Reasoning Factual Knowledge in Structured Data with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Sirui, Gu, Yanggan, Hu, Xuming, Li, Zhonghao, Li, Qing, Xu, Guandong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge
by: Huang, Sirui, et al.
Published: (2025)
by: Huang, Sirui, et al.
Published: (2025)
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
by: Gu, Yanggan, et al.
Published: (2025)
by: Gu, Yanggan, et al.
Published: (2025)
RVISA: Reasoning and Verification for Implicit Sentiment Analysis
by: Lai, Wenna, et al.
Published: (2024)
by: Lai, Wenna, et al.
Published: (2024)
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)
by: Zhang, Yifei, et al.
Published: (2024)
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
by: Xu, Derong, et al.
Published: (2024)
by: Xu, Derong, et al.
Published: (2024)
Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model Factuality
by: Zhang, Mike, et al.
Published: (2025)
by: Zhang, Mike, et al.
Published: (2025)
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering Capabilities
by: Li, Zhonghao, et al.
Published: (2024)
by: Li, Zhonghao, et al.
Published: (2024)
Reasoning Models Hallucinate More: Factuality-Aware Reinforcement Learning for Large Reasoning Models
by: Li, Junyi, et al.
Published: (2025)
by: Li, Junyi, et al.
Published: (2025)
ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation
by: Lee, Zhicheng, et al.
Published: (2025)
by: Lee, Zhicheng, et al.
Published: (2025)
Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning
by: Lai, Wenna, et al.
Published: (2024)
by: Lai, Wenna, et al.
Published: (2024)
Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction
by: Lai, Wenna, et al.
Published: (2026)
by: Lai, Wenna, et al.
Published: (2026)
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
by: Wu, Juncheng, et al.
Published: (2025)
by: Wu, Juncheng, et al.
Published: (2025)
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs
by: Liu, Xiaoze, et al.
Published: (2024)
by: Liu, Xiaoze, et al.
Published: (2024)
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
by: Chen, Yuheng, et al.
Published: (2024)
by: Chen, Yuheng, et al.
Published: (2024)
Aligning Knowledge Graphs and Language Models for Factual Accuracy
by: Nishat, Nur A Zarin, et al.
Published: (2025)
by: Nishat, Nur A Zarin, et al.
Published: (2025)
Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning
by: Wang, Shengyuan, et al.
Published: (2025)
by: Wang, Shengyuan, et al.
Published: (2025)
STAR: Stepwise Task Augmentation with Relation Learning for Aspect Sentiment Quad Prediction
by: Lai, Wenna, et al.
Published: (2025)
by: Lai, Wenna, et al.
Published: (2025)
Pandora: A Code-Driven Large Language Model Agent for Unified Reasoning Across Diverse Structured Knowledge
by: Chen, Yongrui, et al.
Published: (2025)
by: Chen, Yongrui, et al.
Published: (2025)
FactAlign: Long-form Factuality Alignment of Large Language Models
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
Factuality of Large Language Models: A Survey
by: Wang, Yuxia, et al.
Published: (2024)
by: Wang, Yuxia, et al.
Published: (2024)
Struct-X: Enhancing Large Language Models Reasoning with Structured Data
by: Tan, Xiaoyu, et al.
Published: (2024)
by: Tan, Xiaoyu, et al.
Published: (2024)
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language Models
by: Marinescu, Radu, et al.
Published: (2025)
by: Marinescu, Radu, et al.
Published: (2025)
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs
by: Huang, Yuxuan
Published: (2023)
by: Huang, Yuxuan
Published: (2023)
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
by: Yang, Haoran, et al.
Published: (2024)
by: Yang, Haoran, et al.
Published: (2024)
Synthesis by Design: Controlled Data Generation via Structural Guidance
by: Xu, Lei, et al.
Published: (2025)
by: Xu, Lei, et al.
Published: (2025)
FLAME: Factuality-Aware Alignment for Large Language Models
by: Lin, Sheng-Chieh, et al.
Published: (2024)
by: Lin, Sheng-Chieh, et al.
Published: (2024)
Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
by: Wang, Haoyu, et al.
Published: (2026)
by: Wang, Haoyu, et al.
Published: (2026)
Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation
by: Zheng, Kening, et al.
Published: (2026)
by: Zheng, Kening, et al.
Published: (2026)
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
by: Wang, Jingyuan, et al.
Published: (2025)
by: Wang, Jingyuan, et al.
Published: (2025)
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study
by: Wu, Yang, et al.
Published: (2024)
by: Wu, Yang, et al.
Published: (2024)
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, et al.
Published: (2024)
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
by: Yan, Yibo, et al.
Published: (2025)
by: Yan, Yibo, et al.
Published: (2025)
THRD: A Training-Free Multi-Turn Defense Framework for Jailbreak Attacks on Large Language Models
by: Ma, Zhiqing, et al.
Published: (2026)
by: Ma, Zhiqing, et al.
Published: (2026)
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
by: Ding, Wenxuan, et al.
Published: (2023)
by: Ding, Wenxuan, et al.
Published: (2023)
When LLMs Team Up: The Emergence of Collaborative Affective Computing
by: Lai, Wenna, et al.
Published: (2025)
by: Lai, Wenna, et al.
Published: (2025)
Listwise Preference Optimization with Element-wise Confusions for Aspect Sentiment Quad Prediction
by: Lai, Wenna, et al.
Published: (2025)
by: Lai, Wenna, et al.
Published: (2025)
LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
by: Tran, Hieu, et al.
Published: (2024)
by: Tran, Hieu, et al.
Published: (2024)
CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Similar Items
-
HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge
by: Huang, Sirui, et al.
Published: (2025) -
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models
by: Gu, Yanggan, et al.
Published: (2025) -
RVISA: Reasoning and Verification for Implicit Sentiment Analysis
by: Lai, Wenna, et al.
Published: (2024) -
Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024) -
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
by: Xu, Derong, et al.
Published: (2024)