claiming superior sensitivity, accuracy and identity continuity over DBSCAN-based DSARD and NOAA catalogs.
citing papers explorer
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Think-Aloud Reshapes Automated Cognitive Model Discovery Beyond Behavior
Incorporating think-aloud traces with behavioral data in LLM-driven model discovery for risky choice yields higher held-out predictive accuracy and shifts most participants' best models from explicit-comparator to integrated-utility structures.
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Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources
Audit of ChatGPT, Copilot, Gemini and Perplexity finds ~16% of cited sources are AI-generated across 712 queries on politics, health and environment.
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Measuring Embedding Sensitivity to Authorial Style in French: Comparing Literary Texts with Language Model Rewritings
Embeddings reliably capture authorial stylistic features in French literary texts, and these signals persist after LLM rewriting while showing model-specific patterns.
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An Improved HDBSCAN-based Detection and Tracking Method for Solar Active Regions in Magnetograms
HARDAT applies HDBSCAN clustering with differential-rotation tracking and SVM-based polarity inversion line extraction to magnetograms, claiming superior sensitivity, accuracy and identity continuity over DBSCAN-based DSARD and NOAA catalogs.