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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.

  • Updated Dec 24, 2024
  • Python

LLM4uVis:基于大模型的历史人物不确定性推理可视分析系统 LLM4uVis是一款针对历史人物不确定性数据,可以进行多轮LLM自动推理,并对回答结果进行综合聚类和可视分析的系统。它针对时间、地点、人物和事件四类核心不确定性数据,对LLM各轮回答之间的相似推理逻辑进行语义聚类,并支持以桑基图形式展现多条推理路径及其逻辑差异,并可以选择一条或多条具体的推理链条进行进一步语义理解或横/纵向对比分析,专家可以对推理过程与结果进行交叉验证与标注。

  • Updated Nov 6, 2025
  • Vue

This project presents a Graph Neural Network (GNN)-based framework for predicting Drug-Drug Interactions (DDIs) using pretrained SMILES embeddings and Graph Attention Networks (GAT). Given the limitations of clinical studies and traditional computational methods in detecting complex DDIs.

  • Updated Sep 20, 2025
  • Jupyter Notebook

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