hard negative sampling

Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026 LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection ACL 2026 UCSC NLP at SemEval-2026 Task 10: Boundary-Aware Span Extraction and RoBERTa Classification for Conspiracy Detection SemEval 2026 Boosting Data Utilization for Multilingual Dense Retrieval EMNLP 2025 Clustering-based Hard Negative Sampling for Supervised Contrastive Speaker Verification Interspeech 2025 Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation ACL 2025 MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment SemEval 2025 Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level Captions CVPR 2025 Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings ACL 2025 On Synthetic Data Strategies for Domain-Specific Generative Retrieval ACL 2025 QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval ICML 2025 RaDeR: Reasoning-aware Dense Retrieval Models EMNLP 2025 TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification ACL 2025 Uncertainty-Aware Contrastive Learning with Hard Negative Sampling for Code Search Tasks AAAI 2025 Efficient Dynamic Hard Negative Sampling for Dialogue Selection ACL 2024 Improving Event Definition Following For Zero-Shot Event Detection ACL 2024 Label-aware Hard Negative Sampling Strategies with Momentum Contrastive Learning for Implicit Hate Speech Detection ACL 2024 Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization AAAI 2024 Understanding Hyperbolic Metric Learning Through Hard Negative Sampling WACV 2024 AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NeurIPS 2023 Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training CVPR 2023 Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions EACL 2023 Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation ICCV 2023 VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching ICCV 2023 RényiCL: Contrastive Representation Learning with Skew Rényi Divergence NeurIPS 2022