Latest Articles for Model

New benchmarks reveal strengths and weaknesses of coding language models.

A study that measures political bias in large language models through stance and framing.

COCO-ReM enhances object detection by refining COCO's original dataset annotations.

Annolid automates animal tracking in videos, aiding researchers in studying behavior.

A new dataset improves assessment of molecular knowledge in language models.

A new method improves accuracy against adversarial samples in breast cancer detection.

A new dataset aims to improve English-Tulu translations for low-resource languages.

A new method improves clarity in analyzing gene interactions using machine learning.

Explore how fast and slow processes shape population behavior over time.

This work presents a systematic framework for analyzing machine learning algorithms.

A method for assessing artistic style in generated images.

This study focuses on enhancing spatial accuracy in text-to-image generation.

New datasets enhance the capabilities of Neural Architecture Search in real-world applications.

Research reveals ways to improve text-to-image systems efficiently and cost-effectively.

This study reviews how batch size influences speech model performance and training.

New methods improve the accuracy of neuron models for better brain research.

A new model improves lymph node detection in CT scans for better cancer diagnosis.

This work focuses on identifying important scenes to enhance movie script summaries.

A new system aims to generate clearer edit summaries for better Wikipedia contributions.

New methods improve video summarization using large datasets and advanced models.

Research shows planning enhances text generation models' accuracy and reliability.

A look at how different statistical methods affect uncertainty in nuclear science.

A framework for improving pre-trained model selection through graph learning.

Investigating how language models interpret complex sentence meanings.

This article discusses the Majority-of-Three algorithm for improving learning accuracy.

Research enhances robotic pruning accuracy using simulation and deep learning techniques.

Enhancing tools to detect harmful language in online spaces is crucial for safety.

A new method enhances efficiency in creating 3D models from real-world data.

This study examines if language models make decisions like humans in strategic scenarios.

A look at Epstein semantics and its significance in logic and relationships.

Investigating how tools assist large language models in maintaining knowledge.

This study examines quality problems in prompts for code generation models.

New methods detect cracks in solar panels using computer vision technology.

Exploring how question salience enhances comprehension and drives curiosity in learning.

A new memory system enhances language models' accuracy and reliability.

This study evaluates the use of models in interpreting ECG images through zero-shot learning.

Research reveals how tau proteins spread in the brain, showing a retrograde bias.

A method to reduce bias in existing deep learning models using minimal examples.

This study highlights how context enhances object description in machine learning models.

Analyzing how two surfaces interact through mathematical modeling of adhesion and friction.