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Model Merging
552 directly classified papers
Papers per year
2003: 1
2004: 1
2005: 1
2009: 1
2010: 1
2011: 1
2013: 1
2015: 1
2016: 1
2017: 3
2018: 14
2019: 13
2020: 32
2021: 36
2022: 37
2023: 58
2024: 126
2025: 182
2026: 42
Papers
Controllable Style Arithmetic with Language Models
ACL 2025
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
NAACL 2025
Temporal Information Retrieval via Time-Specifier Model Merging
ACL 2025
Superficial Self-Improved Reasoners Benefit from Model Merging
EMNLP 2025
Alignment with Fill-In-the-Middle for Enhancing Code Generation
EMNLP 2025
Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity
EMNLP 2025
Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs
EMNLP 2025
GeoEdit: Geometric Knowledge Editing for Large Language Models
EMNLP 2025
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
CVPR 2025
Improve LLM-as-a-Judge Ability as a General Ability
EMNLP 2025
To See a World in a Spark of Neuron: Disentangling Multi-Task Interference for Training-Free Model Merging
EMNLP 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
EMNLP 2025
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
EMNLP 2025
Small Models, Big Results: Achieving Superior Intent Extraction through Decomposition
EMNLP 2025
FuseChat: Knowledge Fusion of Chat Models
EMNLP 2025
Personality Vector: Modulating Personality of Large Language Models by Model Merging
EMNLP 2025
Efficient Compositional Multi-tasking for On-device Large Language Models
EMNLP 2025
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
EMNLP 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
EMNLP 2025
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models
EMNLP 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation
EMNLP 2025
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors
ACL 2025
Transferring Textual Preferences to Vision-Language Understanding through Model Merging
ACL 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging
EMNLP 2025
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