SPAGBias reveals that LLMs form nuanced gender associations with specific urban micro-spaces that exceed real-world distributions and produce failures in planning and descriptive tasks.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4verdicts
UNVERDICTED 4representative citing papers
A new dataset DDEP and reliability-weighted fusion model Rel-DDEP jointly detect deception, emotion, and personality from multimodal data, reporting F1 gains of 2.53%, 2.66%, and 9.30% over baselines.
LLM reasoning refines unsupervised text clusters via coherence checks, redundancy removal, and label grounding, yielding better coherence and human-aligned labels on social media data.
LLMs reproduce several directional effects from a human accuracy perception experiment but show inconsistent effect magnitudes and moderation patterns across models.
citing papers explorer
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SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models
SPAGBias reveals that LLMs form nuanced gender associations with specific urban micro-spaces that exceed real-world distributions and produce failures in planning and descriptive tasks.
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Dynamic Emotion and Personality Profiling for Multimodal Deception Detection
A new dataset DDEP and reliability-weighted fusion model Rel-DDEP jointly detect deception, emotion, and personality from multimodal data, reporting F1 gains of 2.53%, 2.66%, and 9.30% over baselines.
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Reasoning-Based Refinement of Unsupervised Text Clusters with LLMs
LLM reasoning refines unsupervised text clusters via coherence checks, redundancy removal, and label grounding, yielding better coherence and human-aligned labels on social media data.
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Evaluating LLMs as Human Surrogates in Controlled Experiments
LLMs reproduce several directional effects from a human accuracy perception experiment but show inconsistent effect magnitudes and moderation patterns across models.