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2 days ago Sept. 2, 2026, 9:11 a.m. UTC
Qlib: 面向 AI 的量化投资平台 (中译)
#arxiv #paper #platform #qlib #quant #中译 arXiv:2009.11189 中文翻译版。微软研究院开源量化投资平台 Qlib 的白皮书：面向 AI 的模块化框架、平铺文件数据库 + 表达式引擎 + 两级缓存的高性能基础设施、以及与 HDF5/MySQL/MongoDB/InfluxDB 的性能对比。
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2 days ago Sept. 2, 2026, 8:48 a.m. UTC
R&D-Agent-Quant: 面向以数据为中心的因子与模型联合优化的多智能体框架 (中译)
#arxiv #llm-agent #multi-agent #paper #quant #中译 arXiv:2505.15155 (NeurIPS 2025, 微软亚洲研究院) 中文翻译版。量化研究全栈自动化：研究阶段生成假设，开发阶段由 Co-STEER 生成代码，真实市场回测后反馈驱动下一轮，多臂老虎机调度器决定改因子还是改模型。原文 https://arxiv.org/abs/2505.15155
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
09 · Tülu 3 — Pushing Frontiers in Open Post-Training
#ai2 #data #post-training #recipe 完整开源后训练配方，数据混合比例与消融全公开。当参考答案用，不当教材读
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
08 · Llama 2 — Open Foundation and Fine-Tuned Chat Models
#meta #post-training #reward-model #rlhf 唯一把 RM 工程细节写清楚的公开材料。只读 §3.2.2：margin loss + 双 RM
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
07 · DAPO — Open-Source LLM RL System at Scale
#bytedance #grpo #post-training #rlvr #verl GRPO 规模化会崩，这里给 4 个修法：clip-higher/动态采样/token-level loss/超长奖励整形。跑 verl 时读
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
06 · DeepSeek-R1 — Incentivizing Reasoning via RL
#deepseek #must-read #post-training #reasoning #rlvr RLVR 范式：纯 RL 长出 long CoT。读 §2.2 规则奖励 + §2.3 冷启动多阶段配方
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
05 · DeepSeekMath — GRPO 出处
#deepseek #grpo #must-read #post-training #rl GRPO：去 critic，组内采样均值当 baseline。读 §4.1 + §5.2.1（统一梯度视角，含金量最高）
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
04 · DPO — Your Language Model is Secretly a Reward Model
#alignment #dpo #must-read #post-training #stanford 从 PPO 的 KL 正则最优解反解 reward。读 §4 + Appendix A.1，必须自己纸上推一遍
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
03 · PPO — Proximal Policy Optimization Algorithms
#must-read #openai #post-training #ppo #rl RLHF/GRPO/DAPO 共用的 loss 骨架。只读 §3（2页）+ 公式(7)，Atari 部分全跳
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
02 · LoRA — Low-Rank Adaptation of Large Language Models
#lora #microsoft #must-read #peft #post-training 低秩重参数化 ΔW=BA，PEFT 全家的祖宗。读 §4 + §7.2，跳过 §6
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3 weeks ago Aug. 14, 2026, 9:33 a.m. UTC
01 · InstructGPT — Training LMs to Follow Instructions with Human Feedback
#must-read #openai #post-training #rlhf #sft 后训练范式源头：SFT→RM→PPO 三段式。重点读 §3 全部 + Fig.2
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1 month ago July 7, 2026, 11:10 p.m. UTC
CFG_2207.12598_cn_deepseek
#3模型对比-sample #deepseek DeepSeek (xopdeepseekv4pro) 三模型对比阶段翻译 CFG
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