Neuro-Symbolic Framework

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Period ending 2026-09-21

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NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings
Date pendingAarav SinghNeuro-Symbolic Framework Natural Language Processing
PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations
Date pendingPavel Iakovets, Liyanapathiranage Sudeepika Wajirakumari Samarathunga, Martin Thomas Horsch +1Counterfactual Explanation Explainable Artificial Intelligence
Improving Natural-Language Combinatorial-Optimization Accuracy in Resource-Constrained Language Models via Formal Abstractions
Date pendingShrenil Shaun Sharma, Avi SharmaScheduling Llm-Based Optimization Modeling

Date pending · cs.CLJ/K move · Enter open · S save

NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings

Aarav Singh

IIIT Naya Raipur

LLM-based diagnostic systems achieve high semantic accuracy on benchmarks, but open-ended evaluation on clinically uncommon presentations reveals a systematic gap between headline accuracy and verifiable clinical reliability. We evaluate an LLM+rare-disease-RAG pipeline across two cohorts and show that the paradigm produces confident outputs that are frequently unverifiable and systematically resistant to clinician interrogation. We present NSIDDx (Neuro-Symbolic Integrated Differential Diagnosis System), a design framework arguing that DDx systems in low-resource settings must treat the clinician as an active reasoning agent. We instantiate this through a neuro-symbolic pipeline with ternary symptom encoding, contradiction detection, audit strings, and practitioner override - running offline on consumer hardware. We distill five design principles for clinician-in-the-loop clinical NLP and invite the prospective studies needed to validate the claim at scale.

Neuro-Symbolic Framework Natural Language Processing

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