Merging Methods for Multilingual Knowledge Editing for Large Language Models: An Empirical Odyssey
Fuente:
arXiv
Guardado en:
| Autores principales: | Lee, Kunil, Shin, Ki-Young, Lee, Jong-Hyeok, Suh, Young-Joo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Model Merging for Knowledge Editing
por: Fu, Zichuan, et al.
Publicado: (2025)
por: Fu, Zichuan, et al.
Publicado: (2025)
Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
por: Cho, Seungho, et al.
Publicado: (2025)
por: Cho, Seungho, et al.
Publicado: (2025)
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
por: Chua, Lynn, et al.
Publicado: (2024)
por: Chua, Lynn, et al.
Publicado: (2024)
Radio: Rate-Distortion Optimization for Large Language Model Compression
por: Young, Sean I.
Publicado: (2025)
por: Young, Sean I.
Publicado: (2025)
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
por: Shin, Sungbin, et al.
Publicado: (2024)
por: Shin, Sungbin, et al.
Publicado: (2024)
Foundations of Large Language Model Compression -- Part 1: Weight Quantization
por: Young, Sean I.
Publicado: (2024)
por: Young, Sean I.
Publicado: (2024)
Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target Propagation
por: Jantsch, Lasse Marten, et al.
Publicado: (2026)
por: Jantsch, Lasse Marten, et al.
Publicado: (2026)
Dataless Knowledge Fusion by Merging Weights of Language Models
por: Jin, Xisen, et al.
Publicado: (2022)
por: Jin, Xisen, et al.
Publicado: (2022)
Knowledge Editing on Black-box Large Language Models
por: Song, Xiaoshuai, et al.
Publicado: (2024)
por: Song, Xiaoshuai, et al.
Publicado: (2024)
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models
por: Lee, Joseph, et al.
Publicado: (2024)
por: Lee, Joseph, et al.
Publicado: (2024)
Model Merging in Pre-training of Large Language Models
por: Li, Yunshui, et al.
Publicado: (2025)
por: Li, Yunshui, et al.
Publicado: (2025)
Knowledge Divergence and the Value of Debate for Scalable Oversight
por: Young, Robin
Publicado: (2026)
por: Young, Robin
Publicado: (2026)
Sequence-Level Leakage Risk of Training Data in Large Language Models
por: Tiwari, Trishita, et al.
Publicado: (2024)
por: Tiwari, Trishita, et al.
Publicado: (2024)
Data-driven Clustering and Merging of Adapters for On-device Large Language Models
por: Bohdal, Ondrej, et al.
Publicado: (2026)
por: Bohdal, Ondrej, et al.
Publicado: (2026)
LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge
por: Rayhan, Naheed, et al.
Publicado: (2025)
por: Rayhan, Naheed, et al.
Publicado: (2025)
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
por: Lee, Heejun, et al.
Publicado: (2025)
por: Lee, Heejun, et al.
Publicado: (2025)
A Systematic Study of In-the-Wild Model Merging for Large Language Models
por: Hitit, Oğuz Kağan, et al.
Publicado: (2025)
por: Hitit, Oğuz Kağan, et al.
Publicado: (2025)
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
por: Veldanda, Akshaj Kumar, et al.
Publicado: (2024)
por: Veldanda, Akshaj Kumar, et al.
Publicado: (2024)
Empirical Analysis of Efficient Fine-Tuning Methods for Large Pre-Trained Language Models
por: Doering, Nigel, et al.
Publicado: (2024)
por: Doering, Nigel, et al.
Publicado: (2024)
Arcee's MergeKit: A Toolkit for Merging Large Language Models
por: Goddard, Charles, et al.
Publicado: (2024)
por: Goddard, Charles, et al.
Publicado: (2024)
Robust and Scalable Model Editing for Large Language Models
por: Chen, Yingfa, et al.
Publicado: (2024)
por: Chen, Yingfa, et al.
Publicado: (2024)
Editing Conceptual Knowledge for Large Language Models
por: Wang, Xiaohan, et al.
Publicado: (2024)
por: Wang, Xiaohan, et al.
Publicado: (2024)
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
por: Morrison, Jacob, et al.
Publicado: (2024)
por: Morrison, Jacob, et al.
Publicado: (2024)
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models
por: Jung, Sunghee, et al.
Publicado: (2025)
por: Jung, Sunghee, et al.
Publicado: (2025)
EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models
por: Lee, Che Hyun, et al.
Publicado: (2025)
por: Lee, Che Hyun, et al.
Publicado: (2025)
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
por: Fu, Yao, et al.
Publicado: (2024)
por: Fu, Yao, et al.
Publicado: (2024)
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
por: Shenaj, Donald, et al.
Publicado: (2025)
por: Shenaj, Donald, et al.
Publicado: (2025)
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models
por: Hengle, Amey, et al.
Publicado: (2024)
por: Hengle, Amey, et al.
Publicado: (2024)
How Multilingual Are Large Language Models Fine-Tuned for Translation?
por: Richburg, Aquia, et al.
Publicado: (2024)
por: Richburg, Aquia, et al.
Publicado: (2024)
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
por: Kim, Jaekyeom, et al.
Publicado: (2024)
por: Kim, Jaekyeom, et al.
Publicado: (2024)
Unveiling the Pitfalls of Knowledge Editing for Large Language Models
por: Li, Zhoubo, et al.
Publicado: (2023)
por: Li, Zhoubo, et al.
Publicado: (2023)
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
por: Lee, Gihun, et al.
Publicado: (2024)
por: Lee, Gihun, et al.
Publicado: (2024)
Massive Editing for Large Language Models via Meta Learning
por: Tan, Chenmien, et al.
Publicado: (2023)
por: Tan, Chenmien, et al.
Publicado: (2023)
LLMs Are Already Good Tutors: Training-Free Prompt Optimization for Pedagogical Math Tutoring
por: Lee, Unggi, et al.
Publicado: (2026)
por: Lee, Unggi, et al.
Publicado: (2026)
Modifying Large Language Model Post-Training for Diverse Creative Writing
por: Chung, John Joon Young, et al.
Publicado: (2025)
por: Chung, John Joon Young, et al.
Publicado: (2025)
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
por: Yang, Jinluan, et al.
Publicado: (2025)
por: Yang, Jinluan, et al.
Publicado: (2025)
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models
por: Lee, Donghyun, et al.
Publicado: (2024)
por: Lee, Donghyun, et al.
Publicado: (2024)
Personalizing Large Language Models using Retrieval Augmented Generation and Knowledge Graph
por: Prahlad, Deeksha, et al.
Publicado: (2025)
por: Prahlad, Deeksha, et al.
Publicado: (2025)
Orion-14B: Open-source Multilingual Large Language Models
por: Chen, Du, et al.
Publicado: (2024)
por: Chen, Du, et al.
Publicado: (2024)
Conflict-Resolving and Sharpness-Aware Minimization for Generalized Knowledge Editing with Multiple Updates
por: Nguyen, Duy, et al.
Publicado: (2026)
por: Nguyen, Duy, et al.
Publicado: (2026)
Ejemplares similares
-
Model Merging for Knowledge Editing
por: Fu, Zichuan, et al.
Publicado: (2025) -
Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models
por: Cho, Seungho, et al.
Publicado: (2025) -
Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models
por: Chua, Lynn, et al.
Publicado: (2024) -
Radio: Rate-Distortion Optimization for Large Language Model Compression
por: Young, Sean I.
Publicado: (2025) -
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
por: Shin, Sungbin, et al.
Publicado: (2024)