Recent advancements in genomics, propelled by artificial intelligence, have unlocked
unprecedented capabilities in interpreting genomic sequences, mitigating the need for …

Handling long input contexts remains a significant challenge for Large Language Models
(LLMs), particularly in resource-constrained environments such as mobile devices. Our work …

In recent years, the input context sizes of large language models (LLMs) have increased
dramatically. However, existing evaluation methods have not kept pace, failing to …

Abstract We investigate Recursive Neural Networks (RvNNs) for language processing tasks.
Roughly, from a generalized perspective, RvNNs repeatedly apply some neural function on …

The platform economy, an economic system that relies on digital platforms to mediate the
exchange of goods, services, and information—such as Uber, Amazon, and Upwork—has …

This study examines platform workers' experiences and perspectives about digital platforms
in the Chinese freight transportation industry based on a large dataset of self-employed truck …

This workshop will discuss the latest multidisciplinary developments in Associative Memory.
A number of leading researchers in this topic from around the world have already agreed to …

Utilizing DNA language models based on the transformer architecture represents a
significant advancement in the field of computational genomics. However, these models face …