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- 在 ReMe 初始化方法中添加 enable_profile 参数，默认值为 True - 根据 enable_profile 设置决定是否创建 profile 目录和设置 profile_dir - 在 PersonalSummarizer 中根据 enable_profile 条件性地添加个人资料相关工具 - 在 PersonalRetriever 中根据 enable_profile 条件性地添加 ReadAllProfiles 工具 - 修改 profile_path 属性以在禁用个人资料时返回 None - 修改 get_profile_handler 方法以在禁用个人资料时返回 None - 为 enable_profile 参数添加文档说明其用于云向量存储场景
- 移除未使用的shutil导入 - 将固定的ReMe实例改为每个问题创建独立实例以实现隔离 - 更新LLM配置名称从qwen3-max-think到qwen-max-t - 修改模型调用逻辑使用正确的model_name参数 - 添加qwen-flash和GPT-4o-mini等新模型配置 - 统一使用"User"作为用户名，通过集合名实现隔离 - 调整并发处理数从4降至1，批处理大小从10增至30 - 每个问题类型采样数从2增至4 - 添加异步上下文管理确保资源正确释放
- 将原有的 eval_model_name 替换为专门的 retrieve_model_name 用于检索操作 - 添加对 qwen-max 模型配置的支持 - 更新参数解析器以支持新的检索模型参数 - 修改最大并发数默认值从 1 提升到 4 - 调整样本数量默认值从 4 减少到 1 - 统一模型参数命名规范，区分摘要、检索和评估模型 - 优化内存处理器初始化逻辑，支持独立的检索模型配置
- 将LongMemEval评估脚本中的data_path参数改为必需参数 - 将HaluMem评估脚本中的data_path参数改为必需参数 - 删除了硬编码的默认文件路径配置 - 强制用户显式指定数据集文件路径以避免路径错误
- 移除了retrieve_memory调用中不需要的llm_config_name参数 - 修复了长字符串打印的换行格式问题 - 添加了eval_result为空时的初始化处理 - 在accuracy评估中加入了eval_model_name参数传递
# Conflicts: # benchmark/longmemeval/eval_longmemeval_reme.py
Terminal
# Conflicts: # benchmark/longmemeval/eval_longmemeval_reme.py
- 移除了多行字符串中的换行符和多余空格 - 将模型名称信息合并为单行连续显示 - 保持了原有的打印格式和信息完整性
# Conflicts: # reme/__init__.py
- 在英文版 README 中添加 🧪 Experiments 章节 - 添加 LoCoMo 和 HaluMem 两个基准测试的结果表格 - 在中文版 README_ZH 中添加 🧪 实验 章节 - 添加 LoCoMo 和 HaluMem 测试集的实验配置说明 - 添加完整的实验数据对比表格和评估协议说明
- 为基于文件的记忆系统添加锚点链接 - 为基于向量库的记忆系统添加锚点链接 - 修复英文文档中的链接格式 - 修复中文文档中的链接格式和空行问题
- Remove outdated experimental data placeholder "Coming soon..." - Add complete evaluation results for LoCoMo and HaluMem benchmarks - Include detailed performance metrics tables for all memory methods - Update experimental settings description with ReMe backbone details - Align evaluation protocol information with LLM-as-a-Judge approach - Maintain consistent formatting between English and Chinese documentation
# Conflicts: # README.md # README_ZH.md
# Conflicts: # README.md # README_ZH.md
…xperiments - Created HaluMem experiment quick start guide with ReMe integration setup - Added detailed steps for installing ReMe environment using conda - Included repository cloning instructions for HaluMem benchmark - Provided complete command examples for running HaluMem experiments - Created LongMeMEval quick start guide with data download procedures - Added wget commands for downloading cleaned dataset files - Included evaluation script instructions for computing experiment statistics - Documented parameter configurations for different model types and batch sizes
- Changed project name from Halumem to Longmemeval in title - Updated description to reference Longmemeval experiments instead of Halumem - Maintained existing ReMe integration instructions unchanged
- Added test comment in logger utility function - Removed duplicate log handling by keeping the remove() call
- Added test comment in logger utility function - Removed duplicate log handling by keeping the remove() call
- Added log_to_file parameter to Application class constructor - Integrated log_to_file option in logger initialization - Updated ServiceContext to support file logging configuration - Modified init_logger function to conditionally enable file logging - Added log_to_file field to ServiceConfig schema - Updated ReMe class to include file logging option - Wrapped file logging setup in conditional check to prevent unnecessary operations
jinliyl
approved these changes
Apr 9, 2026
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LGTM |
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