Cover Image

Internal Knowledge Without External Expression: Probing the Generalization Boundary of a Classical Chinese Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Jiuting, Lian, Yuan, Wu, Hao, Huang, Tianqi, Sasaki, Hiroshi, Kouno, Makoto, Choi, Jongil
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
by: Wu, Jiageng, et al.
Published: (2023)

Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
by: Huang, Ziyang, et al.
Published: (2025)

Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
by: Xiao, Chenghao, et al.
Published: (2025)

Towards Efficient Post-Training via Fourier-Driven Adapter Architectures
by: Bae, Donggyun, et al.
Published: (2025)

Pre-training Limited Memory Language Models with Internal and External Knowledge
by: Zhao, Linxi, et al.
Published: (2025)

Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation
by: Shen, Jiajun, et al.
Published: (2025)

Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering
by: Du, Haowei, et al.
Published: (2024)

UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models
by: Wu, Jiajun, et al.
Published: (2025)

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models
by: Cao, Jiahuan, et al.
Published: (2024)

Internal and External Impacts of Natural Language Processing Papers
by: Zhang, Yu
Published: (2025)

Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models
by: Wang, Hao, et al.
Published: (2023)

Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
by: Cai, Yida, et al.
Published: (2024)

End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction
by: Makino, Kohei, et al.
Published: (2024)

Knowledge Boundary Probing and Demand-Guided Intervention for LLM-Based Power System Code Generation
by: Wu, Hui, et al.
Published: (2026)

Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model
by: Chen, Jiali, et al.
Published: (2025)

CCNU at SemEval-2025 Task 3: Leveraging Internal and External Knowledge of Large Language Models for Multilingual Hallucination Annotation
by: Liu, Xu, et al.
Published: (2025)

Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering
by: He, Bolei, et al.
Published: (2025)

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
by: Ni, Shiyu, et al.
Published: (2025)

Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
by: Yang, Yuheng, et al.
Published: (2026)

Understanding Aha Moments: from External Observations to Internal Mechanisms
by: Yang, Shu, et al.
Published: (2025)

Language Modeling with Editable External Knowledge
by: Li, Belinda Z., et al.
Published: (2024)

Mastering Board Games by External and Internal Planning with Language Models
by: Schultz, John, et al.
Published: (2024)

DINA: A Dual Defense Framework Against Internal Noise and External Attacks in Natural Language Processing
by: Chuang, Ko-Wei, et al.
Published: (2025)

Estimating Knowledge in Large Language Models Without Generating a Single Token
by: Gottesman, Daniela, et al.
Published: (2024)

LLMs Could Autonomously Learn Without External Supervision
by: Ji, Ke, et al.
Published: (2024)

Probing the Lack of Stable Internal Beliefs in LLMs
by: Luo, Yifan, et al.
Published: (2026)

Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation
by: Yuan, Dun, et al.
Published: (2025)

UniKnow: A Unified Framework for Reliable Language Model Behavior across Parametric and External Knowledge
by: Kim, Youna, et al.
Published: (2025)

Probing Internal Representations of Multi-Word Verbs in Large Language Models
by: Kissane, Hassane, et al.
Published: (2025)

Unveiling Effective In-Context Configurations for Image Captioning: An External & Internal Analysis
by: Li, Li, et al.
Published: (2025)

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
by: Ren, Ruiyang, et al.
Published: (2023)

Evaluating the External and Parametric Knowledge Fusion of Large Language Models
by: Zhang, Hao, et al.
Published: (2024)

Thrust: Adaptively Propels Large Language Models with External Knowledge
by: Zhao, Xinran, et al.
Published: (2023)

Exploring the Capability Boundaries of LLMs in Mastering of Chinese Chouxiang Language
by: Lin, Dianqing, et al.
Published: (2026)

Chinese Word Boundary Recovery through Character Alignment Projection
by: Wang, Lusha, et al.
Published: (2026)

Probing Language Models on Their Knowledge Source
by: Tighidet, Zineddine, et al.
Published: (2024)

Think-with-Rubrics: From External Evaluator to Internal Reasoning Guidance
by: Yu, Jiachen, et al.
Published: (2026)

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
by: Li, Lei, et al.
Published: (2025)

WenyanGPT: A Large Language Model for Classical Chinese Tasks
by: Yao, Xinyu, et al.
Published: (2025)

Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning
by: Yu, Haiyang, et al.
Published: (2025)