Latest Articles for Performance

A look at the benefits of self-tuning control for energy efficiency in industries.

Research on adjustable dimples improves drag performance in moving spheres.

Using AI to automate vectorization, enhancing code efficiency and correctness.

Investigating how instructions and rewards impact focus and performance through eye movement tracking.

Analyzing existing models reveals insights into language model performance trends as size increases.

A study assessing performance and accuracy of posit format versus IEEE 754.

Introducing MoeSumm: a flexible and efficient summarization model.

A new benchmark to assess LLMs for Java programming tasks.

A new model enhances decision-making in dynamic multi-agent environments.

New insights into QAOA boost understanding and optimization capabilities.

A breakthrough system allows fast LLM operations on smartphones, enhancing user privacy.

A new approach to audio captioning reduces reliance on paired data.

Analyzing how rovers are tested on Earth before space missions.

Optimizing multi-hop reasoning improves speed and accuracy for complex data analysis.

Study evaluates how well LLMs reason beyond immediate context.

New framework enhances code completion by capturing repository-specific knowledge.

Learn how EST improves training efficiency and reduces costs for large language models.

A new architecture enhances resource management in recommendation systems.

PianoMotion10M provides detailed hand movements to aid piano learners.

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.