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conftrace_

pre-trained knowledge

12 papers

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Co-occurring keywords · papers mentioning both

low-rank adaptation (2) parameter-efficient fine-tuning (2) pre-trained model (2) transfer learning (2) few-shot learning (2) catastrophic forgetting (2) transformer-based model (1) knowledge alignment (1) knowledge localization (1) internal knowledge (1)

Papers

L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization AAAI 2026 Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers AAAI 2026 Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026 NILE: Internal Consistency Alignment in Large Language Models EMNLP 2025 Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection ICML 2025 PK-YOLO: Pretrained Knowledge Guided YOLO for Brain Tumor Detection in Multiplanar MRI Slices WACV 2025 Understanding Finetuning for Factual Knowledge Extraction ICML 2024 Can In-context Learners Learn a Reasoning Concept from Demonstrations? ACL 2023 Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge ACL 2023 Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning EMNLP 2021 CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems EMNLP 2020 Interventional Few-Shot Learning NeurIPS 2020