model merging

Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy CVPR 2026 RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior AAAI 2026 ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging ACL 2026 RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation AAAI 2026 Revisiting Model Interpolation for Efficient Reasoning ACL 2026 Why Do More Experts Fail? A Theoretical Analysis of Model Merging ACL 2026 3DM: Distill, Dynamic Drop, and Merge for Debiasing Multi-modal Large Language Models ACL 2025 AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization CVPR 2025 Adaptive LoRA Merge with Parameter Pruning for Low-Resource Generation ACL 2025 Agent Skill Acquisition for Large Language Models via CycleQD ICLR 2025 AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025 A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment ACL 2025 Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods ICLR 2025 Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models Interspeech 2025 Analyzing the Role of Permutation Invariance in Linear Mode Connectivity AISTATS 2025 A Pipeline to Assess Merging Methods via Behavior and Internals EMNLP 2025 Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation ACL 2025 AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025 AutoMixer: Checkpoint Artifacts as Automatic Data Mixers ACL 2025 BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge ICLR 2025 BECAME: Bayesian Continual Learning with Adaptive Model Merging ICML 2025 Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy ACL 2025 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Breaking Boundaries: Investigating the Effects of Model Editing on Cross-linguistic Performance NAACL 2025 Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization IJCNLP 2025