9 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
In-Context Learning Distillation for Efficient Few-Shot Fine-Tuning
Yifei Duan, Liu Li, Zirui Zhai +1
We applied few-shot in-context learning on the OPT-1.3B model for the natural language inference task and employed knowledge distillation to internalize the context information, re…
Towards Time-Aware Distant Supervision for Relation Extraction
Tianwen Jiang, Sendong Zhao, Jing Liu +5
Distant supervision for relation extraction heavily suffers from the wrong labeling problem. To alleviate this issue in news data with the timestamp, we take a new factor time into…
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie, Jinpeng Wang, Jin-Ge Yao +2
Recent neural models for data-to-text generation are mostly based on data-driven end-to-end training over encoder-decoder networks. Even though the generated texts are mostly fluen…
Incorporating Consistency Verification into Neural Data-to-Document Generation
Feng Nie, Hailin Chen, Jinpeng Wang +3
Recent neural models for data-to-document generation have achieved remarkable progress in producing fluent and informative texts. However, large proportions of generated texts do n…