Unsupervised hard Negative Augmentation for contrastive learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shu, Yuxuan, Lampos, Vasileios |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Machine-generated text detection prevents language model collapse
by: Drayson, George, et al.
Published: (2025)
by: Drayson, George, et al.
Published: (2025)
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
by: Shu, Yuxuan, et al.
Published: (2024)
by: Shu, Yuxuan, et al.
Published: (2024)
Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting
by: Shu, Yuxuan, et al.
Published: (2025)
by: Shu, Yuxuan, et al.
Published: (2025)
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
by: Çağatan, Ömer Veysel
Published: (2024)
by: Çağatan, Ömer Veysel
Published: (2024)
Injecting Wiktionary to improve token-level contextual representations using contrastive learning
by: Mosolova, Anna, et al.
Published: (2024)
by: Mosolova, Anna, et al.
Published: (2024)
What to align in multimodal contrastive learning?
by: Dufumier, Benoit, et al.
Published: (2024)
by: Dufumier, Benoit, et al.
Published: (2024)
Logical Negation Augmenting and Debiasing for Prompt-based Methods
by: Li, Yitian, et al.
Published: (2024)
by: Li, Yitian, et al.
Published: (2024)
Isolating authorship from content with semantic embeddings and contrastive learning
by: Huertas-Tato, Javier, et al.
Published: (2024)
by: Huertas-Tato, Javier, et al.
Published: (2024)
Data Augmentation for Classification of Negative Pregnancy Outcomes in Imbalanced Data
by: Biswas, Md Badsha
Published: (2025)
by: Biswas, Md Badsha
Published: (2025)
Multi-head attention debiasing and contrastive learning for mitigating Dataset Artifacts in Natural Language Inference
by: Sivakoti, Karthik
Published: (2024)
by: Sivakoti, Karthik
Published: (2024)
Negative to Positive Co-learning with Aggressive Modality Dropout
by: Magal, Nicholas, et al.
Published: (2025)
by: Magal, Nicholas, et al.
Published: (2025)
FaaF: Facts as a Function for the evaluation of generated text
by: Katranidis, Vasileios, et al.
Published: (2024)
by: Katranidis, Vasileios, et al.
Published: (2024)
Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning
by: Lai, Peichao, et al.
Published: (2024)
by: Lai, Peichao, et al.
Published: (2024)
Knowledge Augmented Finetuning Matters in both RAG and Agent Based Dialog Systems
by: Cai, Yucheng, et al.
Published: (2025)
by: Cai, Yucheng, et al.
Published: (2025)
AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data Augmentation
by: Meng, Rui, et al.
Published: (2022)
by: Meng, Rui, et al.
Published: (2022)
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding
by: Li, Dongyang, et al.
Published: (2024)
by: Li, Dongyang, et al.
Published: (2024)
Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic Approximation
by: Cao, Hongyu, et al.
Published: (2025)
by: Cao, Hongyu, et al.
Published: (2025)
SkillRAE: Agent Skill-Based Context Compilation for Retrieval-Augmented Execution
by: Meng, Xiangcheng, et al.
Published: (2026)
by: Meng, Xiangcheng, et al.
Published: (2026)
NaviRAG: Towards Active Knowledge Navigation for Retrieval-Augmented Generation
by: Dai, Jihao, et al.
Published: (2026)
by: Dai, Jihao, et al.
Published: (2026)
Self-Augmented In-Context Learning for Unsupervised Word Translation
by: Li, Yaoyiran, et al.
Published: (2024)
by: Li, Yaoyiran, et al.
Published: (2024)
Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding
by: Wang, Zijie, et al.
Published: (2026)
by: Wang, Zijie, et al.
Published: (2026)
Analyzing and Mitigating Negation Artifacts using Data Augmentation for Improving ELECTRA-Small Model Accuracy
by: Noghabaei, Mojtaba
Published: (2025)
by: Noghabaei, Mojtaba
Published: (2025)
What makes a word hard to learn? Modeling L1 influence on English vocabulary difficulty
by: Martins, Jonas Mayer, et al.
Published: (2026)
by: Martins, Jonas Mayer, et al.
Published: (2026)
Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues
by: Zhou, Jinfeng, et al.
Published: (2025)
by: Zhou, Jinfeng, et al.
Published: (2025)
Negation Neglect: When models fail to learn negations in training
by: Mayne, Harry, et al.
Published: (2026)
by: Mayne, Harry, et al.
Published: (2026)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients
by: Xu, Mingwei, et al.
Published: (2026)
by: Xu, Mingwei, et al.
Published: (2026)
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
by: Liu, Shuliang, et al.
Published: (2022)
by: Liu, Shuliang, et al.
Published: (2022)
Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation
by: Wang, Haoran, et al.
Published: (2025)
by: Wang, Haoran, et al.
Published: (2025)
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
by: Duan, Shitong, et al.
Published: (2024)
by: Duan, Shitong, et al.
Published: (2024)
PEO: Improving Bi-Factorial Preference Alignment with Post-Training Policy Extrapolation
by: Liu, Yuxuan
Published: (2025)
by: Liu, Yuxuan
Published: (2025)
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
by: Lampinen, Andrew Kyle, et al.
Published: (2025)
by: Lampinen, Andrew Kyle, et al.
Published: (2025)
Unsupervised Summarization Re-ranking
by: Ravaut, Mathieu, et al.
Published: (2022)
by: Ravaut, Mathieu, et al.
Published: (2022)
Recent Trends in Unsupervised Summarization
by: Khosravani, Mohammad, et al.
Published: (2023)
by: Khosravani, Mohammad, et al.
Published: (2023)
Negation-Induced Forgetting in LLMs
by: Capuano, Francesca, et al.
Published: (2025)
by: Capuano, Francesca, et al.
Published: (2025)
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli
by: Wang, Xu, et al.
Published: (2024)
by: Wang, Xu, et al.
Published: (2024)
ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation
by: Wang, Chenyu, et al.
Published: (2026)
by: Wang, Chenyu, et al.
Published: (2026)
DeepNote: Note-Centric Deep Retrieval-Augmented Generation
by: Wang, Ruobing, et al.
Published: (2024)
by: Wang, Ruobing, et al.
Published: (2024)
Unsupervised visualization of image datasets using contrastive learning
by: Böhm, Jan Niklas, et al.
Published: (2022)
by: Böhm, Jan Niklas, et al.
Published: (2022)
Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation
by: Sun, Xin, et al.
Published: (2026)
by: Sun, Xin, et al.
Published: (2026)
Similar Items
-
Machine-generated text detection prevents language model collapse
by: Drayson, George, et al.
Published: (2025) -
DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting
by: Shu, Yuxuan, et al.
Published: (2024) -
Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting
by: Shu, Yuxuan, et al.
Published: (2025) -
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
by: Çağatan, Ömer Veysel
Published: (2024) -
Injecting Wiktionary to improve token-level contextual representations using contrastive learning
by: Mosolova, Anna, et al.
Published: (2024)