LLM self-reports predict behavior selectively: TPB reaches human-level coherence within shared conversations but collapses across sessions for primed behaviors, unlike Big 5, with persona prompting stabilizing reports but not actions.
Leiva, and Ioannis Arapakis
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
PaperFlow proposes a Profiling-Recommending-Adapting framework for longitudinal scientific paper recommendation and evaluates it on a new user-day benchmark with 24 simulated users, outperforming five baselines in ranking, behavioral alignment, and blind human evaluation.
AllSERP enriches the AdSERP corpus with per-element bounding boxes, thirteen semantic types, typed gap-filling, and 91.7% click attribution while shipping the full pipeline and viewer for reproducibility.
citing papers explorer
-
Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior
LLM self-reports predict behavior selectively: TPB reaches human-level coherence within shared conversations but collapses across sessions for primed behaviors, unlike Big 5, with persona prompting stabilizing reports but not actions.
-
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
PaperFlow proposes a Profiling-Recommending-Adapting framework for longitudinal scientific paper recommendation and evaluates it on a new user-day benchmark with 24 simulated users, outperforming five baselines in ranking, behavioral alignment, and blind human evaluation.
-
AllSERP: Exhaustive Per-Element Enrichment of the Versatile AdSERP Dataset
AllSERP enriches the AdSERP corpus with per-element bounding boxes, thirteen semantic types, typed gap-filling, and 91.7% click attribution while shipping the full pipeline and viewer for reproducibility.