10 citations · 17 across the 3 of their papers we have counts for
4 papers
End-to-End Stochastic Optimization with Energy-Based Model
Lingkai Kong, Jiaming Cui, Yuchen Zhuang +3
Decision-focused learning (DFL) was recently proposed for stochastic optimization problems that involve unknown parameters. By integrating predictive modeling with an implicitly di…
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data
Rui Feng, Chen Luo, Qingyu Yin +3
User sessions empower many search and recommendation tasks on a daily basis. Such session data are semi-structured, which encode heterogeneous relations between queries and product…
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
Rui Feng, Jie Yuan, Chao Zhang
We study the problem of event extraction from text data, which requires both detecting target event types and their arguments. Typically, both the event detection and argument dete…
Transformer-Based Neural Text Generation with Syntactic Guidance
Yinghao Li, Rui Feng, Isaac Rehg +1
We study the problem of using (partial) constituency parse trees as syntactic guidance for controlled text generation. Existing approaches to this problem use recurrent structures,…