{"total":149,"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":"2403.13257","title":"Arcee's MergeKit: A Toolkit for Merging Large Language Models","created":"2024-03-20","cited_by_count":194,"area":null},{"id":"2404.14387","title":"A Survey on Self-Evolution of Large Language Models","created":"2024-04-22","cited_by_count":91,"area":null},{"id":"2503.10657","title":"RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs","created":"2025-03-08","cited_by_count":61,"area":null},{"id":"2408.07990","title":"FuseChat: Knowledge Fusion of Chat Models","created":"2024-08-15","cited_by_count":55,"area":null},{"id":"2410.03617","title":"What Matters for Model Merging at Scale?","created":"2024-10-04","cited_by_count":55,"area":null},{"id":"2407.09298","title":"Transformer Layers as Painters","created":"2024-07-12","cited_by_count":54,"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":"2407.15017","title":"Knowledge Mechanisms in Large Language Models: A Survey and Perspective","created":"2024-07-22","cited_by_count":51,"area":null},{"id":"2407.06089","title":"Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models","created":"2024-07-08","cited_by_count":44,"area":null},{"id":"2410.14273","title":"REEF: Representation Encoding Fingerprints for Large Language Models","created":"2024-10-18","cited_by_count":36,"area":null},{"id":"2509.24372","title":"Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning","created":"2025-09-29","cited_by_count":34,"area":null},{"id":"2412.19726","title":"Position: Theory of Mind Benchmarks are Broken for Large Language Models","created":"2024-12-27","cited_by_count":31,"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":"2410.03777","title":"Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling","created":"2024-10-03","cited_by_count":28,"area":null},{"id":"2403.19390","title":"Checkpoint Merging via Bayesian Optimization in LLM Pretraining","created":"2024-03-28","cited_by_count":27,"area":null},{"id":"2410.11163","title":"Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence","created":"2024-10-15","cited_by_count":27,"area":null},{"id":"2408.14471","title":"A Practitioner's Guide to Continual Multimodal Pretraining","created":"2024-08-26","cited_by_count":23,"area":null},{"id":"2412.06712","title":"How to Merge Your Multimodal Models Over Time?","created":"2024-12-09","cited_by_count":23,"area":null},{"id":"2502.04510","title":"Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems","created":"2025-02-06","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":"2407.03994","title":"Unlocking the Potential of Model Merging for Low-Resource Languages","created":"2024-07-04","cited_by_count":19,"area":null},{"id":"2410.10801","title":"Mix Data or Merge Models? Optimizing for Diverse Multi-Task Learning","created":"2024-10-14","cited_by_count":17,"area":null},{"id":"2509.19727","title":"Personality Vector: Modulating Personality of Large Language Models by Model Merging","created":"2025-09-24","cited_by_count":17,"area":null},{"id":"2601.06123","title":"Latent Space Communication via K-V Cache Alignment","created":"2026-01-04","cited_by_count":17,"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":"2407.20750","title":"JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources","created":"2024-07-30","cited_by_count":15,"area":null},{"id":"2503.01155","title":"Nature-Inspired Population-Based Evolution of Large Language Models","created":"2025-03-03","cited_by_count":15,"area":null},{"id":"2409.18314","title":"Realistic Evaluation of Model Merging for Compositional Generalization","created":"2024-09-26","cited_by_count":12,"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":"2509.24244","title":"Model Merging Scaling Laws in Large Language Models","created":"2025-09-29","cited_by_count":12,"area":null},{"id":"2602.09021","title":"$\\chi_{0}$: Resource-Aware Robust Manipulation via Taming Distributional Inconsistencies","created":"2026-02-09","cited_by_count":12,"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":"2410.09344","title":"DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models","created":"2024-10-12","cited_by_count":10,"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":"2410.05357","title":"Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild","created":"2024-10-07","cited_by_count":9,"area":null},{"id":"2503.13505","title":"Ensemble Learning for Large Language Models in Text and Code Generation: A Survey","created":"2025-03-13","cited_by_count":9,"area":null},{"id":"2407.08642","title":"Towards Building Specialized Generalist AI with System 1 and System 2 Fusion","created":"2024-07-11","cited_by_count":8,"area":null},{"id":"2407.09502","title":"From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models","created":"2024-06-14","cited_by_count":8,"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":"2503.01874","title":"CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging","created":"2025-02-26","cited_by_count":8,"area":null},{"id":"2503.18008","title":"Personalized Language Models via Privacy-Preserving Evolutionary Model Merging","created":"2025-03-23","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":"2507.14240","title":"HuggingGraph: Understanding the Supply Chain of LLM Ecosystem","created":"2025-07-17","cited_by_count":8,"area":null},{"id":"2410.08604","title":"MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models","created":"2024-10-11","cited_by_count":7,"area":null},{"id":"2502.16770","title":"LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint","created":"2025-02-24","cited_by_count":7,"area":null},{"id":"2505.18102","title":"CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting","created":"2025-05-23","cited_by_count":7,"area":null},{"id":"2409.11274","title":"Task Arithmetic for Language Expansion in Speech Translation","created":"2024-09-17","cited_by_count":6,"area":null},{"id":"2410.02330","title":"Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection","created":"2024-10-03","cited_by_count":6,"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":"2505.15741","title":"Large Language Models and Evolutionary Computation: A Critical Review of Bidirectional Interaction, Automated Algorithm Design, and Co-Adaptive Systems","created":"2025-05-21","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":"2506.12379","title":"Training-free LLM Merging for Multi-task Learning","created":"2025-06-14","cited_by_count":6,"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":"2508.11779","title":"A Multi-Task Evaluation of LLMs' Processing of Academic Text Input","created":"2025-08-15","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":"2512.04695","title":"TRINITY: An Evolved LLM Coordinator","created":"2025-12-04","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":"2410.13166","title":"An Evolved Universal Transformer Memory","created":"2024-10-17","cited_by_count":4,"area":null},{"id":"2508.16204","title":"Competition and Attraction Improve Model Fusion","created":"2025-08-22","cited_by_count":4,"area":null},{"id":"2511.13254","title":"Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance","created":"2025-11-17","cited_by_count":4,"area":null},{"id":"2601.09473","title":"SimMerge: Learning to Select Merge Operators from Similarity Signals","created":"2026-01-14","cited_by_count":4,"area":null},{"id":"2605.10661","title":"Investigating Single-Block Recurrence in Vision Transformers for Image Recognition","created":"2026-05-11","cited_by_count":4,"area":null},{"id":"2409.19854","title":"The Construction of Instruction-tuned LLMs for Finance without Instruction Data Using Continual Pretraining and Model Merging","created":"2024-09-30","cited_by_count":3,"area":null},{"id":"2410.08371","title":"Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation","created":"2024-10-10","cited_by_count":3,"area":null},{"id":"2412.17023","title":"Parameter-Efficient Interventions for Enhanced Model Merging","created":"2024-12-22","cited_by_count":3,"area":null},{"id":"2506.14794","title":"Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors","created":"2025-05-31","cited_by_count":3,"area":null},{"id":"2506.20480","title":"GPTailor: Large Language Model Pruning Through Layer Cutting and Stitching","created":"2025-06-25","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":"2512.10772","title":"Grow Up and Merge: Scaling Strategies for Efficient Language Adaptation","created":"2025-12-11","cited_by_count":3,"area":null},{"id":"2405.19950","title":"Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine","created":"2024-05-30","cited_by_count":2,"area":null},{"id":"2406.06262","title":"Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning","created":"2024-06-10","cited_by_count":2,"area":null},{"id":"2407.04513","title":"LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2409.00997","title":"DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning","created":"2024-09-02","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":"2411.09933","title":"JRadiEvo: A Japanese Radiology Report Generation Model Enhanced by Evolutionary Optimization of Model Merging","created":"2024-11-15","cited_by_count":2,"area":null},{"id":"2502.12001","title":"Merging Language and Domain Specific Models: The Impact on Technical Vocabulary Acquisition","created":"2025-02-17","cited_by_count":2,"area":null},{"id":"2502.12217","title":"Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging","created":"2025-02-17","cited_by_count":2,"area":null},{"id":"2502.15434","title":"Mixup Model Merge: Enhancing Model Merging Performance through Randomized Linear Interpolation","created":"2025-02-21","cited_by_count":2,"area":null},{"id":"2505.15798","title":"Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot Learning","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2505.16661","title":"A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP","created":"2025-05-22","cited_by_count":2,"area":null},{"id":"2506.09446","title":"Harmonizing and Merging Source Models for CLIP-based Domain Generalization","created":"2025-06-11","cited_by_count":2,"area":null},{"id":"2509.02555","title":"Surrogate Benchmarks for Model Merging Optimization","created":"2025-09-02","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":"2512.04545","title":"EvoEdit: Lifelong Free-Text Knowledge Editing through Latent Perturbation Augmentation and Knowledge-driven Parameter Fusion","created":"2025-12-04","cited_by_count":2,"area":null},{"id":"2512.22337","title":"The Effectiveness of Approximate Regularized Replay for Efficient Supervised Fine-Tuning of Large Language Models","created":"2025-12-26","cited_by_count":2,"area":null},{"id":"2601.06780","title":"Multi-Stage Evolutionary Model Merging with Meta Data Driven Curriculum Learning for Sentiment-Specialized Large Language Modeling","created":"2026-01-11","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":"2604.01674","title":"Can Heterogeneous Language Models Be Fused?","created":"2026-04-02","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":"2605.19373","title":"Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies","created":"2026-05-16","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":"2405.13984","title":"Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2407.08745","title":"Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects","created":"2024-06-03","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":"2505.23844","title":"Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation","created":"2025-05-28","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":"2601.15930","title":"MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging","created":"2026-01-22","cited_by_count":1,"area":null}],"next_cursor":"100"}