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Model Merging

552 directly classified papers

Papers per year

Papers

A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models ACL 2023
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging MIDL 2023
Gemel: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge NSDI 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models ICML 2023
PAI at SemEval-2023 Task 4: A General Multi-label Classification System with Class-balanced Loss Function and Ensemble Module ACL 2023
Adam-Smith at SemEval-2023 Task 4: Discovering Human Values in Arguments with Ensembles of Transformer-based Models ACL 2023
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization ICML 2023
Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System ACL 2023
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing ACL 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling ICML 2023
Generating EDU Extracts for Plan-Guided Summary Re-Ranking ACL 2023
Learned Adapters Are Better Than Manually Designed Adapters ACL 2023
Lookaround Optimizer: $k$ steps around, 1 step average NIPS 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models NIPS 2023
Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation EMNLP 2023
DREAM: Deployment of Recombination and Ensembles in Argument Mining EMNLP 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model EMNLP 2023
Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP 2023
Adapter Pruning using Tropical Characterization EMNLP 2023
DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy Analysis ACL 2023
Train-Once-for-All Personalization CVPR 2023
Walter Burns at SemEval-2023 Task 5: NLP-CIMAT - Leveraging Model Ensembles for Clickbait Spoiling ACL 2023
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure AUTOML 2023
An Empirical Study of Multimodal Model Merging EMNLP 2023