Fine-Tuning

ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation CVPR 2026 Adam’s Law: Textual Frequency Law on Large Language Models ACL 2026 Addressing the Ecological Fallacy in Larger LMs with Human Context CoNLL 2026 AFourP at SemEval-2026 Task 2: Predicting Variation in Emotional Valence and Arousal over Time from Ecological Essays SemEval 2026 A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task ACL 2026 AI4PC-Howard University at SemEval-2026 Task 2: Fine-Tuning DistilBERT, DeBERTa and ModernBERT for Valence–Arousal Prediction and Change Estimation SemEval 2026 A Layer-wise Analysis of Supervised Fine-Tuning ACL 2026 AnyPcc: Compressing Any Point Cloud with a Single Universal Model CVPR 2026 Beyond Code Pairs: Dialogue-Based Data Generation for LLM Code Translation ACL 2026 Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge ACL 2026 Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter CVPR 2026 Caraman at SemEval-2026 Task 8: Three-Stage Multi-Turn Retrieval with Query Rewriting, Hybrid Search, and Cross-Encoder Reranking SemEval 2026 CausalMinds at SemEval-2026 Task 12: Simple Fine-Tuning with Option Shuffling Outperforms Complex Pipelines for Abductive Event Reasoning SemEval 2026 Cherish at SemEval-2026 Task 2: Enhancing RoBERTa-Based Models for Emotional Valence and Arousal Prediction in Ecological Essays with Personalized PLoRA and Temporal Embeddings SemEval 2026 CodeHunters at SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios SemEval 2026 Compatibility-Aware Dynamic Fine-Tuning for Large Language Models ACL 2026 Concept-Guided Fine-Tuning: Steering ViTs away from Spurious Correlations to Improve Robustness CVPR 2026 Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration ACL 2026 Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas JMLR 2026 Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning ACL 2026 CoVFT: Context-aware Visual Fine-tuning for Multimodal Large Language Models CVPR 2026 CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think CVPR 2026 CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning CVPR 2026 CuriosAI at SemEval-2026 Task 4: A Comprehensive Study of Zero-Shot versus Fine-Tuned Approaches for Narrative Similarity SemEval 2026 Cycle-Consistent Tuning for Layered Image Decomposition CVPR 2026