{"total":49,"rows":[{"id":"2306.01708","title":"TIES-Merging: Resolving Interference When Merging Models","created":"2023-06-02","cited_by_count":818,"area":null},{"id":"2305.03053","title":"ZipIt! Merging Models from Different Tasks without Training","created":"2023-05-04","cited_by_count":179,"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":"2402.14811","title":"Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking","created":"2024-02-22","cited_by_count":149,"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":"2311.12786","title":"Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks","created":"2023-11-21","cited_by_count":115,"area":null},{"id":"2311.07914","title":"Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey","created":"2023-11-14","cited_by_count":92,"area":null},{"id":"2501.13198","title":"SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning","created":"2025-01-22","cited_by_count":63,"area":null},{"id":"2410.03617","title":"What Matters for Model Merging at Scale?","created":"2024-10-04","cited_by_count":55,"area":null},{"id":"2408.13656","title":"Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic","created":"2024-08-24","cited_by_count":50,"area":null},{"id":"2312.04339","title":"Merging by Matching Models in Task Parameter Subspaces","created":"2023-12-07","cited_by_count":36,"area":null},{"id":"2402.12865","title":"Backward Lens: Projecting Language Model Gradients into the Vocabulary Space","created":"2024-02-20","cited_by_count":32,"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":"2306.16788","title":"Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging","created":"2023-06-29","cited_by_count":20,"area":null},{"id":"2407.20999","title":"MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning","created":"2024-07-30","cited_by_count":14,"area":null},{"id":"2411.05239","title":"ZipNN: Lossless Compression for AI Models","created":"2024-11-07","cited_by_count":14,"area":null},{"id":"2311.07682","title":"Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion","created":"2023-11-13","cited_by_count":13,"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":"2405.18432","title":"Unsupervised Model Tree Heritage Recovery","created":"2024-05-28","cited_by_count":11,"area":null},{"id":"2510.05092","title":"Learning to Interpret Weight Differences in Language Models","created":"2025-10-06","cited_by_count":11,"area":null},{"id":"2405.19010","title":"Evaluating the External and Parametric Knowledge Fusion of Large Language Models","created":"2024-05-29","cited_by_count":9,"area":null},{"id":"2410.13569","title":"Learning on Model Weights using Tree Experts","created":"2024-10-17","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":"2606.00831","title":"Subliminal Learning is a LoRA Artifact","created":"2026-05-30","cited_by_count":6,"area":null},{"id":"2404.15198","title":"Lossless and Near-Lossless Compression for Foundation Models","created":"2024-04-05","cited_by_count":5,"area":null},{"id":"2501.09705","title":"Practical Continual Forgetting for Pre-trained Vision Models","created":"2025-01-16","cited_by_count":4,"area":null},{"id":"2601.06672","title":"Will it Merge? On The Causes of Model Mergeability","created":"2026-01-10","cited_by_count":4,"area":null},{"id":"2402.08594","title":"Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning","created":"2024-02-13","cited_by_count":3,"area":null},{"id":"2410.17739","title":"Local Contrastive Editing of Gender Stereotypes","created":"2024-10-23","cited_by_count":3,"area":null},{"id":"2411.04448","title":"Gradient Localization Improves Lifelong Pretraining of Language Models","created":"2024-11-07","cited_by_count":3,"area":null},{"id":"2503.01896","title":"Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2506.20746","title":"Dynamic Weight Grafting: Localizing Finetuned Factual Knowledge in Transformers","created":"2025-06-25","cited_by_count":3,"area":null},{"id":"2402.14522","title":"Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond","created":"2024-02-22","cited_by_count":2,"area":null},{"id":"2406.12471","title":"Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2412.17019","title":"Reversed Attention: On The Gradient Descent Of Attention Layers In GPT","created":"2024-12-22","cited_by_count":2,"area":null},{"id":"2602.00747","title":"Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training","created":"2026-01-31","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":"2601.22157","title":"Discovering Hidden Gems in Model Repositories","created":"2026-01-29","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":"2608.09490","title":"When Do Task Vectors Interfere? Mapping the Validity Boundaries of Weight-Space Composition","created":"2026-08-10","cited_by_count":1,"area":null},{"id":"2307.03506","title":"Derivative Free Weight-space Ensembling","created":"2023-07-07","cited_by_count":0,"area":null},{"id":"2309.13561","title":"Cordyceps@LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding","created":"2023-09-24","cited_by_count":0,"area":null},{"id":"2407.20891","title":"Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks","created":"2024-07-30","cited_by_count":0,"area":null},{"id":"2410.12927","title":"Deep Model Merging: The Sister of Neural Network Interpretability -- A Survey","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2504.14545","title":"TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data","created":"2025-04-20","cited_by_count":0,"area":null},{"id":"2604.01329","title":"Model Merging via Data-Free Covariance Estimation","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2604.17104","title":"TensorDex: A Compact, Tensor-Centric Storage System for Modern AI Models","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2607.03377","title":"Spectral Signatures of Large Language Models","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2609.38374","title":"Doc2LoRA Provides Decodable Representations of Scientific Ideas","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}