Cover Image

Neural Incompatibility: The Unbridgeable Gap of Cross-Scale Parametric Knowledge Transfer in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Yuqiao, He, Shizhu, Liu, Kang, Zhao, Jun
Format:	Preprint
Published:	2025
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

Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
by: Tan, Yuqiao, et al.
Published: (2025)

The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models
by: Tan, Yuqiao, et al.
Published: (2025)

ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook
by: Sun, Wangtao, et al.
Published: (2023)

Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model
by: Xia, Fei, et al.
Published: (2024)

From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
by: Tan, Yuqiao, et al.
Published: (2026)

ItD: Large Language Models Can Teach Themselves Induction through Deduction
by: Sun, Wangtao, et al.
Published: (2024)

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
by: Zhong, Ming, et al.
Published: (2023)

Efficient Data Learning for Open Information Extraction with Pre-trained Language Models
by: Fan, Zhiyuan, et al.
Published: (2023)

ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning
by: Liao, Huanxuan, et al.
Published: (2026)

LLaSA: Large Language and Structured Data Assistant
by: Xu, Yao, et al.
Published: (2024)

Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
by: Sun, Wangtao, et al.
Published: (2024)

DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
by: Huang, Yiming, et al.
Published: (2024)

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
by: Xia, Fei, et al.
Published: (2022)

Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts
by: Bandarkar, Lucas, et al.
Published: (2026)

Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
by: Xu, Yao, et al.
Published: (2024)

DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
by: Liao, Huanxuan, et al.
Published: (2025)

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
by: Liu, Jiaxiang, 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)

Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)

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

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

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

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
by: Fan, Tao, et al.
Published: (2024)

Towards Atoms of Large Language Models
by: Hu, Chenhui, et al.
Published: (2025)

Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns
by: Li, Xiang, et al.
Published: (2025)

LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
by: Li, Jiachun, et al.
Published: (2024)

Do Large Language Models Know Conflict? Investigating Parametric vs. Non-Parametric Knowledge of LLMs for Conflict Forecasting
by: Nemkova, Apollinaire Poli, et al.
Published: (2025)

WideSeek: Advancing Wide Research via Multi-Agent Scaling
by: Huang, Ziyang, et al.
Published: (2026)

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
by: Jin, Zhuoran, et al.
Published: (2024)

Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
by: Jung, Haeji, et al.
Published: (2024)

Cross-Lingual Knowledge Editing in Large Language Models
by: Wang, Jiaan, et al.
Published: (2023)

A Multifaceted Analysis of Negative Bias in Large Language Models through the Lens of Parametric Knowledge
by: Song, Jongyoon, et al.
Published: (2025)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model
by: Wang, Yan, et al.
Published: (2025)

Cross-Modal Knowledge Distillation for Speech Large Language Models
by: Wang, Enzhi, et al.
Published: (2025)

Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation
by: Zhou, Jiang, et al.
Published: (2026)

ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model
by: Yu, Xuanqing, et al.
Published: (2024)

Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
by: He, Zhitao, et al.
Published: (2024)

Generating Tables from the Parametric Knowledge of Language Models
by: Berkovitch, Yevgeni, et al.
Published: (2024)