Pre-pretraining on MP-STRUCT matches k-Shuffle Dyck baselines in efficiency while adding human-like resistance to implausible languages and challenges the need for C-RASP definability in effective PPT languages.
hub
Social Networks and the Labor Market , booktitle =
15 Pith papers cite this work. Polarity classification is still indexing.
15
Pith papers citing it
hub tools
citation-role summary
background 1
method 1
citation-polarity summary
representative citing papers
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 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.
HELM establishes a multi-metric evaluation covering 30 language models on 42 scenarios (16 core) to raise average scenario coverage from 17.9% to 96% under uniform conditions while releasing all prompts, completions, and a toolkit.
NarrativeTime is a timeline annotation framework achieving full TLink coverage, shown via re-annotation of TimeBankDense with comparable agreement and higher density plus a new TimeBankNT corpus.
Varying the number of simultaneous parses in RNNGs increases predicted garden-path effects but does not fully reconcile LM surprisal with human reading times.
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.
Extends Ramsey's elicitation of subjective probabilities to risk-weighted expected utility maximizers by first deriving a measurement of risk attitudes from preferences.
Historical overview of Maxwell's Demon and Second Law challenges, proposing Heisenberg Uncertainty Principle as decisive defeat of the Demon and alternative basis for Landauer's Principle.
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
-
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.