102 citations · 160 across the 8 of their papers we have counts for
8 papers
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Xin Guo, Haotian Xia, Zhaowei Liu +14
Large language models have demonstrated outstanding performance in various natural language processing tasks, but their security capabilities in the financial domain have not been…
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
Juntao Li, Ruidan He, Hai Ye +3
Recent research indicates that pretraining cross-lingual language models on large-scale unlabeled texts yields significant performance improvements over various cross-lingual and l…
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
Zhiyong Wu, Yun Chen, Ben Kao +1
By introducing a small set of additional parameters, a probe learns to solve specific linguistic tasks (e.g., dependency parsing) in a supervised manner using feature representatio…
Incorporating Sememes into Chinese Definition Modeling
Liner Yang, Cunliang Kong, Yun Chen +3
Chinese definition modeling is a challenging task that generates a dictionary definition in Chinese for a given Chinese word. To accomplish this task, we construct the Chinese Defi…
Meta-Learning for Low-Resource Neural Machine Translation
Jiatao Gu, Yong Wang, Yun Chen +2
In this paper, we propose to extend the recently introduced model-agnostic meta-learning algorithm (MAML) for low-resource neural machine translation (NMT). We frame low-resource t…
A Stable and Effective Learning Strategy for Trainable Greedy Decoding
Yun Chen, Victor O. K. Li, Kyunghyun Cho +1
Beam search is a widely used approximate search strategy for neural network decoders, and it generally outperforms simple greedy decoding on tasks like machine translation. However…