4 citations · 7 across the 6 of their papers we have counts for
6 papers
A Quantitative Review on Language Model Efficiency Research
Meng Jiang, Hy Dang, Lingbo Tong
Language models (LMs) are being scaled and becoming powerful. Improving their efficiency is one of the core research topics in neural information processing systems. Tay et al. (20…
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Zhihan Zhang, Wenhao Yu, Zheng Ning +2
Contrast consistency, the ability of a model to make consistently correct predictions in the presence of perturbations, is an essential aspect in NLP. While studied in tasks such a…
Large Language Models are Built-in Autoregressive Search Engines
Noah Ziems, Wenhao Yu, Zhihan Zhang +1
Document retrieval is a key stage of standard Web search engines. Existing dual-encoder dense retrievers obtain representations for questions and documents independently, allowing…
On the Relationship Between Counterfactual Explainer and Recommender
Gang Liu, Zhihan Zhang, Zheng Ning +1
Recommender systems employ machine learning models to learn from historical data to predict the preferences of users. Deep neural network (DNN) models such as neural collaborative…
Heterogeneous Line Graph Transformer for Math Word Problems
Zijian Hu, Meng Jiang
This paper describes the design and implementation of a new machine learning model for online learning systems. We aim at improving the intelligent level of the systems by enabling…
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
Jinfeng Lin, Amrit Poudel, Wenhao Yu +3
Software requirements traceability is a critical component of the software engineering process, enabling activities such as requirements validation, compliance verification, and sa…