{"total":98,"rows":[{"id":"2311.03099","title":"Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch","created":"2023-11-06","cited_by_count":694,"area":null},{"id":"2307.13269","title":"LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition","created":"2023-07-25","cited_by_count":364,"area":null},{"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":"2312.12148","title":"Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment","created":"2023-12-19","cited_by_count":230,"area":null},{"id":"2404.03592","title":"ReFT: Representation Finetuning for Language Models","created":"2024-04-04","cited_by_count":197,"area":null},{"id":"2404.13628","title":"Mixture of LoRA Experts","created":"2024-04-21","cited_by_count":181,"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":"2406.15479","title":"Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging","created":"2024-06-17","cited_by_count":116,"area":null},{"id":"2405.17461","title":"EMR-Merging: Tuning-Free High-Performance Model Merging","created":"2024-05-23","cited_by_count":110,"area":null},{"id":"2402.02705","title":"Representation Surgery for Multi-Task Model Merging","created":"2024-02-05","cited_by_count":96,"area":null},{"id":"2402.16843","title":"Multi-LoRA Composition for Image Generation","created":"2024-02-26","cited_by_count":80,"area":null},{"id":"2405.11157","title":"Towards Modular LLMs by Building and Reusing a Library of LoRAs","created":"2024-05-18","cited_by_count":72,"area":null},{"id":"2410.02396","title":"Parameter Competition Balancing for Model Merging","created":"2024-10-03","cited_by_count":72,"area":null},{"id":"2407.11046","title":"A Survey on LoRA of Large Language Models","created":"2024-07-08","cited_by_count":67,"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":"2402.05859","title":"Learning to Route Among Specialized Experts for Zero-Shot Generalization","created":"2024-02-08","cited_by_count":65,"area":null},{"id":"2408.07990","title":"FuseChat: Knowledge Fusion of Chat Models","created":"2024-08-15","cited_by_count":55,"area":null},{"id":"2410.13025","title":"LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks","created":"2024-10-16","cited_by_count":52,"area":null},{"id":"2406.05223","title":"CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning","created":"2024-06-07","cited_by_count":44,"area":null},{"id":"2402.11455","title":"LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks","created":"2024-02-18","cited_by_count":39,"area":null},{"id":"2312.06173","title":"Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion","created":"2023-12-11","cited_by_count":37,"area":null},{"id":"2402.18913","title":"AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging","created":"2024-02-29","cited_by_count":34,"area":null},{"id":"2410.04332","title":"Gradient Routing: Masking Gradients to Localize Computation in Neural Networks","created":"2024-10-06","cited_by_count":34,"area":null},{"id":"2403.01753","title":"Training-Free Pretrained Model Merging","created":"2024-03-04","cited_by_count":32,"area":null},{"id":"2406.16797","title":"Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs","created":"2024-06-24","cited_by_count":31,"area":null},{"id":"2311.09344","title":"Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization","created":"2023-11-15","cited_by_count":28,"area":null},{"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":"2409.02877","title":"Configurable Foundation Models: Building LLMs from a Modular Perspective","created":"2024-09-04","cited_by_count":22,"area":null},{"id":"2410.17961","title":"Closed-form merging of parameter-efficient modules for Federated Continual Learning","created":"2024-10-23","cited_by_count":22,"area":null},{"id":"2410.01335","title":"Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models","created":"2024-10-02","cited_by_count":21,"area":null},{"id":"2311.02105","title":"Making Harmful Behaviors Unlearnable for Large Language Models","created":"2023-11-02","cited_by_count":20,"area":null},{"id":"2403.08994","title":"Ethos: Rectifying Language Models in Orthogonal Parameter Space","created":"2024-03-13","cited_by_count":20,"area":null},{"id":"2403.19067","title":"Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach","created":"2024-03-28","cited_by_count":18,"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":"2310.11451","title":"Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective","created":"2023-10-17","cited_by_count":17,"area":null},{"id":"2403.18493","title":"VersaT2I: Improving Text-to-Image Models with Versatile Reward","created":"2024-03-27","cited_by_count":17,"area":null},{"id":"2407.07089","title":"Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic","created":"2024-07-09","cited_by_count":14,"area":null},{"id":"2410.13910","title":"Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace","created":"2024-10-17","cited_by_count":14,"area":null},{"id":"2502.05932","title":"Skill Expansion and Composition in Parameter Space","created":"2025-02-09","cited_by_count":14,"area":null},{"id":"2408.01119","title":"Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer","created":"2024-08-02","cited_by_count":13,"area":null},{"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":"2505.23859","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":"2310.02842","title":"Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation","created":"2023-10-04","cited_by_count":12,"area":null},{"id":"2411.18607","title":"Task Arithmetic Through The Lens Of One-Shot Federated Learning","created":"2024-11-27","cited_by_count":12,"area":null},{"id":"2411.15231","title":"IterIS: Iterative Inference-Solving Alignment for LoRA Merging","created":"2024-11-21","cited_by_count":11,"area":null},{"id":"2503.07661","title":"Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy","created":"2025-03-08","cited_by_count":11,"area":null},{"id":"2512.23017","title":"Merge before Forget: A Single LoRA Continual Learning via Continual Merging","created":"2025-12-28","cited_by_count":11,"area":null},{"id":"2409.00119","title":"3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability","created":"2024-08-28","cited_by_count":10,"area":null},{"id":"2412.06289","title":"S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity","created":"2024-12-09","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":"2411.09263","title":"Rethinking Weight-Averaged Model-merging","created":"2024-11-14","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":"2403.02799","title":"DPPA: Pruning Method for Large Language Model to Model Merging","created":"2024-03-05","cited_by_count":7,"area":null},{"id":"2505.16066","title":"Merge to Mix: Mixing Datasets via Model Merging","created":"2025-05-21","cited_by_count":7,"area":null},{"id":"2506.01790","title":"IF-GUIDE: Influence Function-Guided Detoxification of LLMs","created":"2025-06-02","cited_by_count":7,"area":null},{"id":"2510.21453","title":"Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP","created":"2025-10-24","cited_by_count":7,"area":null},{"id":"2505.20525","title":"MultLFG: Training-free Multi-LoRA composition using Frequency-domain Guidance","created":"2025-05-26","cited_by_count":6,"area":null},{"id":"2505.21226","title":"Why Do More Experts Fail? A Theoretical Analysis of Model Merging","created":"2025-05-27","cited_by_count":6,"area":null},{"id":"2601.21795","title":"Effective LoRA Adapter Routing using Task Representations","created":"2026-01-29","cited_by_count":6,"area":null},{"id":"2411.00553","title":"Is Multiple Object Tracking a Matter of Specialization?","created":"2024-11-01","cited_by_count":5,"area":null},{"id":"2502.10698","title":"Superpose Task-specific Features for Model Merging","created":"2025-02-15","cited_by_count":5,"area":null},{"id":"2405.09805","title":"SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data","created":"2024-05-16","cited_by_count":4,"area":null},{"id":"2501.06208","title":"Enhancing AI Safety Through the Fusion of Low Rank Adapters","created":"2024-12-30","cited_by_count":4,"area":null},{"id":"2504.10902","title":"Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs","created":"2025-04-15","cited_by_count":4,"area":null},{"id":"2504.17421","title":"Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks","created":"2025-04-24","cited_by_count":4,"area":null},{"id":"2506.13187","title":"Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence","created":"2025-06-16","cited_by_count":4,"area":null},{"id":"2608.27409","title":"Consolidating RLVR Capabilities Across Domains: A Deep Dive into Fusion Paradigms","created":"2026-08-27","cited_by_count":4,"area":null},{"id":"2411.14064","title":"Multi LoRA Meets Vision: Merging multiple adapters to create a multi task model","created":"2024-11-21","cited_by_count":3,"area":null},{"id":"2503.09271","title":"DitHub: A Modular Framework for Incremental Open-Vocabulary Object Detection","created":"2025-03-12","cited_by_count":3,"area":null},{"id":"2607.08077","title":"Modular Pretraining Enables Access Control","created":"2026-07-09","cited_by_count":3,"area":null},{"id":"2509.23689","title":"Merge Now, Regret Later: The Hidden Cost of Model Merging Is Adversarial Transferability","created":"2025-09-28","cited_by_count":2,"area":null},{"id":"2602.13071","title":"Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmetic","created":"2026-02-13","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":"2605.26484","title":"Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training","created":"2026-05-26","cited_by_count":2,"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":"2502.16055","title":"MedForge: Building Medical Foundation Models Like Open Source Software Development","created":"2025-02-22","cited_by_count":1,"area":null},{"id":"2504.21023","title":"Param$\\Delta$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2505.23844","title":"Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation","created":"2025-05-28","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":"2509.10535","title":"Semantic-guided LoRA Parameters Generation","created":"2025-09-05","cited_by_count":1,"area":null},{"id":"2510.11268","title":"Exploring and Leveraging Class Vectors for Classifier Editing","created":"2025-10-13","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":"2606.16501","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":"2402.15202","title":"Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models","created":"2024-02-23","cited_by_count":0,"area":null},{"id":"2407.03674","title":"Short-Long Policy Evaluation with Novel Actions","created":"2024-07-04","cited_by_count":0,"area":null},{"id":"2408.09568","title":"MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair","created":"2024-08-18","cited_by_count":0,"area":null},{"id":"2503.01164","title":"Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis","created":"2025-03-03","cited_by_count":0,"area":null},{"id":"2504.09812","title":"Efficient Multi-Task Modeling through Automated Fusion of Trained Models","created":"2025-04-14","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":"2511.08626","title":"SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images","created":"2025-11-09","cited_by_count":0,"area":null},{"id":"2601.13580","title":"Neural Organ Transplantation (NOT): Checkpoint-Based Modular Adaptation for Transformer Models","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2602.23869","title":"Open-Vocabulary Semantic Segmentation in Remote Sensing via Hierarchical Attention Masking and Model Composition","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2604.00324","title":"The Persistent Vulnerability of Aligned AI Systems","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2604.10023","title":"FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer","created":"2026-04-11","cited_by_count":0,"area":null},{"id":"2609.15743","title":"Merging the Knowledge of LLMs for Automatic Speech Recognition","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2610.00431","title":"ChainLoRA: Geometry-Preserving Task Vector Merging for Continual Learning in LLMs","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}