{"total":147,"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":"2501.01230","title":"Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent","created":"2025-01-02","cited_by_count":39,"area":null},{"id":"2509.17786","title":"Accurate and Efficient Low-Rank Model Merging in Core Space","created":"2025-09-22","cited_by_count":29,"area":null},{"id":"2412.12153","title":"Revisiting Weight Averaging for Model Merging","created":"2024-12-11","cited_by_count":25,"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":"2505.20925","title":"Multi-objective Large Language Model Alignment with Hierarchical Experts","created":"2025-05-27","cited_by_count":13,"area":"alignment"},{"id":"2508.03121","title":"RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging","created":"2025-08-05","cited_by_count":11,"area":null},{"id":"2502.10436","title":"MERGE$^3$: Efficient Evolutionary Merging on Consumer-grade GPUs","created":"2025-02-09","cited_by_count":10,"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":"2503.22178","title":"AdaRank: Adaptive Rank Pruning for Enhanced Model Merging","created":"2025-03-28","cited_by_count":9,"area":null},{"id":"2506.16506","title":"Subspace-Boosted Model Merging","created":"2025-06-19","cited_by_count":9,"area":null},{"id":"2603.00191","title":"Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning","created":"2026-02-27","cited_by_count":9,"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":"2509.25712","title":"Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking","created":"2025-09-30","cited_by_count":8,"area":"mllm"},{"id":"2603.06242","title":"DC-Merge: Improving Model Merging with Directional Consistency","created":"2026-03-06","cited_by_count":8,"area":null},{"id":"2508.00161","title":"Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs","created":"2025-07-31","cited_by_count":7,"area":"safety"},{"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":"2601.22285","title":"Demystifying Mergeability: Interpretable Properties to Predict Model Merging Success","created":"2026-01-29","cited_by_count":7,"area":null},{"id":"2602.20208","title":"Model Merging in the Essential Subspace","created":"2026-02-23","cited_by_count":7,"area":null},{"id":"2502.17380","title":"Low-Rank and Sparse Model Merging for Multi-Lingual Speech Recognition and Translation","created":"2025-02-24","cited_by_count":6,"area":null},{"id":"2502.20186","title":"Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge","created":"2025-02-27","cited_by_count":6,"area":null},{"id":"2504.20106","title":"Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors","created":"2025-04-27","cited_by_count":6,"area":"alignment"},{"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":"2602.12952","title":"Transporting Task Vectors across Different Architectures without Training","created":"2026-02-13","cited_by_count":6,"area":null},{"id":"2603.02945","title":"ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation","created":"2026-03-03","cited_by_count":6,"area":null},{"id":"2503.06921","title":"Task Vector Quantization for Memory-Efficient Model Merging","created":"2025-03-10","cited_by_count":5,"area":null},{"id":"2504.05342","title":"MASS: MoErging through Adaptive Subspace Selection","created":"2025-04-06","cited_by_count":5,"area":null},{"id":"2505.11427","title":"Mergenetic: a Simple Evolutionary Model Merging Library","created":"2025-05-16","cited_by_count":5,"area":null},{"id":"2508.21421","title":"Rethinking Layer-wise Model Merging through Chain of Merges","created":"2025-08-29","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":"2602.05536","title":"When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging","created":"2026-02-05","cited_by_count":5,"area":null},{"id":"2506.14126","title":"From Memorization to Parameter Interference: How Overtraining Experts Harms Model Merging","created":"2025-06-17","cited_by_count":4,"area":null},{"id":"2510.09658","title":"Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models","created":"2025-10-07","cited_by_count":4,"area":null},{"id":"2510.21223","title":"Model Merging with Functional Dual Anchors","created":"2025-10-24","cited_by_count":4,"area":null},{"id":"2602.05943","title":"Orthogonal Model Merging","created":"2026-02-05","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":"2505.24262","title":"On Fairness of Task Arithmetic: The Role of Task Vectors","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2510.14163","title":"Towards Reversible Model Merging For Low-rank Weights","created":"2025-10-15","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":"2602.17385","title":"Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature","created":"2026-02-19","cited_by_count":3,"area":null},{"id":"2604.17078","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","created":"2026-04-18","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":"2508.06831","title":"Low-Rank Expert Merging for Multi-Source Domain Adaptation in Person Re-Identification","created":"2025-08-09","cited_by_count":2,"area":null},{"id":"2510.08016","title":"Backdoor Vectors: a Task Arithmetic View on Backdoor Attacks and Defenses","created":"2025-10-09","cited_by_count":2,"area":null},{"id":"2511.05171","title":"Model Merging Improves Zero-Shot Generalization in Bioacoustic Foundation Models","created":"2025-11-07","cited_by_count":2,"area":null},{"id":"2512.01461","title":"Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging","created":"2025-12-01","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":"2602.12323","title":"The Appeal and Reality of Recycling LoRAs with Adaptive Merging","created":"2026-02-12","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":"2604.02719","title":"MOMO: Mars Orbital Model Foundation Model for Mars Orbital Applications","created":"2026-04-03","cited_by_count":2,"area":null},{"id":"2604.02881","title":"One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging","created":"2026-04-03","cited_by_count":2,"area":null},{"id":"2604.03420","title":"Zero-Shot Quantization via Weight-Space Arithmetic","created":"2026-04-03","cited_by_count":2,"area":null},{"id":"2604.22823","title":"PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging","created":"2026-04-18","cited_by_count":2,"area":"mllm"},{"id":"2606.01717","title":"Decentralized Instruction Tuning: Conflict-Aware Splitting and Weight Merging","created":"2026-06-01","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":"2607.19331","title":"ISO: An RLVR-Native Optimization Stack","created":"2026-07-21","cited_by_count":2,"area":"lr"},{"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":"2502.01015","title":"Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic","created":"2025-02-03","cited_by_count":1,"area":null},{"id":"2508.01148","title":"DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2508.03999","title":"Tensorized Clustered LoRA Merging for Multi-Task Interference","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2510.12117","title":"Locket: Robust Feature-Locking Technique for Language Models","created":"2025-10-14","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":"2511.19561","title":"Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport","created":"2025-11-24","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":"2601.21898","title":"Making Models Unmergeable via Scaling-Sensitive Loss Landscape","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2602.04937","title":"Linear Model Merging Unlocks Simple and Scalable Multimodal Data Mixture Optimization","created":"2026-02-04","cited_by_count":1,"area":"mllm"},{"id":"2602.09689","title":"Model soups need only one ingredient","created":"2026-02-10","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":"2603.13467","title":"Learning Not To Interfere: Adapting Experts For Model Merging","created":"2026-03-13","cited_by_count":1,"area":null},{"id":"2604.04231","title":"Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization","created":"2026-04-05","cited_by_count":1,"area":"safety"},{"id":"2604.14808","title":"Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem","created":"2026-04-16","cited_by_count":1,"area":"safety"},{"id":"2604.27155","title":"Generalizing the Geometry of Model Merging Through Frechet Averages","created":"2026-04-29","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":"2605.18904","title":"Dynamic Model Merging Made Slim","created":"2026-05-17","cited_by_count":1,"area":null},{"id":"2605.18993","title":"Distilling Linearized Behavior into Non-Linear Fine-Tuning for Effective Task Arithmetic","created":"2026-05-18","cited_by_count":1,"area":"safety"},{"id":"2605.22205","title":"Skill Weaving: Efficient LLM Improvement via Modular Skillpacks","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2605.26693","title":"Model Merging on Loss Landscape: A Geometry Perspective","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2606.02252","title":"ResMerge: Residual-based Spectral Merging of Large Language Models","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2606.10617","title":"SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models","created":"2026-06-09","cited_by_count":1,"area":"diffusion"},{"id":"2606.16501","title":"Post-Hoc Merging is Not Enough: Many-Shot Model Merging with Loss-Gap Balancing","created":"2026-06-15","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":"2606.22589","title":"Training-free Task Classification for Multi-Task Model Merging","created":"2026-06-21","cited_by_count":1,"area":null},{"id":"2607.03011","title":"Can Model Merging Improve Aggregation in DiLoCo?","created":"2026-07-03","cited_by_count":1,"area":null},{"id":"2607.09202","title":"Interference and Retention in Continual Learning","created":"2026-07-10","cited_by_count":1,"area":null},{"id":"2608.10850","title":"Diffract: Spectral View of LLM Domain Adaptation","created":"2026-08-11","cited_by_count":1,"area":null},{"id":"2608.11797","title":"Reading the Gate, Not the Interference: Output-Side Interference Measurement Does Not Track Merge Collapse","created":"2026-08-12","cited_by_count":1,"area":null},{"id":"2609.00746","title":"Text Capability Loss in Vision-Language Adaptation: An Attention-Sink Diagnosis","created":"2026-09-01","cited_by_count":1,"area":"lr"},{"id":"2609.19553","title":"From Parameters to Behaviors: A Survey of Model Fusion for Large Language Models","created":"2026-09-17","cited_by_count":1,"area":null},{"id":"2505.18548","title":"Composable Cross-prompt Essay Scoring by Merging Models","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2508.05059","title":"Learning from Oblivion: Predicting Knowledge Overflowed Weights via Retrodiction of Forgetting","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2508.19353","title":"Efficient Multi-Source Knowledge Transfer by Model Merging","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2509.18208","title":"Variational Task Vector Composition","created":"2025-09-21","cited_by_count":0,"area":null},{"id":"2511.09880","title":"EnchTable: Unified Safety Alignment Transfer in Fine-tuned Large Language Models","created":"2025-11-13","cited_by_count":0,"area":"alignment"},{"id":"2512.02441","title":"Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation","created":"2025-12-02","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":"2601.21690","title":"A Unified Generalization Framework for Model Merging: Trade-offs, Non-Linearity, and Scaling Laws","created":"2026-01-29","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}],"next_cursor":"100"}