Network structures of applicant-vacancy links determine matching function forms, with dispersion in search intensities reducing match efficacy and potentially making higher average search counterproductive.
Social Networks and the Labor Market , booktitle =
9 Pith papers cite this work. Polarity classification is still indexing.
9
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
years
2026 9roles
method 1polarities
use method 1representative citing papers
Joint exclusivity extends mutual exclusivity with a sharp existence condition sum of marginal survival functions at zero at most n-1, a canonical construction on lower-dimensional faces, and a link to joint mixability.
CAST benchmark shows language models infer correct word stress from discourse context but TTS systems frequently fail to produce it in speech.
A new benchmark for sequential multi-party negotiations from climate data shows no solver dominates and performance depends on game structure.
HHY functions as a coherent phonetic approximation system in which main transcriptions fit Chinese syllable structure while supplementary transcriptions capture incompatible features, rather than directly projecting Chinese phonology onto foreign languages.
A zero-shot visual world model trained on one child's experience achieves broad competence on physical understanding benchmarks while matching developmental behavioral patterns.
Survey of 400 practitioners identifies four failure archetypes for network segmentation projects, with uniform preference for general IT project management fixes over segmentation-specific ones.
Researchers rendered cognitive dissonance, self-consistency, and self-perception theories as generative simulations that reproduce classic experimental behavioral patterns after iterative manual stabilization.
DGMM is proposed as an explicit graph-structured memory architecture for AI that enables persistent episodic memory, cue-based recall, and context-dependent interpretation without retraining.
citing papers explorer
-
The Matching Function: A Unified Look into the Black Box
Network structures of applicant-vacancy links determine matching function forms, with dispersion in search intensities reducing match efficacy and potentially making higher average search counterproductive.
-
Joint Exclusivity
Joint exclusivity extends mutual exclusivity with a sharp existence condition sum of marginal survival functions at zero at most n-1, a canonical construction on lower-dimensional faces, and a link to joint mixability.
-
Knowing What to Stress: A Discourse-Conditioned Text-to-Speech Benchmark
CAST benchmark shows language models infer correct word stress from discourse context but TTS systems frequently fail to produce it in speech.
-
A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
A new benchmark for sequential multi-party negotiations from climate data shows no solver dominates and performance depends on game structure.
-
Cross-Linguistic Transcription and Phonological Representation in the Hu\`it\'onggu\v{a}nx\`i Hu\'ay\'iy\`iy\v{u}
HHY functions as a coherent phonetic approximation system in which main transcriptions fit Chinese syllable structure while supplementary transcriptions capture incompatible features, rather than directly projecting Chinese phonology onto foreign languages.
-
Zero-shot World Models Are Developmentally Efficient Learners
A zero-shot visual world model trained on one child's experience achieves broad competence on physical understanding benchmarks while matching developmental behavioral patterns.
-
Why Network Segmentation Projects Fail
Survey of 400 practitioners identifies four failure archetypes for network segmentation projects, with uniform preference for general IT project management fixes over segmentation-specific ones.
-
Stabilising Generative Models of Attitude Change
Researchers rendered cognitive dissonance, self-consistency, and self-perception theories as generative simulations that reproduce classic experimental behavioral patterns after iterative manual stabilization.
-
The Dynamic Gist-Based Memory Model (DGMM): A Memory-Centric Architecture for Artificial Intelligence
DGMM is proposed as an explicit graph-structured memory architecture for AI that enables persistent episodic memory, cue-based recall, and context-dependent interpretation without retraining.