Cover Image

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Taolin, Chen, Qizhou, Li, Dongyang, Wang, Chengyu, He, Xiaofeng, Huang, Longtao, Xue, Hui, Huang, Jun
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models
by: Zhang, Taolin, et al.
Published: (2024)

Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning
by: Chen, Qizhou, et al.
Published: (2024)

An Information-Theoretic Framework for Robust Large Language Model Editing
by: Chen, Qizhou, et al.
Published: (2025)

QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs
by: Zhang, Taolin, et al.
Published: (2025)

KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning
by: Li, Dongyang, et al.
Published: (2024)

UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
by: Li, Dongyang, et al.
Published: (2024)

UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models
by: Chen, Qizhou, et al.
Published: (2025)

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering
by: Zhang, Taolin, et al.
Published: (2025)

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
by: Chen, Qizhou, et al.
Published: (2024)

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models
by: Yan, Junbing, et al.
Published: (2024)

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
by: Chen, Qizhou, et al.
Published: (2024)

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models
by: Li, Dongyang, et al.
Published: (2024)

AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering
by: Zhang, Taolin, et al.
Published: (2026)

A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions
by: Wang, Chengyu, et al.
Published: (2025)

Taming "Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
by: Zhang, Taolin, et al.
Published: (2026)

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration
by: Ren, Shaola, et al.
Published: (2025)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
by: Yuan, Xiaohan, et al.
Published: (2024)

Neuron-Level Sequential Editing for Large Language Models
by: Jiang, Houcheng, et al.
Published: (2024)

Do Large Language Models Understand Logic or Just Mimick Context?
by: Yan, Junbing, et al.
Published: (2024)

On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models
by: Cao, Ding, et al.
Published: (2025)

Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning
by: Yue, Yuanhao, et al.
Published: (2024)

CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
by: Chen, Qian, et al.
Published: (2023)

From Correction to Mastery: Reinforced Distillation of Large Language Model Agents
by: Lyu, Yuanjie, et al.
Published: (2025)

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models
by: Lin, Zihao, et al.
Published: (2024)

The Labyrinth and the Thread: Rethinking Regularizations in Sequential Knowledge Editing for Large Language Models
by: Wang, Zheng, et al.
Published: (2026)

Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains
by: Zhang, Taolin, et al.
Published: (2026)

Perturbation-Restrained Sequential Model Editing
by: Ma, Jun-Yu, et al.
Published: (2024)

YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models
by: Lin, Junyu, et al.
Published: (2026)

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

Constraining Sequential Model Editing with Editing Anchor Compression
by: Xu, Hao-Xiang, et al.
Published: (2025)

LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing
by: Wang, Peng, et al.
Published: (2025)

DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models
by: Wang, Chengyu, et al.
Published: (2025)

Neighboring Perturbations of Knowledge Editing on Large Language Models
by: Ma, Jun-Yu, et al.
Published: (2024)

Coding Triangle: How Does Large Language Model Understand Code?
by: Zhang, Taolin, et al.
Published: (2025)

Concept Based Continuous Prompts for Interpretable Text Classification
by: Chen, Qian, et al.
Published: (2024)

Editing Personality for Large Language Models
by: Mao, Shengyu, et al.
Published: (2023)

Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models
by: Hsueh, Cheng-Hsun, et al.
Published: (2024)

O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing
by: Cai, Yuchen, et al.
Published: (2024)

ProFuser: Progressive Fusion of Large Language Models
by: Shi, Tianyuan, et al.
Published: (2024)

Mechanistic Circuit-Based Knowledge Editing in Large Language Models
by: Zhao, Tianyi, et al.
Published: (2026)