9 citations · 19 across the 5 of their papers we have counts for
5 papers
Jacobian-Adaptive Weighting for Stability: Enhancing Long-term Rollout of Neural Partial Differential Equation Solvers via Spatially-Adaptive Regularization
Fengxiang Nie, Yasuhiro Suzuki
Data-driven surrogate models can significantly accelerate the simulation of continuous dynamical systems, yet the step-wise accumulation of errors during autoregressive time-steppi…
Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration
Feng Nie, Meixi Chen, Zhirui Zhang +1
Pre-trained language models (PLMs) have exhibited remarkable few-shot learning capabilities when provided a few examples in a natural language prompt as demonstrations of test inst…
Program Enhanced Fact Verification with Verbalization and Graph Attention Network
Xiaoyu Yang, Feng Nie, Yufei Feng +3
Performing fact verification based on structured data is important for many real-life applications and is a challenging research problem, particularly when it involves both symboli…
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…