Copertina

Likelihood scoring for continuations of mathematical text: a self-supervised benchmark with tests for shortcut vulnerabilities

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Ranard, Daniel
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cropping outperforms dropout as an augmentation strategy for self-supervised training of text embeddings
di: González-Márquez, Rita, et al.
Pubblicazione: (2025)

BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
di: Lavechin, Marvin, et al.
Pubblicazione: (2023)

A theoretical framework for self-supervised contrastive learning for continuous dependent data
di: Marusov, Alexander, et al.
Pubblicazione: (2025)

eyeballvul: a future-proof benchmark for vulnerability detection in the wild
di: Chauvin, Timothee
Pubblicazione: (2024)

Do regularization methods for shortcut mitigation work as intended?
di: Hong, Haoyang, et al.
Pubblicazione: (2025)

RobocupGym: A challenging continuous control benchmark in Robocup
di: Beukman, Michael, et al.
Pubblicazione: (2024)

Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance
di: Chan, Carri W., et al.
Pubblicazione: (2026)

Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
di: Flet-Berliac, Yannis, et al.
Pubblicazione: (2024)

AlleNoise: large-scale text classification benchmark dataset with real-world label noise
di: Rączkowska, Alicja, et al.
Pubblicazione: (2024)

Noise-robust zero-shot text-to-speech synthesis conditioned on self-supervised speech-representation model with adapters
di: Fujita, Kenichi, et al.
Pubblicazione: (2024)

Distributionally robust self-supervised learning for tabular data
di: Ghosh, Shantanu, et al.
Pubblicazione: (2024)

Inpainting physics: self-supervised learning for context-driven fluid simulation
di: Weidner, Jonas, et al.
Pubblicazione: (2026)

Semiparametric KSD test: unifying score and distance-based approaches for goodness-of-fit testing
di: Huang, Zhihan, et al.
Pubblicazione: (2025)

Understanding the limitations of self-supervised learning for tabular anomaly detection
di: Mai, Kimberly T., et al.
Pubblicazione: (2023)

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
di: Persiianov, Mikhail, et al.
Pubblicazione: (2024)

Dynamic programming by polymorphic semiring algebraic shortcut fusion
di: Little, Max A., et al.
Pubblicazione: (2021)

On the social bias of speech self-supervised models
di: Lin, Yi-Cheng, et al.
Pubblicazione: (2024)

Information theoretic underpinning of self-supervised learning by clustering
di: Kittler, Josef, et al.
Pubblicazione: (2026)

RetrySQL: text-to-SQL training with retry data for self-correcting query generation
di: Rączkowska, Alicja, et al.
Pubblicazione: (2025)

Math Takes Two: A test for emergent mathematical reasoning in communication
di: Cooper, Michael, et al.
Pubblicazione: (2026)

Systematic comparison of semi-supervised and self-supervised learning for medical image classification
di: Huang, Zhe, et al.
Pubblicazione: (2023)

Joint Embedding Predictive Architecture for self-supervised pretraining on polymer molecular graphs
di: Piccoli, Francesco, et al.
Pubblicazione: (2025)

There is more to graphs than meets the eye: Learning universal features with self-supervision
di: Das, Laya, et al.
Pubblicazione: (2023)

Graph self-supervised learning based on frequency corruption
di: Li, Haojie, et al.
Pubblicazione: (2026)

Deployment-complete benchmarking
di: Mansouri, El Mustapha, et al.
Pubblicazione: (2026)

Visual concept ranking uncovers medical shortcuts used by large multimodal models
di: Janizek, Joseph D., et al.
Pubblicazione: (2026)

Probing self-attention in self-supervised speech models for cross-linguistic differences
di: Gopinath, Sai, et al.
Pubblicazione: (2024)

Normalizing self-supervised learning for provably reliable Change Point Detection
di: Bazarova, Alexandra, et al.
Pubblicazione: (2024)

Tempo estimation as fully self-supervised binary classification
di: Henkel, Florian, et al.
Pubblicazione: (2024)

Scalable Inference-Time Annealing with Surrogate Likelihood Estimators
di: Peñaherrera, Daniel, et al.
Pubblicazione: (2026)

Rethinking Test-time Likelihood: The Likelihood Path Principle and Its Application to OOD Detection
di: Huang, Sicong, et al.
Pubblicazione: (2024)

Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
di: Proctor, Timothy, et al.
Pubblicazione: (2025)

Competing for pixels: a self-play algorithm for weakly-supervised segmentation
di: Saeed, Shaheer U., et al.
Pubblicazione: (2024)

Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
di: Walchessen, Julia, et al.
Pubblicazione: (2023)

Spectral Self-supervised Feature Selection
di: Segal, Daniel, et al.
Pubblicazione: (2024)

Maximum Likelihood Reinforcement Learning
di: Tajwar, Fahim, et al.
Pubblicazione: (2026)

Momentum Particle Maximum Likelihood
di: Lim, Jen Ning, et al.
Pubblicazione: (2023)

Likelihood-Free Variational Autoencoders
di: Xu, Chen, et al.
Pubblicazione: (2025)

FRAPPE: $\underline{\text{F}}$ast $\underline{\text{Ra}}$nk $\underline{\text{App}}$roximation with $\underline{\text{E}}$xplainable Features for Tensors
di: Shiao, William, et al.
Pubblicazione: (2022)

Comparison of self-supervised in-domain and supervised out-domain transfer learning for bird species recognition
di: Ghaffari, Houtan, et al.
Pubblicazione: (2024)