I tiakina i:
| Kaituhi matua: | |
|---|---|
| Hōputu: | Recurso digital |
| Reo: | Ingarihi |
| I whakaputaina: |
Zenodo
2026
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.5281/zenodo.18965451 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Rārangi ihirangi:
- <p>This work introduces CSLV (Cross-Source Logical Validation), a framework designed to detect and mitigate source-induced reasoning bias in large language models. The approach evaluates the logical consistency between the original query, provided examples, and the model's generated reasoning.</p> <p>The report also evaluates ANIMA, a cognitive architecture concept that integrates identity-based memory structures and validation layers to enhance reasoning reliability in AI systems.</p> <p>Experimental validation and conceptual analysis are provided to demonstrate how cross-source validation can reduce hallucination and example-dependency in LLM outputs.</p>