Artificial Intelligence (AI) promises to revolutionize nearly every aspect of human learning.
However, users have observed that the efficacy of AI assistants hinges crucially on the …

Large language models (LLMs) have achieved substantial progress in processing long
contexts but still struggle with long-context reasoning. Existing approaches typically involve …

Recent advances in Large Language Models (LLMs) have enabled them to process
increasingly longer sequences, ranging from 2K to 2M tokens and even beyond. However …

Long-context models (LCMs) have shown great potential in processing long input
sequences (even more than 100M tokens) conveniently and effectively. With significant …

Processing long contexts poses a significant challenge for large language models (LLMs)
due to their inherent context-window limitations and the computational burden of extensive …

This study evaluates the effectiveness of zero-shot compression techniques on large
language models (LLMs) under long-context. We identify the tendency for computational …

Segmenting invoice item description into attributes that describe its features may be a
newsworthy alternative for subsequent entity resolution. This paper presents a set of …

ABSTRACT Large Language Models (LLMs) have shown impressive capabilities in
understanding and generating coherent natural language, but they still suffer from …

Hydrogen production using curtailed wind and solar energy is an efficient way of energy
consumption, but the power generation model using curtailed wind and solar energy suffers …

Recent innovations in large language models (LLMs) have led to their widespread use, but
the long context problem remains a fundamental challenge. Transformer-based LLMs are …