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Found 3 papers, 1 papers with code
UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning
In this paper, we propose a Unified framework for Long-term Memory Conversations (UniMC), which increases the connection between different stages by learning relevance representation.
Distinguishability Calibration to In-Context Learning
When using prompt-based learning for text classification, the goal is to use a pre-trained language model (PLM) to predict a missing token in a pre-defined template given an input text, which can be mapped to a class label.
Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with BERT-CRF Model
Computational chemistry develops fast in recent years due to the rapid growth and breakthroughs in AI.
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