hard negative mining

MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation COLING 2025 Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings ACL 2025 NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models ICLR 2025 On Synthetic Data Strategies for Domain-Specific Generative Retrieval ACL 2025 The Distracting Effect: Understanding Irrelevant Passages in RAG ACL 2025 UMUTeam at SemEval-2025 Task 7: Multilingual Fact-Checked Claim Retrieval with XLM-RoBERTa and Self-Alignment Pretraining Strategy SemEval 2025 UniBuc-AE at SemEval-2025 Task 7: Training Text Embedding Models for Multilingual and Crosslingual Fact-Checked Claim Retrieval SemEval 2025 ADAM: Dense Retrieval Distillation with Adaptive Dark Examples ACL 2024 Centrality-aware Product Retrieval and Ranking EMNLP 2024 Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding CVPR 2024 Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning ACL 2024 Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt EMNLP 2024 Integration of Global and Local Representations for Fine-grained Cross-modal Alignment ECCV 2024 Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem ICLR 2024 MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities AAAI 2024 Navigating the Effect of Parametrization for Dimensionality Reduction NeurIPS 2024 Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation AAAI 2024 Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale EMNLP 2024 Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System EMNLP 2024 TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives NeurIPS 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024 A Benchmark and Asymmetrical-Similarity Learning for Practical Image Copy Detection AAAI 2023 Deep Semi-Supervised Metric Learning With Mixed Label Propagation CVPR 2023 Dissecting Deep Metric Learning Losses for Image-Text Retrieval WACV 2023 Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss NeurIPS 2023