Fine-Tuning

HiDRA: Hierarchical Degradation Representation and Adaptation with Generative Priors for Enhancing Infrared Vision CVPR 2026 How Instruction and Reasoning Data shape Post-Training: Data Quality through the Lens of Layer-wise Gradients ACL 2026 How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study ACL 2026 How to Improve LLMs’ Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity ACL 2026 Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement MIDL 2026 Instant Personalized Large Language Model Adaptation via Hypernetwork ACL 2026 InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning ACL 2026 LATE-iimas at SemEval-2026 Task 10: Conspiracy Detection via DeBERTa-v3 Ensemble and Weighted Loss Optimization SemEval 2026 LeapAlign: Post-training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories CVPR 2026 Learning Diverse Responses with Prefix-Conditioned Supervised Fine-Tuning ACL 2026 Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training ACL 2026 Learning from Oblivion: Predicting Knowledge-Overflowed Weights via Retrodiction of Forgetting CVPR 2026 Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models ACL 2026 Less is More: Data-Efficient Adaptation for Controllable Text-to-Video Generation CVPR 2026 Localized Low-Rank Adaptation within Clustered Parameter Subspaces ACL 2026 Long-Tail Internet Photo Reconstruction CVPR 2026 Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning ACL 2026 looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning SemEval 2026 LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging ACL 2026 Making Large Language Models Efficient Dense Retrievers ACL 2026 MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization CVPR 2026 MD2E: Modeling Depth-to-Edge Cues for Monocular Metric Depth Estimation CVPR 2026 MDS-VQA: Model-Informed Data Selection for Video Quality Assessment CVPR 2026 Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping CVPR 2026 Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning ACL 2026