Fine-Tuning

Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech ACL 2026 DecIF: Improving Instruction-Following through Decomposition ACL 2026 Decoupling Generalization and Adaptation in Meta-Learning for Large Language Models ACL 2026 Decoupling Vision and Language: Codebook Anchored Visual Adaptation CVPR 2026 d’Olle Grieze at SemEval-2026 Task 11: Comparing the Impact of Supervised Fine-Tuning and Activation Steering on Mitigating Content Effect Bias in Syllogistic Reasoning SemEval 2026 Domain Generalizable AI Guardrails with Augmented Policy Training ACL 2026 DualAxis AI at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis SemEval 2026 DUTH at SemEval-2026 Task 9: Joint Multilingual Fine-Tuning for Online Polarization Detection SemEval 2026 EasyV2V: A High-quality Instruction-based Video Editing Framework CVPR 2026 ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration ACL 2026 Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration UAI 2026 FAAR: Efficient Frequency-Aware Multi-Task Fine-Tuning via Automatic Rank Selection CVPR 2026 FE2E: From Editor to Dense Geometry Estimator CVPR 2026 FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion ACL 2026 Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning CVPR 2026 Fine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective ACL 2026 First Frame Is the Place to Go for Video Content Customization CVPR 2026 FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula Generation ACL 2026 For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs ACL 2026 From Selection to Refinement: Iterative Optimization for Instruction Data ACL 2026 GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models ACL 2026 Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients ACL 2026 GMFL: Efficient Global Masking for Federated LLM Fine-tuning ACL 2026 GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models ACL 2026 hdharpure at SemEval-2026 Task 3: BERT-Based Modeling and Prediction Behavior Analysis for Multilingual Valence–Arousal Scoring SemEval 2026