{"total":19,"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":"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":"2407.00487","title":"It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization","created":"2024-06-29","cited_by_count":10,"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":"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":"2503.14321","title":"COPA: Comparing the incomparable in multi-objective model evaluation","created":"2025-03-18","cited_by_count":3,"area":null},{"id":"2605.14546","title":"Discovering Physical Directions in Weight Space: Composing Neural PDE Experts","created":"2026-05-14","cited_by_count":3,"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":"2606.18627","title":"PACT: Preserving Anchored Cores in Task-vectors for Model Merging","created":"2026-06-17","cited_by_count":2,"area":null},{"id":"2412.08147","title":"Variational Model Merging for Pareto Front Estimation in Multitask Finetuning","created":"2024-12-11","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":"2508.01148","title":"DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2609.13714","title":"Certifying Model Upgrades with Slice-Wise Non-Regression and Incumbent Fallback","created":"2026-09-12","cited_by_count":1,"area":null},{"id":"2606.30360","title":"On the Vulnerability of Parameter-Level Defenses to Model Merging","created":"2026-06-29","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":"2608.14264","title":"Multi-Objective Bayesian Optimization for Model Merging","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.39055","title":"The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.01037","title":"SLIM: Simplex-Lattice Interpolation Merging","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}