A Systematic Study of In-the-Wild Model Merging for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Hitit, Oğuz Kağan, Girrbach, Leander, Akata, Zeynep |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparse Autoencoders are Topic Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
by: Bini, Massimo, et al.
Published: (2025)
by: Bini, Massimo, et al.
Published: (2025)
Align-then-Unlearn: Embedding Alignment for LLM Unlearning
by: Spohn, Philipp, et al.
Published: (2025)
by: Spohn, Philipp, et al.
Published: (2025)
Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
APM: Evaluating Style Personalization in LLMs with Arbitrary Preference Mappings
by: Spohn, Philipp, et al.
Published: (2026)
by: Spohn, Philipp, et al.
Published: (2026)
Reference-Free Rating of LLM Responses via Latent Information
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
by: Bader, Jessica, et al.
Published: (2025)
by: Bader, Jessica, et al.
Published: (2025)
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
by: Girrbach, Leander, et al.
Published: (2024)
by: Girrbach, Leander, et al.
Published: (2024)
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models
by: Girrbach, Leander, et al.
Published: (2025)
by: Girrbach, Leander, et al.
Published: (2025)
How to Merge Your Multimodal Models Over Time?
by: Dziadzio, Sebastian, et al.
Published: (2024)
by: Dziadzio, Sebastian, et al.
Published: (2024)
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
by: Bini, Massimo, et al.
Published: (2024)
by: Bini, Massimo, et al.
Published: (2024)
Model Merging in Pre-training of Large Language Models
by: Li, Yunshui, et al.
Published: (2025)
by: Li, Yunshui, et al.
Published: (2025)
Arcee's MergeKit: A Toolkit for Merging Large Language Models
by: Goddard, Charles, et al.
Published: (2024)
by: Goddard, Charles, et al.
Published: (2024)
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
by: Morrison, Jacob, et al.
Published: (2024)
by: Morrison, Jacob, et al.
Published: (2024)
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
by: Thede, Lukas, et al.
Published: (2025)
by: Thede, Lukas, et al.
Published: (2025)
Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers
by: Huang, Yiran, et al.
Published: (2026)
by: Huang, Yiran, et al.
Published: (2026)
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
by: Shenaj, Donald, et al.
Published: (2025)
by: Shenaj, Donald, et al.
Published: (2025)
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
by: Yang, Jinluan, et al.
Published: (2025)
by: Yang, Jinluan, et al.
Published: (2025)
Merging Methods for Multilingual Knowledge Editing for Large Language Models: An Empirical Odyssey
by: Lee, Kunil, et al.
Published: (2026)
by: Lee, Kunil, et al.
Published: (2026)
EvoMerge: Neuroevolution for Large Language Models
by: Jiang, Yushu
Published: (2024)
by: Jiang, Yushu
Published: (2024)
Efficacy of Large Language Models in Systematic Reviews
by: Shah, Aaditya, et al.
Published: (2024)
by: Shah, Aaditya, et al.
Published: (2024)
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences
by: Wu, Shuchen, et al.
Published: (2024)
by: Wu, Shuchen, et al.
Published: (2024)
Dataless Knowledge Fusion by Merging Weights of Language Models
by: Jin, Xisen, et al.
Published: (2022)
by: Jin, Xisen, et al.
Published: (2022)
Are Reasoning LLMs Robust to Interventions on Their Chain-of-Thought?
by: von Recum, Alexander, et al.
Published: (2026)
by: von Recum, Alexander, et al.
Published: (2026)
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
by: Kim, Sanghwan, et al.
Published: (2024)
by: Kim, Sanghwan, et al.
Published: (2024)
Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study
by: Paul, Rakesh, et al.
Published: (2025)
by: Paul, Rakesh, et al.
Published: (2025)
Data-driven Clustering and Merging of Adapters for On-device Large Language Models
by: Bohdal, Ondrej, et al.
Published: (2026)
by: Bohdal, Ondrej, et al.
Published: (2026)
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
by: Saha, Swarnadeep, et al.
Published: (2023)
by: Saha, Swarnadeep, et al.
Published: (2023)
Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)
by: An, Yongqi, et al.
Published: (2025)
LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge
by: Rayhan, Naheed, et al.
Published: (2025)
by: Rayhan, Naheed, et al.
Published: (2025)
Merging Language and Domain Specific Models: The Impact on Technical Vocabulary Acquisition
by: Rousset, Thibault, et al.
Published: (2025)
by: Rousset, Thibault, et al.
Published: (2025)
Context-Aware Multimodal Pretraining
by: Roth, Karsten, et al.
Published: (2024)
by: Roth, Karsten, et al.
Published: (2024)
Exploring Model Kinship for Merging Large Language Models
by: Hu, Yedi, et al.
Published: (2024)
by: Hu, Yedi, et al.
Published: (2024)
Fisher Mask Nodes for Language Model Merging
by: K, Thennal D, et al.
Published: (2024)
by: K, Thennal D, et al.
Published: (2024)
Structural Pruning of Large Vision Language Models: A Comprehensive Study on Pruning Dynamics, Recovery, and Data Efficiency
by: Huang, Yiran, et al.
Published: (2026)
by: Huang, Yiran, et al.
Published: (2026)
SeMe: Training-Free Language Model Merging via Semantic Alignment
by: Gu, Jian, et al.
Published: (2025)
by: Gu, Jian, et al.
Published: (2025)
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging
by: Na, Clara, et al.
Published: (2024)
by: Na, Clara, et al.
Published: (2024)
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild
by: Zhao, Xinyu, et al.
Published: (2024)
by: Zhao, Xinyu, et al.
Published: (2024)
MemLoRA: Distilling Expert Adapters for On-Device Memory Systems
by: Bini, Massimo, et al.
Published: (2025)
by: Bini, Massimo, et al.
Published: (2025)
A Systematic Survey on Large Language Models for Algorithm Design
by: Liu, Fei, et al.
Published: (2024)
by: Liu, Fei, et al.
Published: (2024)
Similar Items
-
Sparse Autoencoders are Topic Models
by: Girrbach, Leander, et al.
Published: (2025) -
DeLoRA: Decoupling Angles and Strength in Low-rank Adaptation
by: Bini, Massimo, et al.
Published: (2025) -
Align-then-Unlearn: Embedding Alignment for LLM Unlearning
by: Spohn, Philipp, et al.
Published: (2025) -
Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
by: Girrbach, Leander, et al.
Published: (2025) -
APM: Evaluating Style Personalization in LLMs with Arbitrary Preference Mappings
by: Spohn, Philipp, et al.
Published: (2026)