Model Merging

CAMEx: Curvature-aware Merging of Experts ICLR 2025 Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning NAACL 2025 Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models ACL 2025 CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts NAACL 2025 Catalyst at BLP-2025 Task 1: Transformer Ensembles and Multi-task Learning Approaches for Bangla Hate Speech Detection AACL 2025 Channel Merging: Preserving Specialization for Merged Experts AAAI 2025 CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance AAAI 2025 Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning ICLR 2025 cocoa at SemEval-2025 Task 10: Prompting vs. Fine-Tuning: A Multilevel Approach to Propaganda Classification SemEval 2025 Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models ACL 2025 CollabEdit: Towards Non-destructive Collaborative Knowledge Editing ICLR 2025 Combining Domain and Alignment Vectors Provides Better Knowledge-Safety Trade-offs in LLMs ACL 2025 CoMoE: Contrastive Representation for Mixture-of-Experts in Parameter-Efficient Fine-tuning EMNLP 2025 Composable Cross-prompt Essay Scoring by Merging Models EMNLP 2025 Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation ICCV 2025 Controllable Style Arithmetic with Language Models ACL 2025 Convolutional LoRA Aggregation for Unseen Tasks Adaptation EMNLP 2025 Cool-Fusion: Fuse Large Language Models without Training ACL 2025 Creative Preference Optimization EMNLP 2025 CUET-NLP_Zenith at BLP-2025 Task 1: A Multi-Task Ensemble Approach for Detecting Hate Speech in Bengali YouTube Comments AACL 2025 Cut the Deadwood Out: Backdoor Purification via Guided Module Substitution EMNLP 2025 DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025 DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation ICLR 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy ICCV 2025