:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rani, Maneeha, Mishra, Bhupesh Kumar, Thakker, Dhavalkumar
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.21425
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Explainable Knowledge Graph Retrieval-Augmented Generation (KG-RAG) with KG-SMILE
by: Moghaddam, Zahra Zehtabi Sabeti, et al.
Published: (2025)

Digital Health and Indoor Air Quality: An IoT-Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance
by: Kureshi, Rameez Raja, et al.
Published: (2024)

Enhancing Trustworthiness and Minimising Bias Issues in Leveraging Social Media Data for Disaster Management Response
by: Abid, Samia, et al.
Published: (2024)

Evaluating a Multi-Agent Voice-Enabled Smart Speaker for Care Homes: A Safety-Focused Framework
by: Dehghani, Zeinab, et al.
Published: (2026)

Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression
by: Paxton, Kuniko, et al.
Published: (2025)

Crafting Tomorrow's Evaluations: Assessment Design Strategies in the Era of Generative AI
by: Kadel, Rajan, et al.
Published: (2024)

Safer Skin Lesion Classification with Global Class Activation Probability Map Evaluation and SafeML
by: Paxton, Kuniko, et al.
Published: (2025)

Mitigating Individual Skin Tone Bias in Skin Lesion Classification through Distribution-Aware Reweighting
by: Paxton, Kuniko, et al.
Published: (2025)

Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
by: Paxton, Kuniko, et al.
Published: (2025)

Exploring the Impact of Skin Color on Skin Lesion Segmentation
by: Paxton, Kuniko, et al.
Published: (2026)

Large Language Models Are Neurosymbolic Reasoners
by: Fang, Meng, et al.
Published: (2024)

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey
by: Acharya, Kamal, et al.
Published: (2025)

EcoFair: Trustworthy and Energy-Aware Routing for Privacy-Preserving Vertically Partitioned Medical Inference
by: Anoosha, Mostafa, et al.
Published: (2026)

Independence Is Not an Issue in Neurosymbolic AI
by: Faronius, Håkan Karlsson, et al.
Published: (2025)

T-ILR: a Neurosymbolic Integration for LTLf
by: Andreoni, Riccardo, et al.
Published: (2025)

The Neurosymbolic Frontier of Nonuniform Ellipticity: Formalizing Sharp Schauder Theory via Topos-Theoretic Reasoning Models
by: Mishra, Suyash
Published: (2026)

Reasoning in Neurosymbolic AI
by: Tran, Son, et al.
Published: (2025)

DeepGraphLog for Layered Neurosymbolic AI
by: Kikaj, Adem, et al.
Published: (2025)

Neurosymbolic AI for Enhancing Instructability in Generative AI
by: Sheth, Amit, et al.
Published: (2024)

Education in the Era of Neurosymbolic AI
by: Jaldi, Chris Davis, et al.
Published: (2024)

Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks
by: Acharya, Kamal, et al.
Published: (2025)

From Large Language Model Predicates to Logic Tensor Networks: Neurosymbolic Offer Validation in Regulated Procurement
by: Haufe, Cedric, et al.
Published: (2026)

TEN: Table Explicitization, Neurosymbolically
by: Mehrotra, Nikita, et al.
Published: (2025)

Metacognitive AI: Framework and the Case for a Neurosymbolic Approach
by: Wei, Hua, et al.
Published: (2024)

Neurosymbolic Language Reasoning as Satisfiability Modulo Theory
by: Oh, Hyunseok, et al.
Published: (2026)

LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
by: Li, Bowen, et al.
Published: (2024)

Relational Neurosymbolic Markov Models
by: De Smet, Lennert, et al.
Published: (2024)

Hybrid Neuro-Symbolic Models for Ethical AI in Risk-Sensitive Domains
by: Kolli, Chaitanya Kumar
Published: (2025)

Jailbreaking Large Language Models with Symbolic Mathematics
by: Bethany, Emet, et al.
Published: (2024)

Neurosymbolic Auditing of Natural-Language Software Requirements
by: Hall, Bethel, et al.
Published: (2026)

Intermediate Languages Matter: Formal Languages and LLMs affect Neurosymbolic Reasoning
by: Beiser, Alexander, et al.
Published: (2025)

SambaLingo: Teaching Large Language Models New Languages
by: Csaki, Zoltan, et al.
Published: (2024)

Neurosymbolic Grounding for Compositional World Models
by: Sehgal, Atharva, et al.
Published: (2023)

How Large Language Models Need Symbolism
by: Deng, Xiaotie, et al.
Published: (2025)

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
by: Xu, Fangzhi, et al.
Published: (2023)

Smart IoT-Based Wearable Device for Detection and Monitoring of Common Cow Diseases Using a Novel Machine Learning Technique
by: Mishra, Rupsa Rani, et al.
Published: (2026)

The DeepLog Neurosymbolic Machine
by: Derkinderen, Vincent, et al.
Published: (2025)

Neurosymbolic Deep Learning Semantics
by: Garcez, Artur d'Avila, et al.
Published: (2025)

Neurosymbolic Methods for Rule Mining
by: Lawrynowicz, Agnieszka, et al.
Published: (2024)

Conventional Commit Classification using Large Language Models and Prompt Engineering
by: Quadir, H. M. Sazzad, et al.
Published: (2026)