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Model Merging
552 directly classified papers
Papers per year
2003: 1
2004: 1
2005: 1
2009: 1
2010: 1
2011: 1
2013: 1
2015: 1
2016: 1
2017: 3
2018: 14
2019: 13
2020: 32
2021: 36
2022: 37
2023: 58
2024: 126
2025: 182
2026: 42
Papers
When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets?
CONLL 2024
Feature Unlearning for Pre-trained GANs and VAEs
AAAI 2024
Amalgamating Multi-Task Models with Heterogeneous Architectures
AAAI 2024
Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness
COLING 2024
Fisher Mask Nodes for Language Model Merging
COLING 2024
Accuracy is Not All You Need
NIPS 2024
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models
ACL 2024
MoExtend: Tuning New Experts for Modality and Task Extension
ACL 2024
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
ACL 2024
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction
ACL 2024
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
ACL 2024
Chamain: Harmonizing Character Persona Integrity with Domain-Adaptive Knowledge in Dialogue Generation
ACL 2024
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model
INTERSPEECH 2024
Low-Rank Knowledge Decomposition for Medical Foundation Models
CVPR 2024
AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product
COLING 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
NIPS 2024
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
NIPS 2024
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
NIPS 2024
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
NIPS 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
NIPS 2024
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild
NIPS 2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
NIPS 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
NIPS 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
NIPS 2024
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
NIPS 2024
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