senteval

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AndreaCossu / continual-pretraining-nlp-vision

Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2205.09357

sentiment-analysis transformers image-classification pretrained-models self-supervised lifelong-learning continual-learning forgetting senteval qnli masked-language-models masked-image-modeling

Updated Oct 23, 2023
Jupyter Notebook

sileod / pragmeval

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Discourse Based Evaluation of Language Understanding

Updated Jan 28, 2023
Jupyter Notebook

EsterHlav / Quantitative-Comparison-NLP-Embeddings-from-GloVe-to-RoBERTa

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Fair quantitative comparison of NLP embeddings from GloVe to RoBERTa with Sequential Bayesian Optimization fine-tuning using Flair and SentEval. Extension of HyperOpt library to log_b priors.

natural-language-processing word2vec pytorch embeddings transformer seq2seq hyperopt glove bayesian-optimization flair bert roberta elmo transformer-xl senteval

Updated Sep 4, 2019
Jupyter Notebook

DolbyUUU / Reinforcement-Calibration-SimCSE

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Reinforcement Calibration SimCSE, combining contrastive learning, artificial potential fields, perceptual loss, and RLHF to achieve improved Semantic Textual Similarity (STS) embeddings. PyTorch-based implementations of PerceptualBERT and ForceBasedInfoNCE, along with fine-tuning capabilities via RLHF and evaluation using SentEval.

nlp semantic-textual-similarity sentence-embeddings self-supervised-learning senteval contrastive-learning simcse rlhf artificial-potential-fields