2024
Adaptive Reinforcement Tuning Language Models as Hard Data Generators for Sentence Representation
COLING 2024main
Sentence representation learning is a fundamental task in NLP. Existing methods use contrastive learning (CL) to learn effective sentence representations, which benefit from high-quality contrastive data but require extensive human annotation. Large language models (LLMs) like ChatGPT and GPT4 can a…