contrastive training

ORSO QGen: Odds-Ratio Steerable Optimization for Controlling Question Generation EACL 2026 Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery AAAI 2026 CSPLADE: Learned Sparse Retrieval with Causal Language Models IJCNLP 2025 Effective post-training embedding compression via temperature control in contrastive training ICLR 2025 Efficient On-Device Text Simplification for Firefox with Synthetic Data Fine-Tuning EMNLP 2025 Large Language Models Are Overparameterized Text Encoders NAACL 2025 Poetry in RAGs: Modern Greek interwar poetry generation using RAG and contrastive training NAACL 2025 TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification ACL 2025 WEPO: Web Element Preference Optimization for LLM-based Web Navigation AAAI 2025 A Fixed-Point Approach to Unified Prompt-Based Counting AAAI 2024 C3Net: Compound Conditioned ControlNet for Multimodal Content Generation CVPR 2024 Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024 Distilling Vision-Language Models on Millions of Videos CVPR 2024 Evaluating alignment between humans and neural network representations in image-based learning tasks NeurIPS 2024 Generative Retrieval Meets Multi-Graded Relevance NeurIPS 2024 Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection WACV 2024 Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training NeurIPS 2024 Re3Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training EMNLP 2023 Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector CVPR 2020