77 citations · 115 across the 5 of their papers we have counts for
8 papers
RedParrot: Accelerating NL-to-DSL for Business Analytics via Query Semantic Caching
Tong Wang, Yongqin Xu, Jianfeng Zhang +6
Recently, at Xiaohongshu, the rapid expansion of e-commerce and advertising demands real-time business analytics with high accuracy and low latency. To meet this demand, systems ty…
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang +5
Large Language Models (LLMs) have in recent years demonstrated impressive prowess in natural language generation. A common practice to improve generation diversity is to sample mul…
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation
Rui Meng, Tong Wang, Xingdi Yuan +2
Training keyphrase generation (KPG) models require a large amount of annotated data, which can be prohibitively expensive and often limited to specific domains. In this study, we f…
Better Language Model with Hypernym Class Prediction
He Bai, Tong Wang, Alessandro Sordoni +1
Class-based language models (LMs) have been long devised to address context sparsity in -gram LMs. In this study, we revisit this approach in the context of neural LMs. We hypot…
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations
Ying Lin, Han Wang, Jiangning Chen +5
The growing popularity of Virtual Assistants poses new challenges for Entity Resolution, the task of linking mentions in text to their referent entities in a knowledge base. Specif…
Neural Models for Key Phrase Detection and Question Generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan +3
We propose a two-stage neural model to tackle question generation from documents. First, our model estimates the probability that word sequences in a document are ones that a human…