application-of-model-merging-in-different-machine-learning-subfields
application-of-model-merging-in-foundation-models
combine-the-capabilities-of-expert-llms
combine-the-capabilities-of-expert-mllms
enhancing-the-faithfulness-or-generation-quality-of-diffusion-models
human-preference-alignment-for-llms
improving-computational-efficiency-of-moe-based-llm
knowledge-editingunlearning-of-llms
mixing-datasets-via-model-merging
model-merging-as-a-defense-or-intellectual-property-protection
model-merging-for-better-domain-generalization-or-domain-adaptation
model-merging-for-better-out-of-distribution-generalization
model-merging-for-cross-modal-knowledge-transfer
model-merging-for-cross-task-generalization-in-few-shot-learning
model-merging-for-cross-task-generalization-in-zero-shot-learning
model-merging-for-knowledge-transfer-in-auxiliary-learning
model-merging-for-knowledge-transfer-in-multi-domain-learning
model-merging-for-knowledge-transfer-in-multi-objective-optimization
model-merging-for-knowledge-transfer-in-multi-task-learning
model-merging-for-local-knowledge-aggregation
model-merging-for-multimodal-fusion
model-merging-in-adversarial-learning
model-merging-in-continual-learning
model-merging-in-embodied-models
model-merging-in-federated-learning
model-merging-in-image-generative-models
model-merging-in-large-language-models
model-merging-in-multi-taskmulti-objectivemulti-domainauxiliary-learning
model-merging-in-multimodal-large-language-models
model-merging-in-out-of-distributiondomain-generalization
model-merging-in-video-generative-models
model-merging-in-zero-shotfew-shot-learning
model-merging-to-mitigate-catastrophic-forgetting
post-calibration-based-methods
reducing-training-cost-of-generative-models
routing-based-merging-methods-dynamic-merging
style-mixing-in-generative-models
subspace-based-merging-method-sparse-or-low-rank-subspace


