activity
20162022
most citedMolScribe: Robust Molecular Structure Recognition with Image-To-Graph Generation

79 citations · 195 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2022★ 4 cited

Multi-Vector Retrieval as Sparse Alignment

Yujie Qian, Jinhyuk Lee, Sai Meher Karthik Duddu +5

Multi-vector retrieval models improve over single-vector dual encoders on many information retrieval tasks. In this paper, we cast the multi-vector retrieval problem as sparse alig…

cs.CV2022★ 79 cited

MolScribe: Robust Molecular Structure Recognition with Image-To-Graph Generation

Yujie Qian, Jiang Guo, Zhengkai Tu +3

Molecular structure recognition is the task of translating a molecular image into its graph structure. Significant variation in drawing styles and conventions exhibited in chemical…

cs.CL2021★ 7 cited

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding

Yanan Zheng, Jing Zhou, Yujie Qian +7

The few-shot natural language understanding (NLU) task has attracted much recent attention. However, prior methods have been evaluated under a disparate set of protocols, which hin…

cs.CL2021

GPT Understands, Too

Xiao Liu, Yanan Zheng, Zhengxiao Du +4

Prompting a pretrained language model with natural language patterns has been proved effective for natural language understanding (NLU). However, our preliminary study reveals that…

cs.CL2021★ 21 cited

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Zhengxiao Du, Yujie Qian, Xiao Liu +4

There have been various types of pretraining architectures including autoencoding models (e.g., BERT), autoregressive models (e.g., GPT), and encoder-decoder models (e.g., T5). How…

cs.CL2018★ 66 cited

GraphIE: A Graph-Based Framework for Information Extraction

Yujie Qian, Enrico Santus, Zhijing Jin +2

Most modern Information Extraction (IE) systems are implemented as sequential taggers and only model local dependencies. Non-local and non-sequential context is, however, a valuabl…

cs.AI2017★ 13 cited

A Probabilistic Framework for Location Inference from Social Media

Yujie Qian, Jie Tang, Zhilin Yang +3

We study the extent to which we can infer users' geographical locations from social media. Location inference from social media can benefit many applications, such as disaster mana…

cs.AI2016★ 4 cited

Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction

Yujie Qian, Yinpeng Dong, Ye Ma +2

Measuring research impact and ranking academic achievement are important and challenging problems. Having an objective picture of research institution is particularly valuable for…

cs.AI2016★ 1 cited

Weakly Learning to Match Experts in Online Community

Yujie Qian, Jie Tang, Kan Wu

In online question-and-answer (QA) websites like Quora, one central issue is to find (invite) users who are able to provide answers to a given question and at the same time would b…