{"total":28,"rows":[{"id":"2408.07666","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","created":"2024-08-14","cited_by_count":254,"area":null},{"id":"2410.02396","title":"Parameter Competition Balancing for Model Merging","created":"2024-10-03","cited_by_count":72,"area":null},{"id":"2407.02447","title":"PLeaS -- Merging Models with Permutations and Least Squares","created":"2024-07-02","cited_by_count":16,"area":null},{"id":"2410.14389","title":"SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery","created":"2024-10-18","cited_by_count":12,"area":null},{"id":"2411.16746","title":"LoBAM: LoRA-Based Backdoor Attack on Model Merging","created":"2024-11-23","cited_by_count":12,"area":null},{"id":"2502.12706","title":"Scalable Model Merging with Progressive Layer-wise Distillation","created":"2025-02-18","cited_by_count":10,"area":null},{"id":"2410.05357","title":"Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild","created":"2024-10-07","cited_by_count":9,"area":null},{"id":"2501.00061","title":"Training-free Heterogeneous Model Merging","created":"2024-12-29","cited_by_count":6,"area":null},{"id":"2507.04790","title":"Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning","created":"2025-07-07","cited_by_count":5,"area":null},{"id":"2504.10902","title":"Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs","created":"2025-04-15","cited_by_count":4,"area":null},{"id":"2603.26317","title":"Label-Free Cross-Task LoRA Merging with Null-Space Compression","created":"2026-03-27","cited_by_count":4,"area":null},{"id":"2410.04801","title":"Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineering","created":"2024-10-07","cited_by_count":2,"area":null},{"id":"2410.12613","title":"Exploring Model Kinship for Merging Large Language Models","created":"2024-10-16","cited_by_count":2,"area":null},{"id":"2512.19320","title":"MAGIC: Achieving Superior Model Merging via Magnitude Calibration","created":"2025-12-22","cited_by_count":2,"area":null},{"id":"2603.05768","title":"Bridging Domains through Subspace-Aware Model Merging","created":"2026-03-06","cited_by_count":2,"area":null},{"id":"2603.26299","title":"Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy","created":"2026-03-27","cited_by_count":2,"area":null},{"id":"2504.10141","title":"The Impact of Model Zoo Size and Composition on Weight Space Learning","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2505.23651","title":"Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2506.18135","title":"SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging","created":"2025-06-22","cited_by_count":1,"area":null},{"id":"2603.29368","title":"StereoVGGT: A Training-Free Visual Geometry Transformer for Stereo Vision","created":"2026-03-31","cited_by_count":1,"area":null},{"id":"2605.22350","title":"Partial Fusion of Neural Networks: Efficient Tradeoffs Between Ensembles and Weight Aggregation","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2607.19971","title":"Unified Prediction and Planning via Conflict-Aware Disjoint Parameter Training","created":"2026-07-22","cited_by_count":1,"area":null},{"id":"2510.17890","title":"MIN-Merging: Merge the Important Neurons for Model Merging","created":"2025-10-18","cited_by_count":0,"area":null},{"id":"2601.01753","title":"MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation","created":"2026-01-05","cited_by_count":0,"area":null},{"id":"2602.19332","title":"Training-Free Cross-Architecture Merging for Graph Neural Networks","created":"2026-02-22","cited_by_count":0,"area":null},{"id":"2603.05957","title":"Domain-Adaptive Model Merging Across Disconnected Modes","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2605.08311","title":"Revitalizing the Beginning: Avoiding Storage Dependency for Model Merging in Continual Learning","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2610.03199","title":"Predicting and Repairing Merge Collapse in Large Language Models","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}