UTD24 Research Publishing
UTD24 Journal JADAI
Artificial intelligence

Journal of Algorithmic Discovery and Applied AI

Methods, evidence and responsible applications across the AI lifecycle.

ISSN pending Monthly (12 issues per year) Open access
Editorial intake: preparing
Current volume

Articles

43 published · View all articles →

Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Interface Design and Evidence Communication

Spencer Bennett, Tanner Parker, Troy Foster

Evidence must be communicated through interfaces that preserve uncertainty, support interpretation, and avoid turning a model output into an unexplained recommendation. This structured evidence review evaluates "Hyperspectral Images Efficie...

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Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning: Multimodal Alignment and Information Fusion

Warren Davidson, Zach Holland, Abram Hawkins

Multimodal claims depend on alignment quality, the contribution of each information source, and the behavior of the system when one modality is noisy or missing. This structured evidence review evaluates "Hyperspectral Images Efficient Spat...

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Critical Roles of Chalcogenide Anion on Strengthening Stability of Ni 2 Mo 6 Te 8 for Almost Exclusive Electrocatalysts Nitrate to Ammonia Conversion: Multimodal Alignment and Information Fusion

Bryce Gardner, Carson Hoffman, Chase Schmidt

Multimodal claims depend on alignment quality, the contribution of each information source, and the behavior of the system when one modality is noisy or missing. This structured evidence review evaluates "Critical Roles of Chalcogenide Anio...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Interface Design and Evidence Communication

Kieran Barrett, Landon Fletcher, Miles Burke

Evidence must be communicated through interfaces that preserve uncertainty, support interpretation, and avoid turning a model output into an unexplained recommendation. This structured evidence review evaluates "AutoCrit: A Meta-Reasoning F...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Resource Efficiency and Performance Trade-offs

Dawson Larson, Emmett Carlson, Finn Newman

Efficiency claims should state which resources are saved, what performance is exchanged, and whether the trade-off remains acceptable at operational scale. This structured evidence review evaluates "AutoCrit: A Meta-Reasoning Framework for...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Failure Modes and Error Containment

Abram Gardner, Brooks Hoffman, Clayton Schmidt

Aggregate performance can conceal concentrated failures, so errors must be classified by cause, consequence, and the controls available to contain them. This structured evidence review evaluates "AutoCrit: A Meta-Reasoning Framework for Sel...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Provenance, Traceability, and Auditability

Trent Crawford, Warren Lawson, Zach Johnston

A defensible evidence chain must show where data originated, how records were transformed, and which decisions can be reconstructed after publication. This structured evidence review evaluates "AutoCrit: A Meta-Reasoning Framework for Self-...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Open Science and Comparative Benchmarking

Parker Woods, Reed Patterson, Russell Jenkins

Transparent materials and comparable benchmarks are required to reproduce a result, locate disagreement, and determine whether improvements persist under a shared protocol. This structured evidence review evaluates "AutoCrit: A Meta-Reasoni...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Multimodal Alignment and Information Fusion

Kent Reynolds, Lance Spencer, Mitchell Freeman

Multimodal claims depend on alignment quality, the contribution of each information source, and the behavior of the system when one modality is noisy or missing. This structured evidence review evaluates "AutoCrit: A Meta-Reasoning Framewor...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: Adaptation and Calibration Across Domains

Heath Chapman, Ivan Marshall, Jake Bailey

Cross-domain use depends on whether predictions remain calibrated when data sources, populations, and decision thresholds change. This structured evidence review evaluates "AutoCrit: A Meta-Reasoning Framework for Self-Critique and Iterativ...

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AutoCrit - A Meta-Reasoning Framework for Self-Critique and Iterative Error Correction in LLM Chains-of-Thought: From Benchmark Results to External Validity

Chase Griffin, Dalton Powell, Drew Edwards

Benchmark performance is useful only when the evaluation setting represents the populations and operating conditions to which the result will be transferred. This structured evidence review evaluates "AutoCrit: A Meta-Reasoning Framework fo...

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