distribution alignment

Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment EMNLP 2025 Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning CVPR 2025 In-Context Editing: Learning Knowledge from Self-Induced Distributions ICLR 2025 Large Language Models Do Multi-Label Classification Differently EMNLP 2025 Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction EMNLP 2025 Learnware Specification via Dual Alignment ICML 2025 LLM Bias Detection and Mitigation through the Lens of Desired Distributions EMNLP 2025 Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025 Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation CVPR 2025 Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets EMNLP 2025 Multimodal Prior Learning with Double Constraint Alignment for Snapshot Spectral Compressive Imaging IJCAI 2025 Navigating Image Restoration with VAR's Distribution Alignment Prior CVPR 2025 NightReID: A Large-Scale Nighttime Person Re-Identification Benchmark AAAI 2025 Optimal Transport for Time Series Imputation ICLR 2025 Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport ICML 2025 Robust Image Hashing Based on Contrastive Masked Autoencoder with Weak-Strong Augmentation Alignment AAAI 2025 SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment EMNLP 2025 Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection CVPR 2025 ToDi: Token-wise Distillation via Fine-Grained Divergence Control EMNLP 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow ICCV 2025 Wasserstein Style Distribution Analysis and Transform for Stylized Image Generation ICCV 2025 BECLR: Batch Enhanced Contrastive Few-Shot Learning ICLR 2024 CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition NeurIPS 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024