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2019

自然语言计算机形式分析的理论与方法笔记(Ch16)

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AI
Machine Translation
NLP

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Recents

COPO：基于认知模式的 Step-Level Agentic RL 优化
LLM 的下一步：从“会答”到“会想”——Planning as Data 与思考范式重构
探寻实时学习新路径：挖掘极致高效的“子空间微调”
RL新范式：从经验到更高质量数据——我们不再训练模型，而是在制造数据
Training-Free RL：当“训练”不再更新参数，而是更新上下文

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RESTRAIN RFE RGR RHO RHO-1 RL RLHF RM RM-R1 RMSE RMSProp RNN ROC RWD Rank RaspberryPi Raspberrypi Reasoning Recall Recommendation Recursion Reduction Reformer Regex Regular Expression Reinforce++ Reinforcement Learning Relationship Extraction Representation Reqular Expressions Retrieving Reward RoBERTa RolePlay Rotated Sorted Array Rust SAPO SCFG SGD SLM SMO SQL SRN SRT STAR-LDM STaR SVD++ SVM Scaling Scaling Law Seaborn Search Seed-Thinking Segmentation Selection-Inference Self-Attention Self-Verified Semantic Automatic Processing Semantic Similarity Senta Sentence Representation Sentence Similarity Sentence-BERT Sentiment Classification SentimentAnalysis Sentry Siamese Sigmoid SimCSE Similarity Simon Simple-Zoo Simpson Paradox Skill Skywork Reward Slide Smoothing Soft-SVM Softmax Sort Span Sparse Attention Spell Check Spurious Reward SqueezeBERT Stable LM Stack Stacking Statistics Stirling Strategic StratifiedKFold Streaming String Study Style Substring Summarization Supertagging 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