Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Haoyu, Shang, Yifan, Sun, Zhongxiang, Yu, Weijie, Zhang, Xiao, Xu, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
by: Sun, Zhongxiang, et al.
Published: (2026)
by: Sun, Zhongxiang, et al.
Published: (2026)
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)
by: Sun, Zhongxiang, et al.
Published: (2025)
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, 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)
Reasoning Factual Knowledge in Structured Data with Large Language Models
by: Huang, Sirui, et al.
Published: (2024)
by: Huang, Sirui, 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)
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)
KIF: Knowledge Identification and Fusion for Language Model Continual Learning
by: Feng, Yujie, et al.
Published: (2024)
by: Feng, Yujie, et al.
Published: (2024)
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)
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)
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)
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
by: Wang, Jianing, et al.
Published: (2023)
by: Wang, Jianing, et al.
Published: (2023)
Language Models' Factuality Depends on the Language of Inquiry
by: Aggarwal, Tushar, et al.
Published: (2025)
by: Aggarwal, Tushar, et al.
Published: (2025)
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition
by: Kim, Jiyeon, et al.
Published: (2024)
by: Kim, Jiyeon, et al.
Published: (2024)
A Perspective on Large Language Models, Intelligent Machines, and Knowledge Acquisition
by: Cherkassky, Vladimir, et al.
Published: (2024)
by: Cherkassky, Vladimir, et al.
Published: (2024)
FAME: Towards Factual Multi-Task Model Editing
by: Zeng, Li, et al.
Published: (2024)
by: Zeng, Li, et al.
Published: (2024)
Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall
by: Yuan, Jiaqing, et al.
Published: (2024)
by: Yuan, Jiaqing, et al.
Published: (2024)
Generating Benchmarks for Factuality Evaluation of Language Models
by: Muhlgay, Dor, et al.
Published: (2023)
by: Muhlgay, Dor, et al.
Published: (2023)
Factuality of Large Language Models: A Survey
by: Wang, Yuxia, et al.
Published: (2024)
by: Wang, Yuxia, et al.
Published: (2024)
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
by: Feng, Yujie, et al.
Published: (2025)
by: Feng, Yujie, et al.
Published: (2025)
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)
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models
by: Wei, Yifan, et al.
Published: (2024)
by: Wei, Yifan, et al.
Published: (2024)
Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents
by: Li, Yifei, et al.
Published: (2026)
by: Li, Yifei, et al.
Published: (2026)
An Explicit Syllogistic Legal Reasoning Framework for Large Language Models
by: Zhang, Kepu, et al.
Published: (2025)
by: Zhang, Kepu, et al.
Published: (2025)
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models
by: Yuan, Hongbang, et al.
Published: (2024)
by: Yuan, Hongbang, et al.
Published: (2024)
When Language Shapes Thought: Cross-Lingual Transfer of Factual Knowledge in Question Answering
by: Kang, Eojin, et al.
Published: (2025)
by: Kang, Eojin, 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)
KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking
by: Zhang, Jiawei, et al.
Published: (2024)
by: Zhang, Jiawei, et al.
Published: (2024)
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
by: Li, Dongfang, et al.
Published: (2024)
by: Li, Dongfang, et al.
Published: (2024)
Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation
by: Zhang, Songming, et al.
Published: (2023)
by: Zhang, Songming, et al.
Published: (2023)
KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions
by: Zhu, Yanxu, et al.
Published: (2024)
by: Zhu, Yanxu, et al.
Published: (2024)
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)
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks
by: Pan, Wenbo, et al.
Published: (2025)
by: Pan, Wenbo, et al.
Published: (2025)
Dual-Space Knowledge Distillation for Large Language Models
by: Zhang, Songming, et al.
Published: (2024)
by: Zhang, Songming, et al.
Published: (2024)
Continual Learning with Global Alignment
by: Bai, Xueying, et al.
Published: (2022)
by: Bai, Xueying, et al.
Published: (2022)
Language Models with Conformal Factuality Guarantees
by: Mohri, Christopher, et al.
Published: (2024)
by: Mohri, Christopher, et al.
Published: (2024)
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
by: Qi, Jirui, et al.
Published: (2023)
by: Qi, Jirui, et al.
Published: (2023)
Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)
by: Liu, Hongxuan, et al.
Published: (2024)
LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning
by: Yin, Joy Lim Jia, et al.
Published: (2025)
by: Yin, Joy Lim Jia, et al.
Published: (2025)
Similar Items
-
When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs
by: Sun, Zhongxiang, et al.
Published: (2026) -
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025) -
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations
by: Yu, Lei, et al.
Published: (2024) -
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
by: Xu, Derong, et al.
Published: (2024) -
Reasoning Factual Knowledge in Structured Data with Large Language Models
by: Huang, Sirui, et al.
Published: (2024)