Back to search

Article

Linguistic Precision in Large Language Models with Adaptive Disambiguation and Efficient Monte Carlo Tree Search for Contextual Clarity

2024-10-03

Abstract excerpt

<title>Abstract</title> <p>The ability to accurately interpret ambiguous linguistic structures has long been a fundamental challenge in constructing models capable of generating human-like text. Standard approaches to word sense disambiguation have traditionally struggled to maintain precision in contexts where words can carry multiple meanings depending on surrounding content. Introducing an adaptive disambiguat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f566993a-59c2-5267-825e-a851801c2f70
DOI
10.21203/rs.3.rs-5186782/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Linguistic Precision in Large Language Models with Adaptive Disambiguation and Efficient Monte Carlo Tree Search for Contextual ClarityDOI 10.21203/rs.3.rs-5186782/v1
Select a neighboring publication to make it the new centre.