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Iacer Calixto

New York University

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Review Open access Aug 2026

Explainability of decoder-only clinical large language models: A scoping review.

Findings show that clinical LLM explainability has shifted toward fluent generative rationales, but evidence that such explanations reflect model reasoning remains limited, and three regulatory priorities are highlighted: prioritizing explanations that enable independent verification or logic auditing over plausibility-only rationales; preferring inspectable models where regulatory documentation is required; and prospectively validating explanations in clinical workflows before scaling.

Nishant Mishra, Ameen Abu-Hanna, Iacer Calixto · 0 citations
Preprint Jul 2026

Beyond Scale and Generation: Understanding Language Model-based Entity Matching

The factors underlying performance differences across matcher architectures are clarified and motivate future research and benchmark designs that better disentangle architectural choices from model-level factors while explicitly evaluating distribution shift and cross-dataset transferability.

Zeyu Zhang, Xue Li, Iacer Calixto et al. · 0 citations