Towards General Text Embeddings with Multi-stage Contrastive Learning
Paper • 2308.03281 • Published • 3
Embeddings
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NEFTune: Noisy Embeddings Improve Instruction Finetuning
Paper • 2310.05914 • Published • 14 -
EELBERT: Tiny Models through Dynamic Embeddings
Paper • 2310.20144 • Published • 3 -
Dynamic Word Embeddings for Evolving Semantic Discovery
Paper • 1703.00607 • Published • 1 -
Dynamic Word Embeddings
Paper • 1702.08359 • Published • 1 -
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
Understanding and Improving Information Transfer in Multi-Task Learning
Paper • 2005.00944 • Published • 1 -
Split, Encode and Aggregate for Long Code Search
Paper • 2208.11271 • Published • 1 -
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
Paper • 2311.04589 • Published • 20 -
Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning
Paper • 2309.08708 • Published • 3 -
CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models
Paper • 2009.13964 • Published • 1 -
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Paper • 2305.17691 • Published • 1 -
Plug-and-Play Document Modules for Pre-trained Models
Paper • 2305.17660 • Published • 1 -
Identifying Linear Relational Concepts in Large Language Models
Paper • 2311.08968 • Published • 1 -
Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
Paper • 2304.01083 • Published • 1 -
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
Paper • 2311.04335 • Published • 1 -
Retrieve Anything To Augment Large Language Models
Paper • 2310.07554 • Published • 6 -
Nomic Embed: Training a Reproducible Long Context Text Embedder
Paper • 2402.01613 • Published • 17 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Uncovering hidden geometry in Transformers via disentangling position and context
Paper • 2310.04861 • Published -
Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality
Paper • 2010.12730 • Published -
CharBERT: Character-aware Pre-trained Language Model
Paper • 2011.01513 • Published -
Training Multilingual Pre-trained Language Model with Byte-level Subwords
Paper • 2101.09469 • Published -
Neural Machine Translation with Byte-Level Subwords
Paper • 1909.03341 • Published • 1 -
byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings
Paper • 2106.13302 • Published -
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
Paper • 2407.08818 • Published -
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining
Paper • 2311.08849 • Published • 6