model reuse

Building LLMs Like LEGO: Two-dimensional Architecture Reassembly of Large Language Models ACL 2026 Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems AAAI 2026 Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks AAAI 2026 A Unifying Perspective on Model Reuse: From Small to Large Pre-Trained Models IJCAI 2025 Identifying and Reusing Learnwares Across Different Label Spaces IJCAI 2025 Learnware Specification via Dual Alignment ICML 2025 Learnware Specification via Label-Aware Neural Embedding AAAI 2025 RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability AAAI 2025 Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks NeurIPS 2024 On the Ability of Developers' Training Data Preservation of Learnware NeurIPS 2024 Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data IJCAI 2023 Identifying Useful Learnwares for Heterogeneous Label Spaces ICML 2023 Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023 Reusing Pretrained Models by Multi-linear Operators for Efficient Training NeurIPS 2023 Where to start? Analyzing the potential value of intermediate models EMNLP 2023 bert2BERT: Towards Reusable Pretrained Language Models ACL 2022 Towards Enabling Learnware to Handle Unseen Jobs AAAI 2021 Towards Reusable Network Components by Learning Compatible Representations AAAI 2021 Towards Robust Model Reuse in the Presence of Latent Domains IJCAI 2021 Boosting-Based Reliable Model Reuse ACML 2020 Differentially Private Learning with Small Public Data AAAI 2020 Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NeurIPS 2020 Amalgamating Knowledge towards Comprehensive Classification AAAI 2019 Grading Uncompilable Programs AAAI 2019 Rapid Performance Gain through Active Model Reuse IJCAI 2019