Fine-Tuning

MotionEdit: Benchmarking and Learning Motion-Centric Image Editing CVPR 2026 NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating SemEval 2026 Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation ACL 2026 OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning CVPR 2026 Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning ACL 2026 Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework ACL 2026 Phrase-Grounding-Aware Supervised Fine-Tuning for Chart Recognition via Side-Masked Attention CVPR 2026 PlannerRFT: Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning CVPR 2026 PosterOmni: Generalized Artistic Poster Creation via Task Distillation and Unified Reward Feedback CVPR 2026 Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation ACL 2026 Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models ACL 2026 ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation ACL 2026 Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce ACL 2026 Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation CVPR 2026 Punctuation-Steered Representation Fine-Tuning ACL 2026 Reasoning Structure Matters for Safety Alignment of Reasoning Models ACL 2026 Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning ACL 2026 S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain CVPR 2026 SAJA: A Simple Approach to Judge Alignment for LLM-as-a-Judge ACL 2026 Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning ACL 2026 SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs ACL 2026 SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning ACL 2026 Select Before Use: On the Importance of Reference Model Selection in Preference Alignment ACL 2026 SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe ACL 2026 SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger ACL 2026