Buchumschlag

Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Kang, Xin, Shteingardt, Veronika, Wang, Yuhan, Dori, Dov
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Structural Deep Encoding for Table Question Answering
von: Mouravieff, Raphaël, et al.
Veröffentlicht: (2025)

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
von: Fu, Rong, et al.
Veröffentlicht: (2026)

CIRAG: Construction-Integration Retrieval and Adaptive Generation for Multi-hop Question Answering
von: Wei, Zili, et al.
Veröffentlicht: (2026)

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
von: Liu, Jiaxiang, et al.
Veröffentlicht: (2024)

KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration
von: Wang, Nan, et al.
Veröffentlicht: (2025)

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
von: Frisoni, Giacomo, et al.
Veröffentlicht: (2024)

GlobalRAG: Enhancing Global Reasoning in Multi-hop Question Answering via Reinforcement Learning
von: Luo, Jinchang, et al.
Veröffentlicht: (2025)

Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models
von: Vaidya, Nishtha N., et al.
Veröffentlicht: (2024)

Code-Style In-Context Learning for Knowledge-Based Question Answering
von: Nie, Zhijie, et al.
Veröffentlicht: (2023)

Denoising Table-Text Retrieval for Open-Domain Question Answering
von: Kang, Deokhyung, et al.
Veröffentlicht: (2024)

Optimized Biomedical Question-Answering Services with LLM and Multi-BERT Integration
von: Qian, Cheng, et al.
Veröffentlicht: (2024)

Enhancing Temporal Sensitivity and Reasoning for Time-Sensitive Question Answering
von: Yang, Wanqi, et al.
Veröffentlicht: (2024)

OLAPH: Improving Factuality in Biomedical Long-form Question Answering
von: Jeong, Minbyul, et al.
Veröffentlicht: (2024)

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
von: Long, Xiao, et al.
Veröffentlicht: (2025)

When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering
von: Kang, Eojin, et al.
Veröffentlicht: (2025)

DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering
von: Chen, Haotian, et al.
Veröffentlicht: (2026)

NeuroSym-BioCAT: Leveraging Neuro-Symbolic Methods for Biomedical Scholarly Document Categorization and Question Answering
von: Zamil, Parvez, et al.
Veröffentlicht: (2024)

VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
von: Nguyen, Tan-Minh, et al.
Veröffentlicht: (2025)

Aligning Human and Machine Attention for Enhanced Supervised Learning
von: Chriqui, Avihay, et al.
Veröffentlicht: (2025)

Enhancing Financial Question Answering with a Multi-Agent Reflection Framework
von: Fatemi, Sorouralsadat, et al.
Veröffentlicht: (2024)

Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
von: Yu, Haoran, et al.
Veröffentlicht: (2024)

iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
von: Wang, Shuai, et al.
Veröffentlicht: (2025)

Seek and Solve Reasoning for Table Question Answering
von: Jiang, Ruya, et al.
Veröffentlicht: (2024)

A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
von: Lin, Xin, et al.
Veröffentlicht: (2024)

KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
von: Sun, Yushi, et al.
Veröffentlicht: (2025)

Correct after Answer: Enhancing Multi-Span Question Answering with Post-Processing Method
von: Lin, Jiayi, et al.
Veröffentlicht: (2024)

Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Research
von: Huo, Shuning, et al.
Veröffentlicht: (2024)

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis
von: Sinha, Sania, et al.
Veröffentlicht: (2025)

Reinforcement Learning for Conversational Question Answering over Knowledge Graph
von: Wu, Mi
Veröffentlicht: (2024)

Dynamic Few-Shot Learning for Knowledge Graph Question Answering
von: D'Abramo, Jacopo, et al.
Veröffentlicht: (2024)

A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering
von: Zhang, Lingxi, et al.
Veröffentlicht: (2024)

Gradually Excavating External Knowledge for Implicit Complex Question Answering
von: Liu, Chang, et al.
Veröffentlicht: (2026)

Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering
von: Du, Haowei, et al.
Veröffentlicht: (2024)

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
von: Yang, Sen, et al.
Veröffentlicht: (2023)

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
von: Long, Xiao, et al.
Veröffentlicht: (2025)

Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering
von: Zhai, Weihe, et al.
Veröffentlicht: (2023)

Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answering
von: Takahashi, Yu, et al.
Veröffentlicht: (2025)

Efficient Medical Question Answering with Knowledge-Augmented Question Generation
von: Khlaut, Julien, et al.
Veröffentlicht: (2024)

Graph Neural Network Enhanced Retrieval for Question Answering of LLMs
von: Li, Zijian, et al.
Veröffentlicht: (2024)

SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs
von: Wang, Hao, et al.
Veröffentlicht: (2025)