{"total":32,"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":"2506.13018","title":"Symmetry in Neural Network Parameter Spaces","created":"2025-06-16","cited_by_count":36,"area":null},{"id":"2503.10633","title":"We Should Chart an Atlas of All the World's Models","created":"2025-03-13","cited_by_count":25,"area":null},{"id":"2402.04081","title":"Improved Generalization of Weight Space Networks via Augmentations","created":"2024-02-06","cited_by_count":24,"area":null},{"id":"2406.10685","title":"Scale Equivariant Graph Metanetworks","created":"2024-06-15","cited_by_count":24,"area":null},{"id":"2410.04207","title":"Learning on LoRAs: GL-Equivariant Processing of Low-Rank Weight Spaces for Large Finetuned Models","created":"2024-10-05","cited_by_count":22,"area":null},{"id":"2405.20231","title":"The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof","created":"2024-05-30","cited_by_count":21,"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":"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":"2405.18432","title":"Unsupervised Model Tree Heritage Recovery","created":"2024-05-28","cited_by_count":11,"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":"2506.13234","title":"The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions","created":"2025-06-16","cited_by_count":9,"area":null},{"id":"2411.09263","title":"Rethinking Weight-Averaged Model-merging","created":"2024-11-14","cited_by_count":8,"area":null},{"id":"2410.13569","title":"Learning on Model Weights using Tree Experts","created":"2024-10-17","cited_by_count":7,"area":null},{"id":"2503.18123","title":"End-to-End Implicit Neural Representations for Classification","created":"2025-03-23","cited_by_count":7,"area":null},{"id":"2507.01649","title":"GradMetaNet: An Equivariant Architecture for Learning on Gradients","created":"2025-07-02","cited_by_count":7,"area":null},{"id":"2408.05496","title":"Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks","created":"2024-08-10","cited_by_count":6,"area":null},{"id":"2503.17138","title":"Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction","created":"2025-03-21","cited_by_count":6,"area":null},{"id":"2402.05966","title":"Vanishing Feature: Diagnosing Model Merging and Beyond","created":"2024-02-05","cited_by_count":5,"area":null},{"id":"2410.01483","title":"Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2504.18072","title":"A Model Zoo on Phase Transitions in Neural Networks","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2410.06665","title":"Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations","created":"2024-10-09","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":"2508.03649","title":"Cross-Model Semantics in Representation Learning","created":"2025-08-05","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":"2601.23181","title":"Ensuring Semantics in Weights of Implicit Neural Representations through the Implicit Function Theorem","created":"2026-01-30","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":"2511.12601","title":"Symmetry-Aware Graph Metanetwork Autoencoders: Model Merging through Parameter Canonicalization","created":"2025-11-16","cited_by_count":0,"area":null},{"id":"2605.08281","title":"Is Class Signal Clustered or Routed in Task-Induced Implicit Neural Representation Weight Spaces?","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2606.04754","title":"Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.18457","title":"Task-Restricted Symmetries in Recurrent Weight Space","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2610.00420","title":"Transferable Graph Metanetworks","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}