28 citations · 42 across the 6 of their papers we have counts for
6 papers
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
Nitish Joshi, Xiang Pan, He He
The term `spurious correlations' has been used in NLP to informally denote any undesirable feature-label correlations. However, a correlation can be undesirable because (i) the fea…
Task Transfer and Domain Adaptation for Zero-Shot Question Answering
Xiang Pan, Alex Sheng, David Shimshoni +3
Pretrained language models have shown success in various areas of natural language processing, including reading comprehension tasks. However, when applying machine learning method…
A Roadmap for Big Model
Sha Yuan, Hanyu Zhao, Shuai Zhao +97
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. Researchers have achieved various outcomes in the c…
DataCLUE: A Benchmark Suite for Data-centric NLP
Liang Xu, Jiacheng Liu, Xiang Pan +2
Data-centric AI has recently proven to be more effective and high-performance, while traditional model-centric AI delivers fewer and fewer benefits. It emphasizes improving the qua…
Calculating Question Similarity is Enough: A New Method for KBQA Tasks
Hanyu Zhao, Sha Yuan, Jiahong Leng +4
Knowledge Base Question Answering (KBQA) aims to answer natural language questions with the help of an external knowledge base. The core idea is to find the link between the intern…
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Liang Xu, Xiaojing Lu, Chenyang Yuan +8
Pretrained Language Models (PLMs) have achieved tremendous success in natural language understanding tasks. While different learning schemes -- fine-tuning, zero-shot, and few-shot…