:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Yao, Zihan, He, Yu, Qi, Tianyu, Li, Ming
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2404.02699
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LMCD: Language Models are Zeroshot Cognitive Diagnosis Learners
por: He, Yu, et al.
Publicado: (2025)

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
por: Tu, Zeao, et al.
Publicado: (2024)

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models
por: Wang, Zihan, et al.
Publicado: (2025)

MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors
por: Wang, Renzhi, et al.
Publicado: (2024)

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

Scalable Training of Mixture-of-Experts Models with Megatron Core
por: Yan, Zijie, et al.
Publicado: (2026)

Pruning General Large Language Models into Customized Expert Models
por: Zhao, Yirao, et al.
Publicado: (2025)

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
por: Gu, Yiyang, et al.
Publicado: (2026)

Robust and Scalable Model Editing for Large Language Models
por: Chen, Yingfa, et al.
Publicado: (2024)

LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models
por: Wang, Renzhi, et al.
Publicado: (2024)

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

On the Robustness of Knowledge Editing for Detoxification
por: Dong, Ming, et al.
Publicado: (2026)

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models
por: Ye, Rongguang, et al.
Publicado: (2025)

Reinforced Strategy Optimization for Conversational Recommender Systems via Network-of-Experts
por: Zhao, Xiaoyan, et al.
Publicado: (2025)

ChatPattern: Layout Pattern Customization via Natural Language
por: Wang, Zixiao, et al.
Publicado: (2024)

Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models
por: Guo, Hongcheng, et al.
Publicado: (2025)

Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
por: Wang, Zihan, et al.
Publicado: (2024)

Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization
por: Bao, Yuntai, et al.
Publicado: (2025)

A Closer Look into Mixture-of-Experts in Large Language Models
por: Lo, Ka Man, et al.
Publicado: (2024)

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
por: Liu, Tianci, et al.
Publicado: (2025)

Hybrid and Unitary PEFT for Resource-Efficient Large Language Models
por: Qi, Haomin, et al.
Publicado: (2025)

Reverse-Engineering Model Editing on Language Models
por: Sun, Zhiyu, et al.
Publicado: (2026)

Energy-Regularized Sequential Model Editing on Hyperspheres
por: Liu, Qingyuan, et al.
Publicado: (2025)

Unveiling Super Experts in Mixture-of-Experts Large Language Models
por: Su, Zunhai, et al.
Publicado: (2025)

Benchmarking and Learning Real-World Customer Service Dialogue
por: Gao, Tianhong, et al.
Publicado: (2025)

Scalable Multi-Domain Adaptation of Language Models using Modular Experts
por: Schafhalter, Peter, et al.
Publicado: (2024)

GeoEdit: Geometric Knowledge Editing for Large Language Models
por: Feng, Yujie, et al.
Publicado: (2025)

FAME: Towards Factual Multi-Task Model Editing
por: Zeng, Li, et al.
Publicado: (2024)

Layerwise Recurrent Router for Mixture-of-Experts
por: Qiu, Zihan, et al.
Publicado: (2024)

Are Expert-Level Language Models Expert-Level Annotators?
por: Tseng, Yu-Min, et al.
Publicado: (2024)

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
por: Zheng, Jiamu, et al.
Publicado: (2024)

Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances
por: Singh, Rishu Kumar, et al.
Publicado: (2025)

SciDFM: A Large Language Model with Mixture-of-Experts for Science
por: Sun, Liangtai, et al.
Publicado: (2024)

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

Diagnosing Model Editing via Knowledge Spectrum
por: Pan, Tsung-Hsuan, et al.
Publicado: (2025)

Rethinking Residual Distribution in Locate-then-Edit Model Editing
por: Li, Xiaopeng, et al.
Publicado: (2025)

MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts
por: Yu, Haofei, et al.
Publicado: (2023)

EAMET: Robust Massive Model Editing via Embedding Alignment Optimization
por: Dai, Yanbo, et al.
Publicado: (2025)

ReXMoE: Reusing Experts with Minimal Overhead in Mixture-of-Experts
por: Tan, Zheyue, et al.
Publicado: (2025)

The Mirage of Model Editing: Revisiting Evaluation in the Wild
por: Yang, Wanli, et al.
Publicado: (2025)