Buchumschlag

Scaling behavior of large language models in emotional safety classification across sizes and tasks

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Pinzuti, Edoardo, Tüscher, Oliver, Castro, André Ferreira
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Visually grounded emotion regulation via diffusion models and user-driven reappraisal
von: Pinzuti, Edoardo, et al.
Veröffentlicht: (2025)

A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification
von: Sushil, Madhumita, et al.
Veröffentlicht: (2024)

Learning diverse attacks on large language models for robust red-teaming and safety tuning
von: Lee, Seanie, et al.
Veröffentlicht: (2024)

Amortizing intractable inference in large language models
von: Hu, Edward J., et al.
Veröffentlicht: (2023)

Zero-shot data citation function classification using transformer-based large language models (LLMs)
von: Byers, Neil, et al.
Veröffentlicht: (2025)

Representation in large language models
von: Yetman, Cameron
Veröffentlicht: (2025)

Do different prompting methods yield a common task representation in language models?
von: Davidson, Guy, et al.
Veröffentlicht: (2025)

Prompt reinforcing for long-term planning of large language models
von: Lin, Hsien-Chin, et al.
Veröffentlicht: (2025)

AI-AI Bias: large language models favor communications generated by large language models
von: Laurito, Walter, et al.
Veröffentlicht: (2024)

Alignment faking in large language models
von: Greenblatt, Ryan, et al.
Veröffentlicht: (2024)

Zero-shot generation of synthetic neurosurgical data with large language models
von: Barr, Austin A., et al.
Veröffentlicht: (2025)

Only relative ranks matter in weight-clustered large language models
von: Aizpurua, Borja, et al.
Veröffentlicht: (2026)

Evaluating language models as risk scores
von: Cruz, André F., et al.
Veröffentlicht: (2024)

Transformers need glasses! Information over-squashing in language tasks
von: Barbero, Federico, et al.
Veröffentlicht: (2024)

Long-form factuality in large language models
von: Wei, Jerry, et al.
Veröffentlicht: (2024)

Can large language models explore in-context?
von: Krishnamurthy, Akshay, et al.
Veröffentlicht: (2024)

Quantifying perturbation impacts for large language models
von: Rauba, Paulius, et al.
Veröffentlicht: (2024)

B-score: Detecting biases in large language models using response history
von: Vo, An, et al.
Veröffentlicht: (2025)

Leveraging large language models for structured information extraction from pathology reports
von: Balasubramanian, Jeya Balaji, et al.
Veröffentlicht: (2025)

ECG-LLM -- training and evaluation of domain-specific large language models for electrocardiography
von: Ahrens, Lara, et al.
Veröffentlicht: (2025)

Question answering system of bridge design specification based on large language model
von: Zhang, Leye, et al.
Veröffentlicht: (2024)

The representation landscape of few-shot learning and fine-tuning in large language models
von: Doimo, Diego, et al.
Veröffentlicht: (2024)

TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
von: Feng, Jiarui, et al.
Veröffentlicht: (2024)

Inducing anxiety in large language models can induce bias
von: Coda-Forno, Julian, et al.
Veröffentlicht: (2023)

Applications of natural language processing in aviation safety: A review and qualitative analysis
von: Nanyonga, Aziida, et al.
Veröffentlicht: (2025)

Aviary: training language agents on challenging scientific tasks
von: Narayanan, Siddharth, et al.
Veröffentlicht: (2024)

Mathematics with large language models as provers and verifiers
von: Duc, Hieu Le, et al.
Veröffentlicht: (2025)

Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification
von: Dubey, Kush
Veröffentlicht: (2024)

Queue management for slo-oriented large language model serving
von: Patke, Archit, et al.
Veröffentlicht: (2024)

Post-training makes large language models less human-like
von: Binz, Marcel, et al.
Veröffentlicht: (2026)

Generative adversarial networks vs large language models: a comparative study on synthetic tabular data generation
von: Barr, Austin A., et al.
Veröffentlicht: (2025)

The in-context inductive biases of vision-language models differ across modalities
von: Allen, Kelsey, et al.
Veröffentlicht: (2025)

Benchmarking large language models for biomedical natural language processing applications and recommendations
von: Chen, Qingyu, et al.
Veröffentlicht: (2023)

Physical models realizing the transformer architecture of large language models
von: Chen, Zeqian
Veröffentlicht: (2025)

When marine radar target detection meets pretrained large language models
von: Hu, Qiying, et al.
Veröffentlicht: (2025)

Safety and accuracy follow different scaling laws in clinical large language models
von: Wind, Sebastian, et al.
Veröffentlicht: (2026)

A dataset and benchmark for hospital course summarization with adapted large language models
von: Aali, Asad, et al.
Veröffentlicht: (2024)

CogBench: a large language model walks into a psychology lab
von: Coda-Forno, Julian, et al.
Veröffentlicht: (2024)

Reasoning emerges from constrained inference manifolds in large language models
von: Ma, Yanbiao, et al.
Veröffentlicht: (2026)

Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction
von: Du, Changyu, et al.
Veröffentlicht: (2024)