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Model Merging

552 directly classified papers

Papers per year

Papers

When Quantization Affects Confidence of Large Language Models? NAACL 2024
Fisher Mask Nodes for Language Model Merging COLING 2024
Orthogonal Adaptation for Modular Customization of Diffusion Models CVPR 2024
Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language Models COLING 2024
AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product COLING 2024
Mind’s Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models NAACL 2024
Asymmetric Image Retrieval With Cross Model Compatible Ensembles WACV 2024
BigSmall: Efficient Multi-Task Learning for Disparate Spatial and Temporal Physiological Measurements WACV 2024
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NIPS 2024
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs NAACL 2024
An Attribute Interpolation Method in Speech Synthesis by Model Merging INTERSPEECH 2024
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse ACL 2024
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model INTERSPEECH 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024
Emotion Arithmetic: Emotional Speech Synthesis via Weight Space Interpolation INTERSPEECH 2024
What the Weight?! A Unified Framework for Zero-Shot Knowledge Composition EACL 2024
Bridging the Gap between Different Vocabularies for LLM Ensemble NAACL 2024
Chamain: Harmonizing Character Persona Integrity with Domain-Adaptive Knowledge in Dialogue Generation ACL 2024
Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the DIFrauD Benchmark COLING 2024
ReFACT: Updating Text-to-Image Models by Editing the Text Encoder NAACL 2024
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning ACL 2024
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation CVPR 2024
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models ACL 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024
MoExtend: Tuning New Experts for Modality and Task Extension ACL 2024