Latest Articles for Performance

This study examines how figurative language aids in identifying writing style and authorship.

This article investigates gender bias in language models used for depression evaluation.

Exploring how skills can enhance decision-making in reinforcement learning.

This study evaluates spectral GNNs for effectiveness and efficiency across various tasks.

A new model enables robots to learn tasks better using visual and language inputs.

A framework for improving accuracy in network measurement while managing resource use.

A fresh approach to make digital assistants smarter through ongoing learning.

SciEx reveals strengths and challenges of LLMs in scientific evaluation.

This article examines methods to assess variance in language model evaluation benchmarks.

A fresh approach improves learning from neural network weight space.

A new method enhances processing of long texts in language models efficiently.

This article discusses a new optimizer for deep learning that minimizes memory use while maximizing performance.

A study evaluates language models on handling multiple tasks simultaneously.

A new technique improves language models by updating and adding knowledge efficiently.

Tender offers a novel solution for efficient use of large language models.

Examining the capabilities of LLMs compared to traditional taxonomies.

Exploring methods to create structured tables using large language models.

Research outlines techniques to improve efficiency in serving LoRA adapters.

Introducing model evolution for improved language model performance without extra training data.

A new method enhances testing for language models using real user data.

Examining the limitations of large language models in understanding code relationships.

Research shows simple sensors can rival complex cameras in robot tasks.

A new framework helps language models learn symbolic language without human input.

A study on the performance of smaller, open language models across various tasks.

A new method for understanding how audio models make predictions.

A new dataset improves code search efficiency for developers using natural language queries.

GLM-4 models show improved capabilities in language understanding and generation.

A new method to improve model stability and performance in low-resource settings.

Introducing a flexible method for learning rates that enhances model performance without preset schedules.

Examining how neuron activation enhances arithmetic reasoning in large language models.

Examining the advancements in GPU database technology and their performance.

A new method enhances material performance predictions for 3D-printed components.

A new method improves example selection and instruction optimization for large language models.

A new metric improves evaluation of text classification models across different domains.

This article examines methods to remove user data from neural networks efficiently.

A study on how pose estimation models perform with corrupted images.

QuickEd improves speed and accuracy in DNA and protein sequence alignment.

A new approach to optimize systems using Signal Temporal Logic.

A new method improves privacy protection in language models while maintaining performance.

This article discusses the adaptation of language models for improved support across various languages.