{"total":72,"rows":[{"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":"2503.08099","title":"Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors","created":"2025-03-11","cited_by_count":62,"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":"2502.17159","title":"RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness","created":"2025-02-24","cited_by_count":26,"area":null},{"id":"2410.21804","title":"Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging","created":"2024-10-29","cited_by_count":23,"area":"moe"},{"id":"2505.06977","title":"CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging","created":"2025-05-11","cited_by_count":23,"area":null},{"id":"2505.22934","title":"Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging","created":"2025-05-28","cited_by_count":19,"area":null},{"id":"2505.15875","title":"Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging","created":"2025-05-21","cited_by_count":18,"area":null},{"id":"2511.18810","title":"MergeVLA: Cross-Skill Model Merging Toward a Generalist Vision-Language-Action Agent","created":"2025-11-24","cited_by_count":18,"area":"mllm"},{"id":"2503.04543","title":"Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model","created":"2025-03-06","cited_by_count":16,"area":"lr"},{"id":"2411.16815","title":"FREE-Merging: Fourier Transform for Efficient Model Merging","created":"2024-11-25","cited_by_count":13,"area":null},{"id":"2501.15065","title":"Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts","created":"2025-01-25","cited_by_count":13,"area":null},{"id":"2505.20925","title":"Multi-objective Large Language Model Alignment with Hierarchical Experts","created":"2025-05-27","cited_by_count":13,"area":"alignment"},{"id":"2505.23859","title":"Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration","created":"2025-05-29","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":"2604.26283","title":"MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution","created":"2026-04-29","cited_by_count":12,"area":null},{"id":"2411.16139","title":"Beyond Task Vectors: Selective Task Arithmetic Based on Importance Metrics","created":"2024-11-25","cited_by_count":11,"area":null},{"id":"2503.08998","title":"From Task-Specific Models to Unified Systems: A Review of Model Merging Approaches","created":"2025-03-12","cited_by_count":11,"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":"2509.24610","title":"OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment","created":"2025-09-29","cited_by_count":7,"area":"alignment"},{"id":"2602.20208","title":"Model Merging in the Essential Subspace","created":"2026-02-23","cited_by_count":7,"area":null},{"id":"2503.05320","title":"To See a World in a Spark of Neuron: Disentangling Multi-task Interference for Training-free Model Merging","created":"2025-03-07","cited_by_count":6,"area":null},{"id":"2506.14436","title":"MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation","created":"2025-06-17","cited_by_count":5,"area":"moe"},{"id":"2508.21421","title":"Rethinking Layer-wise Model Merging through Chain of Merges","created":"2025-08-29","cited_by_count":5,"area":null},{"id":"2602.05536","title":"When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging","created":"2026-02-05","cited_by_count":5,"area":null},{"id":"2510.21223","title":"Model Merging with Functional Dual Anchors","created":"2025-10-24","cited_by_count":4,"area":null},{"id":"2506.09093","title":"Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data","created":"2025-06-10","cited_by_count":3,"area":null},{"id":"2508.11032","title":"MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation","created":"2025-08-14","cited_by_count":3,"area":null},{"id":"2510.14697","title":"Purifying Task Vectors in Knowledge-Aware Subspace for Model Merging","created":"2025-10-16","cited_by_count":3,"area":null},{"id":"2606.03723","title":"Compress then Merge: From Multiple LoRAs into One Low-Rank Adapter","created":"2026-06-02","cited_by_count":3,"area":null},{"id":"2505.23209","title":"Navigating the Accuracy-Size Trade-Off with Flexible Model Merging","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2511.11851","title":"Defending Unauthorized Model Merging via Dual-Stage Weight Protection","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2512.21288","title":"Model Merging via Multi-Teacher Knowledge Distillation","created":"2025-12-24","cited_by_count":2,"area":"distill"},{"id":"2603.05768","title":"Bridging Domains through Subspace-Aware Model Merging","created":"2026-03-06","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":"2412.19098","title":"SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation","created":"2024-12-26","cited_by_count":1,"area":null},{"id":"2506.01194","title":"FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA","created":"2025-06-01","cited_by_count":1,"area":null},{"id":"2506.04567","title":"StatsMerging: Statistics-Guided Model Merging via Task-Specific Teacher Distillation","created":"2025-06-05","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":"2510.03298","title":"CAFL-L: Constraint-Aware Federated Learning with Lagrangian Dual Optimization for On-Device Language Models","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2510.13921","title":"Weight Weaving: Parameter Pooling for Data-Free Model Merging","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2512.00391","title":"From Coefficients to Directions: Rethinking Model Merging with Directional Alignment","created":"2025-11-29","cited_by_count":1,"area":null},{"id":"2603.05354","title":"Exploring the potential and limitations of Model Merging for Multi-Domain Adaptation in ASR","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2604.16940","title":"D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation","created":"2026-04-18","cited_by_count":1,"area":null},{"id":"2605.11679","title":"Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion","created":"2026-05-12","cited_by_count":1,"area":"alignment"},{"id":"2605.12960","title":"DiM\\textsuperscript{3}: Bridging Multilingual and Multimodal Models via Direction- and Magnitude-Aware Merging","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2605.18904","title":"Dynamic Model Merging Made Slim","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2606.19164","title":"Data-Aware Model Merging in the Essential Subspace for Multi-Task Knowledge Aggregation","created":"2026-06-17","cited_by_count":1,"area":null},{"id":"2505.06481","title":"QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration","created":"2025-05-10","cited_by_count":0,"area":"moe"},{"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":"2602.00585","title":"Exploring Information Seeking Agent Consolidation","created":"2026-01-31","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":"2602.09413","title":"LARV: Data-Free Layer-wise Adaptive Rescaling Veneer for Model Merging","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2602.11717","title":"Beyond Parameter Arithmetic: Sparse Complementary Fusion for Distribution-Aware Model Merging","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2602.16125","title":"On the Power of Source Screening for Learning Shared Feature Extractors","created":"2026-02-18","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":"2603.03920","title":"BD-Merging: Bias-Aware Dynamic Model Merging with Evidence-Guided Contrastive Learning","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2603.14405","title":"ES-Merging: Biological MLLM Merging via Embedding Space Signals","created":"2026-03-15","cited_by_count":0,"area":"mllm"},{"id":"2604.01329","title":"Model Merging via Data-Free Covariance Estimation","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2604.22464","title":"Towards Adaptive Continual Model Merging via Manifold-Aware Expert Evolution","created":"2026-04-24","cited_by_count":0,"area":"moe"},{"id":"2605.12843","title":"ReForge: Refining Merged Models with Anchor-Regularized Regression","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2606.00511","title":"Saliency-Aware Model Merging","created":"2026-05-30","cited_by_count":0,"area":null},{"id":"2607.15661","title":"Model Merging for Medical LVLMs: A Benchmark and a Winner-Take-All Approach","created":"2026-07-17","cited_by_count":0,"area":"mllm"},{"id":"2608.04215","title":"A Unified Model for Cross-Domain Clone Detection via Model Merging","created":"2026-08-04","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":"2608.14264","title":"Multi-Objective Bayesian Optimization for Model Merging","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.26655","title":"When Privacy Hurts Mergeability: Geometry-Aware Model Merging under Differential Privacy","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.22237","title":"Not All Ranks Are Equal: Budget-Aware LoRA Merging Across Tasks","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.24517","title":"Not All Task Vectors Need Equal Rank: Energy-Proportional Allocation for Model Merging","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.34184","title":"CASS: Contribution-Aware Structured Sparsity for Model Merging","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.14762","title":"CrossMean: Model Merging by Pairing Merged and Expert Activations","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}