By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Abstract: The purpose of this work is to investigate the use of Natural Language Processing (NLP) techniques in the field of automated textbook summarisation. As a result of the exponential growth of ...
Abstract: Automatic Text Summarization (ATS) in Natural Language Processing (NLP) aims to produce concise and meaningful summaries from long texts. While research in English has advanced rapidly, ...
1 Introduction Natural language processing (NLP) is a growing area of research that aims to develop algorithms and models capable of processing and decoding unstructured, human-generated text. In ...
NLSS helps researchers run statistical analyses through natural language conversations with an AI coding agent. You describe what you want in plain English; NLSS handles the R scripts, produces ...
CGBridge is a novel framework designed to enhance the code understanding capabilities of Large Language Models (LLMs) by integrating rich structural information from code graphs. Our approach follows ...
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