2021

预训练模型的过去、现在和未来

F 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 Swap System T5 TF-IDF THW TIS TRPO TRT TS3-Codec TTRL TTS Tagging Talkie TanH TensorBay Tensorflow Test Text Classification Text Generation Text Normalization TextCNN TextRank Thinking Thought TiDAR TinyLoRA Tokenizer Transformer Transformer-XL Tree Treebank Tuning Tutorial Ubuntu UniLM Unity Operation Unix Unsupervised Elicitation UserCF VAPO VITS Vagrant Valence Vector Semantics Verifier Virtual Network VirtualBox Visualization Viterbi Vocabulary Learning VoiceAgent Voila Voting W2NER WOE Web Server Multithreaded Server Wide Word2vec Work World Model XLNet XTTS Z-Score Zero-Short Zero-Shot Zero-shot ZhouZhihua Zipf Ziya antigravity attention sink bias binning context emacs few-shot ffmpeg gated attention gpt-oss harmony format jpype kanban knowledge Graph lightinfer motion node2vec oat-zero off-by-one attention orz pararun promptlog s1 skill spec ssh str trae vim vlc