embedding compression

CARVQ: Corrective Adaptor with Group Residual Vector Quantization for LLM Embedding Compression EMNLP 2025 CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems ACL 2025 Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings EMNLP 2025 Effective post-training embedding compression via temperature control in contrastive training ICLR 2025 EmByte: Decomposition and Compression Learning for Small yet Private NLP EMNLP 2025 ESE: Espresso Sentence Embeddings ICLR 2025 SMEC:Rethinking Matryoshka Representation Learning for Retrieval Embedding Compression EMNLP 2025 Text Anomaly Detection with Simplified Isolation Kernel EMNLP 2025 Further Compressing Distilled Language Models via Frequency-aware Partial Sparse Coding of Embeddings CoNLL 2024 Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever EMNLP 2024 Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform ACL 2024 T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings EMNLP 2024 WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild EMNLP 2024 Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction AAAI 2023 Mem-Rec: Memory Efficient Recommendation System using Alternative Representation ACML 2023 On the Dimensionality of Sentence Embeddings EMNLP 2023 Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking ACL 2022 Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation ACL 2022 Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder EMNLP 2022 From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables AAAI 2022 MorphTE: Injecting Morphology in Tensorized Embeddings NeurIPS 2022 The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NeurIPS 2022 Deep Learning meets Projective Clustering ICLR 2021 Direction is what you need: Improving Word Embedding Compression in Large Language Models ACL 2021 UMEC: Unified model and embedding compression for efficient recommendation systems ICLR 2021