Latest Articles for Tokens

Zyda, a dataset with 1.3 trillion tokens, enhances language model training.

FineWeb offers 15 trillion tokens to improve language model training.

Fibottention enhances efficiency in machine visual understanding.

Researchers examine methods to secure sensitive information in text classification models.

New TOKEN approach improves handling of rare driving events in autonomous vehicles.

STRIDE predicts lost variable names and types in decompiled software efficiently.

Research shows simple input changes can lead to harmful outputs in LLMs.

MaskMoE improves token learning in MoE models by enhancing infrequent token performance.

TokenSHAP reveals how words impact language model responses.

LookupViT improves visual recognition tasks through efficient token processing.

ChatQA 2 enhances performance in processing long texts and retrieval tasks.

A new model improves understanding of language through structured data representation.

A cost-effective approach for analyzing high-resolution images and text.

MHSSMamba enhances accuracy in hyperspectral image processing and classification.

Learn about 500xCompressor, a new method for effective prompt compression.

Exploring the challenges of rearranging tokens in graphs.

SAMSA improves self-attention efficiency for various data types.

A study of different tokens and their patterns in the evolving Web3 space.

The study evaluates originality in AI-generated images using token measurement.

A new method enhances accuracy in counting objects in generated images.

This article examines how token management in ColBERT affects document ranking.

X-Codec improves audio generation by integrating semantic understanding into processing.

This article compares discrete and continuous speech representations for effective speech recognition.

A new algorithm enhances the creation of alpha factors for better investment insights.

Examining the role of attention across different layers in language models.

This article discusses advancements in protecting smart contracts against vulnerabilities and financial loss.

A new method to enhance large language models' response to user instructions.

Recent models enhance AI's ability to generate and understand various media.

SATA improves the robustness and efficiency of Vision Transformers for image classification tasks.

Examining vulnerabilities in watermarking methods against paraphrasing attacks.

RLT reduces training time for AI in video processing by cutting down unnecessary tokens.

A look at SuffixDecoding and its impact on language model efficiency.

Examining the line between AI-generated and human-written scientific papers.

MDBPE optimizes image processing by compressing visual data efficiently.

A method for enhancing LLMs' retention of important details in long texts.

Introducing Long Video Masked Autoencoders for better video understanding.

Factorized Quantization improves image generation through efficient token management.

Researchers improve speech detection for faster and accurate voice searches.

A global effort in AI training leads to cutting-edge language model INTELLECT-1.

Researchers are improving LLMs' performance while saving resources.