In this technical report, we release the Chinese Pre-trained Language Model (CPM) with generative pre-training on large-scale Chinese training data. To the best of our knowledge, CPM, with 2.6 billion parameters and 100GB Chinese training data, is the largest Chinese pre-trained language model...
Specifically, this PTLM consists of a two-LSTM-layers encoder and is pre-trained with a Bidirectional language model (BiLM) task using forward and backward language models. ELMo generates contextual representations to downstream tasks by shallowly concatenating the extracted context-sensitive features of...
小结:Use natural language prompts and add scenario-specific designs3.2 PLMs Are Gigantic→ Reducing the Number of Parameters How to reduce the Number of Parameters (1) Pre-train a large model, but use a smaller model for the downstream tasks...
1).从prompt库中抽取新的Prompt 2).用第二阶段的Reward Model给产生的回答打分,这个分数也就是整体的reward,进而将此reward回传,由此产生的策略梯度可以更新PPO模型参数,整个过程迭代数次直到模型收敛 可以简单理解为通过调整模型参数,使模型得到最大的奖励,最大奖励以为着此时的回复最符合人工的选择取向。 以上三个...
Artificial writing is permeating our lives due to recent advances in large-scale, transformer-based language models (LMs) such as BERT, GPT-2 and GPT-3. Using them as pre-trained models and fine-tuning them for specific tasks, researchers have extended t
Pre-trained Language Models Can be Fully Zero-Shot Learners Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li ACL 2023|July 2023 How can we extend a pre-trained model to many language understanding tasks, without labeled or additional unlabeled data? Pre-trained langu...
Second, the text tokens in the image-text datasets are too simple compared to normal language model pre-training data, making any small randomly initialized language models achieve the same perplexity with larger pre-trained ones, and causes the catastrophic degradation of language models' capability...
Enriching Pre-trained Language Model with Entity Information for Relation Classification论文阅读,程序员大本营,技术文章内容聚合第一站。
论文《CPM: A Large-scale Generative Chinese Pre-trained Language Model》,程序员大本营,技术文章内容聚合第一站。
In this work we study the presence of expert units in pre-trained Transformer Models (TM), and how they impact a model's performance. We define expert units to be neurons that are able to classify a concept with a given average precision, where a concept is represented by a binary set ...