{"total":73,"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":"2310.02575","title":"AdaMerging: Adaptive Model Merging for Multi-Task Learning","created":"2023-10-04","cited_by_count":252,"area":null},{"id":"2401.01286","title":"A Comprehensive Study of Knowledge Editing for Large Language Models","created":"2024-01-02","cited_by_count":163,"area":null},{"id":"2402.02705","title":"Representation Surgery for Multi-Task Model Merging","created":"2024-02-05","cited_by_count":96,"area":null},{"id":"2502.04959","title":"No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces","created":"2025-02-07","cited_by_count":96,"area":null},{"id":"2502.18036","title":"Harnessing Multiple Large Language Models: A Survey on LLM Ensemble","created":"2025-02-25","cited_by_count":86,"area":null},{"id":"2410.02396","title":"Parameter Competition Balancing for Model Merging","created":"2024-10-03","cited_by_count":72,"area":null},{"id":"2310.04742","title":"Parameter Efficient Multi-task Model Fusion with Partial Linearization","created":"2023-10-07","cited_by_count":65,"area":null},{"id":"2501.01230","title":"Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent","created":"2025-01-02","cited_by_count":39,"area":null},{"id":"2403.01753","title":"Training-Free Pretrained Model Merging","created":"2024-03-04","cited_by_count":32,"area":null},{"id":"2412.12153","title":"Revisiting Weight Averaging for Model Merging","created":"2024-12-11","cited_by_count":25,"area":null},{"id":"2406.16330","title":"Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging","created":"2024-06-24","cited_by_count":19,"area":null},{"id":"2405.16350","title":"A Second-Order Perspective on Model Compositionality and Incremental Learning","created":"2024-05-25","cited_by_count":18,"area":null},{"id":"2412.18219","title":"Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning","created":"2024-12-24","cited_by_count":18,"area":null},{"id":"2502.00264","title":"Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion","created":"2025-02-01","cited_by_count":16,"area":null},{"id":"2504.14662","title":"Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning","created":"2025-04-20","cited_by_count":16,"area":null},{"id":"2506.22712","title":"Generalized Linear Mode Connectivity for Transformers","created":"2025-06-28","cited_by_count":16,"area":null},{"id":"2406.03280","title":"FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion","created":"2024-06-05","cited_by_count":13,"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":"2507.10540","title":"FusionFactory: Fusing LLM Capabilities with Multi-LLM Log Data","created":"2025-07-14","cited_by_count":10,"area":null},{"id":"2311.13186","title":"Applications of Spiking Neural Networks in Visual Place Recognition","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2410.01866","title":"House of Cards: Massive Weights in LLMs","created":"2024-10-02","cited_by_count":9,"area":null},{"id":"2503.22178","title":"AdaRank: Adaptive Rank Pruning for Enhanced Model Merging","created":"2025-03-28","cited_by_count":9,"area":null},{"id":"2404.07815","title":"Post-Hoc Reversal: Are We Selecting Models Prematurely?","created":"2024-04-11","cited_by_count":8,"area":null},{"id":"2405.00984","title":"FREE: Faster and Better Data-Free Meta-Learning","created":"2024-05-02","cited_by_count":8,"area":null},{"id":"2409.18893","title":"HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models","created":"2024-09-27","cited_by_count":8,"area":null},{"id":"2411.09263","title":"Rethinking Weight-Averaged Model-merging","created":"2024-11-14","cited_by_count":8,"area":null},{"id":"2503.01874","title":"CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging","created":"2025-02-26","cited_by_count":8,"area":null},{"id":"2505.18502","title":"Knowledge Fusion of Large Language Models Via Modular SkillPacks","created":"2025-05-24","cited_by_count":8,"area":null},{"id":"2603.06242","title":"DC-Merge: Improving Model Merging with Directional Consistency","created":"2026-03-06","cited_by_count":8,"area":null},{"id":"2402.01342","title":"Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors","created":"2024-02-02","cited_by_count":7,"area":null},{"id":"2505.22389","title":"Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning","created":"2025-05-28","cited_by_count":7,"area":null},{"id":"2601.22285","title":"Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success","created":"2026-01-29","cited_by_count":7,"area":null},{"id":"2602.05495","title":"Transport and Merge: Cross-Architecture Merging for Large Language Models","created":"2026-02-05","cited_by_count":7,"area":null},{"id":"2509.01548","title":"Model Unmerging: Making Your Models Unmergeable for Secure Model Sharing","created":"2025-09-01","cited_by_count":6,"area":null},{"id":"2403.11646","title":"MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks","created":"2024-03-18","cited_by_count":5,"area":null},{"id":"2410.23660","title":"Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning","created":"2024-10-31","cited_by_count":5,"area":null},{"id":"2511.21437","title":"A Systematic Study of In-the-Wild Model Merging for Large Language Models","created":"2025-11-26","cited_by_count":5,"area":null},{"id":"2505.21571","title":"FCOS: A Two-Stage Recoverable Model Pruning Framework for Automatic Modulation Recognition","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2510.09724","title":"InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation","created":"2025-10-10","cited_by_count":4,"area":null},{"id":"2409.19854","title":"The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging","created":"2024-09-30","cited_by_count":3,"area":null},{"id":"2412.17023","title":"Parameter-Efficient Interventions for Enhanced Model Merging","created":"2024-12-22","cited_by_count":3,"area":null},{"id":"2506.14794","title":"Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors","created":"2025-05-31","cited_by_count":3,"area":null},{"id":"2509.23592","title":"Toward a Holistic Approach to Continual Model Merging","created":"2025-09-28","cited_by_count":3,"area":null},{"id":"2405.21027","title":"Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2408.12237","title":"Weight Scope Alignment: A Frustratingly Easy Method for Model Merging","created":"2024-08-22","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":"2505.15798","title":"Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2601.21624","title":"Training Memory in Deep Neural Networks: Mechanisms, Evidence, and Measurement Gaps","created":"2026-01-29","cited_by_count":2,"area":null},{"id":"2604.01674","title":"Can Heterogeneous Language Models Be Fused?","created":"2026-04-02","cited_by_count":2,"area":null},{"id":"2606.18627","title":"PACT: Preserving Anchored Cores in Task-vectors for Model Merging","created":"2026-06-17","cited_by_count":2,"area":null},{"id":"2607.22039","title":"Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs","created":"2026-07-24","cited_by_count":2,"area":null},{"id":"2312.05432","title":"Fusing Multiple Algorithms for Heterogeneous Online Learning","created":"2023-12-09","cited_by_count":1,"area":null},{"id":"2405.12489","title":"Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks","created":"2024-05-21","cited_by_count":1,"area":null},{"id":"2408.13038","title":"Improving the Classification Effect of Clinical Images of Diseases for Multi-Source Privacy Protection","created":"2024-08-23","cited_by_count":1,"area":null},{"id":"2409.15813","title":"Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2509.10535","title":"Semantic-guided LoRA Parameters Generation","created":"2025-09-05","cited_by_count":1,"area":null},{"id":"2511.10683","title":"LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups","created":"2025-11-11","cited_by_count":1,"area":null},{"id":"2605.19409","title":"Unlocking the Potential of Continual Model Merging: An ODE Perspective","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2410.05746","title":"Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion","created":"2024-10-08","cited_by_count":0,"area":null},{"id":"2411.18220","title":"R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge","created":"2024-11-27","cited_by_count":0,"area":null},{"id":"2503.22747","title":"LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence","created":"2025-03-27","cited_by_count":0,"area":null},{"id":"2506.10988","title":"You Only Train Once: A Flexible Training Framework for Code Vulnerability Detection Driven by Vul-Vector","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2507.23311","title":"Forgetting of task-specific knowledge in model merging-based continual learning","created":"2025-07-31","cited_by_count":0,"area":null},{"id":"2508.12643","title":"Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2508.19839","title":"PSO-Merging: Merging Models Based on Particle Swarm Optimization","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2602.06552","title":"Fine-Grained Model Merging via Modular Expert Recombination","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2602.21372","title":"The Mean is the Mirage: Entropy-Adaptive Model Merging under Heterogeneous Domain Shifts in Medical Imaging","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2606.04378","title":"DLLG: Dynamic Logit-Level Gating of LLM Experts","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2607.01689","title":"Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2608.12842","title":"CABS+: Efficient and Scalable Model Merging via Conflict-Aware Sparsification and Adaptive Weight Allocation","created":"2026-08-13","cited_by_count":0,"area":null},{"id":"2609.24612","title":"Beyond Uniform Subspaces: Spectrum-Aware and Depth-Adaptive Fusion for Multi-Task Model Merging","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.14017","title":"Barycentric Anchored Weight Search for Robust Model Merging","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}