conftrace_

adapter merging

10 papers

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Co-occurring keywords · papers mentioning both

parameter-efficient fine-tuning (4) low-rank adaptation (4) catastrophic forgetting (4) parameter efficiency (3) class-incremental learning (2) continual learning (2) large language model (1) semantic accuracy (1) storage efficiency (1) model surgery (1)

Papers

Completely Modular Fine-tuning for Dynamic Language Adaptation EACL 2026 LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging ACL 2026 Maastricht University at AMIYA: Adapting LLMs for Dialectal Arabic using Fine-tuning and MBR Decoding EACL 2026 Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning CVPR 2025 DAM: Dynamic Adapter Merging for Continual Video QA Learning WACV 2025 HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging EMNLP 2025 MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving OSDI 2024 Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 SemEval 2024 AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models EACL 2023