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Commits on Sep 17, 2025

• Evaluate with macro-averaged per-sample F1; fix Jaccard edge cases; update prints/docs to match formulas

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Commits on Sep 16, 2025

• add submit code

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• feat(submit): ensure GPU inference via device_map=auto and input device fix; keep sampling on for predictions

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• add submit code

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Commits on Sep 15, 2025

• chip: add dev split from train (300 samples) and wire into conversion script; update evaluator default to use dev.json

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• chip: increase generation max_new_tokens to 1024 for medication evaluator

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Commits on Sep 14, 2025

• Update the prompt

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• update README

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• Polish README.md for chip directory

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• Add README.md for chip directory

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• Update .gitignore to exclude large dataset files

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• Fix data conversion script and simplify output format

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• Add drug frequency analysis and various improvements

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• Add support for .json format in dataset loading

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Commits on Aug 3, 2025

• feat: 添加合规顾问RAG系统CLI演示程序

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• 修复流式输出功能：1. 修复Streamlit Web应用中的流式输出问题，实现真正的实时显示 2. 简化流式输出界面，移除进度指示器和时间显示 3. 优化LLM客户端流式响应处理，提升用户体验 4. 解决CLI端正常但Web端延迟显示的问题

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• feat: 重构RAG系统，集中管理prompt模板并优化参考来源格式

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• feat: 更新README文档并删除冗余md文件

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Commits on Jul 31, 2025

• Add comprehensive evaluation framework and documentation

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• fix some bugs

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• update the aug/READEME.md

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Commits on Jul 29, 2025

• update readme

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• Update aug/README.md with current directory structure and visualization features

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• Update README with data augmentation features and remove unused inference files

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• Update data augmentation pipeline and inference servers

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Commits on Jul 26, 2025

• refactor: Reorganize aug folder structure for better maintainability

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• refactor: restructure project and fix bugs

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Commits on Jul 25, 2025

• feat: Enhanced GLM-4 Data Augmentation System for CMCC-34

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Commits on Jul 23, 2025

• rewrite gitinore

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Commits on Jul 19, 2025

• refactor: complete project restructuring and cleanup

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• docs: update README.md with comprehensive project documentation

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• docs: restructure project documentation and add Chinese README

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• fix: resolve retry logic issues and improve error handling

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• feat: add detailed retry logging for prediction failures

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• fix: resolve sklearn warnings and complete token analysis implementation

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