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Reinforcement-Calibration-SimCSE

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.

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

Creat：2024-12-24T22:24:22

Update：2025-01-16T09:30:58

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