MergeBench: A Benchmark for Merging Domain-Specialized LLMs
Fuente:
arXiv
Guardado en:
| Autores principales: | He, Yifei, Zeng, Siqi, Hu, Yuzheng, Yang, Rui, Zhang, Tong, Zhao, Han |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
por: He, Yifei, et al.
Publicado: (2024)
por: He, Yifei, et al.
Publicado: (2024)
Channel Merging: Preserving Specialization for Merged Experts
por: Zhang, Mingyang, et al.
Publicado: (2024)
por: Zhang, Mingyang, et al.
Publicado: (2024)
DC-Merge: Improving Model Merging with Directional Consistency
por: Zhang, Han-Chen, et al.
Publicado: (2026)
por: Zhang, Han-Chen, et al.
Publicado: (2026)
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
por: Tang, Anke, et al.
Publicado: (2025)
por: Tang, Anke, et al.
Publicado: (2025)
MergeMoE: Efficient Compression of MoE Models via Expert Output Merging
por: Miao, Ruijie, et al.
Publicado: (2025)
por: Miao, Ruijie, et al.
Publicado: (2025)
EMR-Merging: Tuning-Free High-Performance Model Merging
por: Huang, Chenyu, et al.
Publicado: (2024)
por: Huang, Chenyu, et al.
Publicado: (2024)
PSO-Merging: Merging Models Based on Particle Swarm Optimization
por: Zhang, Kehao, et al.
Publicado: (2025)
por: Zhang, Kehao, et al.
Publicado: (2025)
Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
por: Zhang, Bingjie, et al.
Publicado: (2025)
por: Zhang, Bingjie, et al.
Publicado: (2025)
BadMerging: Backdoor Attacks Against Model Merging
por: Zhang, Jinghuai, et al.
Publicado: (2024)
por: Zhang, Jinghuai, et al.
Publicado: (2024)
Merge-Bench: Resolve Merge Conflicts with Large Language Models
por: Schesch, Benedikt, et al.
Publicado: (2026)
por: Schesch, Benedikt, et al.
Publicado: (2026)
MIN-Merging: Merge the Important Neurons for Model Merging
por: Liang, Yunfei
Publicado: (2025)
por: Liang, Yunfei
Publicado: (2025)
FedMerge: Federated Personalization via Model Merging
por: Chen, Shutong, et al.
Publicado: (2025)
por: Chen, Shutong, et al.
Publicado: (2025)
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
por: Kim, Hyo Seo, et al.
Publicado: (2024)
por: Kim, Hyo Seo, et al.
Publicado: (2024)
MergeIT: From Selection to Merging for Efficient Instruction Tuning
por: Cai, Hongyi, et al.
Publicado: (2025)
por: Cai, Hongyi, et al.
Publicado: (2025)
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
por: Ju, Yiming, et al.
Publicado: (2024)
por: Ju, Yiming, et al.
Publicado: (2024)
Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking
por: Zhang, Dengming, et al.
Publicado: (2025)
por: Zhang, Dengming, et al.
Publicado: (2025)
SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
por: Jung, Aecheon, et al.
Publicado: (2024)
por: Jung, Aecheon, et al.
Publicado: (2024)
Orthogonal Model Merging
por: Yang, Sihan, et al.
Publicado: (2026)
por: Yang, Sihan, et al.
Publicado: (2026)
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
por: Chen, Hao Mark, et al.
Publicado: (2025)
por: Chen, Hao Mark, et al.
Publicado: (2025)
Bayesian Model Merging
por: Li, Kaiyang, et al.
Publicado: (2026)
por: Li, Kaiyang, et al.
Publicado: (2026)
Rethinking Layer-wise Model Merging through Chain of Merges
por: Buzzega, Pietro, et al.
Publicado: (2025)
por: Buzzega, Pietro, et al.
Publicado: (2025)
Merge and Guide: Unifying Model Merging and Guided Decoding for Controllable Multi-Objective Generation
por: Xie, Guofu, et al.
Publicado: (2025)
por: Xie, Guofu, et al.
Publicado: (2025)
Merge-of-Thought Distillation
por: Shen, Zhanming, et al.
Publicado: (2025)
por: Shen, Zhanming, et al.
Publicado: (2025)
MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging
por: Wang, Jiapeng, et al.
Publicado: (2026)
por: Wang, Jiapeng, et al.
Publicado: (2026)
Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
por: Chen, Weiyu, et al.
Publicado: (2024)
por: Chen, Weiyu, et al.
Publicado: (2024)
Surrogate Benchmarks for Model Merging Optimization
por: Akizuki, Rio, et al.
Publicado: (2025)
por: Akizuki, Rio, et al.
Publicado: (2025)
MEMIT-Merge: Addressing MEMIT's Key-Value Conflicts in Same-Subject Batch Editing for LLMs
por: Dong, Zilu, et al.
Publicado: (2025)
por: Dong, Zilu, et al.
Publicado: (2025)
Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training
por: Zhou, Wenjie, et al.
Publicado: (2026)
por: Zhou, Wenjie, et al.
Publicado: (2026)
A Hybrid Framework for Spatial Interpolation: Merging Data-driven with Domain Knowledge
por: Zhang, Cong, et al.
Publicado: (2024)
por: Zhang, Cong, et al.
Publicado: (2024)
AdaMerging: Adaptive Model Merging for Multi-Task Learning
por: Yang, Enneng, et al.
Publicado: (2023)
por: Yang, Enneng, et al.
Publicado: (2023)
Merge Now, Regret Later: The Hidden Cost of Model Merging is Adversarial Transferability
por: Gangwal, Ankit, et al.
Publicado: (2025)
por: Gangwal, Ankit, et al.
Publicado: (2025)
CavMerge: Merging K-means Based on Local Log-Concavity
por: Qiao, Zhili, et al.
Publicado: (2026)
por: Qiao, Zhili, et al.
Publicado: (2026)
Merge before Forget: A Single LoRA Continual Learning via Continual Merging
por: Qiao, Fuli, et al.
Publicado: (2025)
por: Qiao, Fuli, et al.
Publicado: (2025)
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
por: Li, Lujun, et al.
Publicado: (2025)
por: Li, Lujun, et al.
Publicado: (2025)
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
por: Sun, Wenju, et al.
Publicado: (2025)
por: Sun, Wenju, et al.
Publicado: (2025)
REAM: Merging Improves Pruning of Experts in LLMs
por: Jha, Saurav, et al.
Publicado: (2026)
por: Jha, Saurav, et al.
Publicado: (2026)
MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging
por: Li, Siyuan, et al.
Publicado: (2025)
por: Li, Siyuan, et al.
Publicado: (2025)
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
por: Yang, Huitong, et al.
Publicado: (2025)
por: Yang, Huitong, et al.
Publicado: (2025)
Training-free Heterogeneous Model Merging
por: Xu, Zhengqi, et al.
Publicado: (2024)
por: Xu, Zhengqi, et al.
Publicado: (2024)
Parameter Competition Balancing for Model Merging
por: Du, Guodong, et al.
Publicado: (2024)
por: Du, Guodong, et al.
Publicado: (2024)
Ejemplares similares
-
Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
por: He, Yifei, et al.
Publicado: (2024) -
Channel Merging: Preserving Specialization for Merged Experts
por: Zhang, Mingyang, et al.
Publicado: (2024) -
DC-Merge: Improving Model Merging with Directional Consistency
por: Zhang, Han-Chen, et al.
Publicado: (2026) -
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
por: Tang, Anke, et al.
Publicado: (2025) -
MergeMoE: Efficient Compression of MoE Models via Expert Output Merging
por: Miao, Ruijie, et al.
Publicado: (2025)