:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yan, He, Yueru, Xiang, Ruoyu, Zhao, Jeff
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.05700
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Model Enhanced Knowledge Representation Learning: A Survey
by: Wang, Xin, et al.
Published: (2024)

Fairness Evaluation of Large Language Models in Academic Library Reference Services
by: Wang, Haining, et al.
Published: (2025)

Ontology-Enhanced Knowledge Graph Completion using Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

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

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
by: Yang, Linyao, et al.
Published: (2023)

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

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
by: Zhang, Shuo, et al.
Published: (2023)

Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models
by: Ding, Wenxuan, et al.
Published: (2023)

Knowledge Editing on Black-box Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2024)

Combining Knowledge Graphs and Large Language Models
by: Kau, Amanda, et al.
Published: (2024)

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models
by: Tan, Yuqiao, et al.
Published: (2025)

Precision Knowledge Editing: Enhancing Safety in Large Language Models
by: Li, Xuying, 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)

Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
by: Wang, Junjie, et al.
Published: (2024)

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

EasyDistill: A Comprehensive Toolkit for Effective Knowledge Distillation of Large Language Models
by: Wang, Chengyu, et al.
Published: (2025)

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning
by: Lv, Qitan, et al.
Published: (2026)

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
by: Zhou, Zhi, et al.
Published: (2024)

Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
by: Yang, Chuanpeng, et al.
Published: (2024)

Leveraging Large Language Model as Simulated Patients for Clinical Education
by: Li, Yanzeng, et al.
Published: (2024)

Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs
by: Huang, Yuxuan
Published: (2023)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024)

Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
by: Ma, Xingyu, et al.
Published: (2024)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
by: Chen, Hao, et al.
Published: (2026)

Knowledge Editing for Large Language Models: A Survey
by: Wang, Song, et al.
Published: (2023)

FoundaBench: Evaluating Chinese Fundamental Knowledge Capabilities of Large Language Models
by: Li, Wei, et al.
Published: (2024)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models
by: Hong, Xingyun, et al.
Published: (2024)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
by: Wu, Taiqiang, et al.
Published: (2024)

Unifying Large Language Models and Knowledge Graphs: A Roadmap
by: Pan, Shirui, et al.
Published: (2023)

LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing
by: Sun, Maojun
Published: (2024)

Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
by: Fang, Junfeng, et al.
Published: (2024)

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
by: Lin, Qika, et al.
Published: (2025)

Enhancing Safety of Large Language Models via Embedding Space Separation
by: Zhao, Xu, et al.
Published: (2026)

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
by: Wang, Pei, et al.
Published: (2024)

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
by: Amayuelas, Alfonso, et al.
Published: (2023)

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning
by: Liu, Yu, et al.
Published: (2025)

ShareChat: A Dataset of Chatbot Conversations in the Wild
by: Yan, Yueru, et al.
Published: (2025)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)