Exploiting Large Language Models for Diagnosing Autism Associated Language Disorders and Identifying Distinct Features Article Swipe
Chuanbo Hu
,
Wenqi Li
,
Mindi Ruan
,
Xiangxu Yu
,
Spriha Deshpande
,
Lynn K. Paul
,
Shuo Wang
,
Xin Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-6931837/v1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-6931837/v1
Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. In this study, we explored Large Language Models (LLMs) to overcome the speed and precision obstacles by enhancing sensitivity and profiling linguistic features for autism diagnosis. This research utilizes natural language understanding capabilities of LLMs to simplify and improve the diagnostic process, focusing on identifying autism-related language patterns. We showed that the proposed method demonstrated improvements over the baseline models, with over a 10% increase in both sensitivity and positive predictive value in a zero-shot learning configuration. Combining accuracy and applicability, the framework could serve as a valuable supplementary tool within the diagnostic process for ASD-related language patterns. We identified ten key features of autism-associated language disorders across scenarios. Features such as echolalia, pronoun reversal, and atypical language usage play a critical role in diagnosing ASD and informing tailored treatment plans.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-6931837/v1
- OA Status
- gold
- Cited By
- 1
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412897445
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412897445Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-6931837/v1Digital Object Identifier
- Title
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Exploiting Large Language Models for Diagnosing Autism Associated Language Disorders and Identifying Distinct FeaturesWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-07-29Full publication date if available
- Authors
-
Chuanbo Hu, Wenqi Li, Mindi Ruan, Xiangxu Yu, Spriha Deshpande, Lynn K. Paul, Shuo Wang, Xin LiList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-6931837/v1Publisher landing page
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.21203/rs.3.rs-6931837/v1Direct OA link when available
- Concepts
-
Autism, Computer science, Profiling (computer programming), Psychology, Natural language processing, Artificial intelligence, Developmental psychology, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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