Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning.
Ziyun XuChengyu WangMinghui QiuFuli LuoRunxin XuSongfang HuangJun HuangPublished in: CoRR (2022)
Keyphrases
- end to end
- language model
- pre trained
- language modeling
- n gram
- probabilistic model
- information retrieval
- speech recognition
- query expansion
- e learning
- statistical language models
- document retrieval
- training data
- language modelling
- retrieval model
- language models for information retrieval
- test collection
- training examples
- learning environment
- video sequences
- learning process
- video data
- congestion control
- smoothing methods
- control signals
- visual features
- relevance model
- information retrieval systems
- image sequences
- data sets