Distractor Analysis and Selection for Multiple-Choice Cloze Questions for Second-Language Learners. - Lingyu Gao; Kevin Gimpel; Arnar Thor Jensson (BEA@ACL, 2020)

A Cross-Task Analysis of Text Span Representations. - Shubham Toshniwal; Haoyue Shi 001; Bowen Shi; Lingyu Gao; Karen Livescu; Kevin Gimpel (RepL4NLP@ACL, 2020)

How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection. - Xiaomeng Ma 001; Lingyu Gao (AACL/IJCNLP (1), 2022)

"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation. - Lingyu Gao; Debanjan Ghosh; Kevin Gimpel (*SEM@NAACL-HLT, 2022)

How does the value co-creation of e-commerce platform and manufacturers affect channel performance? The moderating role of innovation capability and market turbulence. - Leinan Zhang; Wei Yang; Liu Yang; Lingyu Gao (Electron. Commer. Res. Appl., 2022)

Multiscale Perspectives on an Extreme Warm-Sector Rainfall Event over Coastal South China. - Yiliang Pu; Sheng Hu; Yali Luo; Xiantong Liu; Lihua Hu; Langming Ye; Huiqi Li; Feng Xia 008; Lingyu Gao (Remote. Sens., 2022)

ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind. - Xiaomeng Ma 001; Lingyu Gao; Qihui Xu (CoNLL, 2023)

The Benefits of Label-Description Training for Zero-Shot Text Classification. - Lingyu Gao; Debanjan Ghosh; Kevin Gimpel (EMNLP, 2023)

Ambiguity-Aware In-Context Learning with Large Language Models. - Lingyu Gao; Aditi Chaudhary; Krishna Srinivasan; Kazuma Hashimoto; Karthik Raman 001; Michael Bendersky (CoRR, 2023)

Evaluating Transformer Models and Human Behaviors on Chinese Character Naming. - Xiaomeng Ma 001; Lingyu Gao (Trans. Assoc. Comput. Linguistics, 2023)

Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settings. - Lingyu Gao (CoRR, 2024)