Evolving AI: What Lies Beyond Today’s Language Models

As language models evolve, a convergent adaptive model approach promises to build on current trends to overcome existing limitations and create a more human-like experience; however, some challenges remain.

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Publication Details

Journal
Computer
Published
2025-04-18
DOI
https://doi.org/10.1109/mc.2025.3546045
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

Evolving AI: What Lies Beyond Today’s Language Models

Mark Campbell, Mladjan Jovanovic
1 citations
Computer
Natural Language Processing Techniques
2.48
article

Evolving AI: What Lies Beyond Today’s Language Models

Mark Campbell, Mladjan Jovanovic
article en
1 citations

Abstract

As language models evolve, a convergent adaptive model approach promises to build on current trends to overcome existing limitations and create a more human-like experience; however, some challenges remain.

ComputerVol. 58(5)
Singidunum University (RS)
Openalex Percentile: Top 11%
Natural Language Processing Techniques
2.48
DOISourceOpenAlex
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Evolving AI: What Lies Beyond Today’s Language Models — Mark Campbell, Mladjan Jovanovic · Computer (2025) | TGRS Research Map | TGRS