activity
20182023
most citedURLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

193 citations · 565 across the 21 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 1 cited

CinPatent: Datasets for Patent Classification

Minh-Tien Nguyen, Nhung Bui, Manh Tran-Tien +2

Patent classification is the task that assigns each input patent into several codes (classes). Due to its high demand, several datasets and methods have been introduced. However, t…

cs.IR2022

Improving Document Image Understanding with Reinforcement Finetuning

Bao-Sinh Nguyen, Dung Tien Le, Hieu M. Vu +3

Successful Artificial Intelligence systems often require numerous labeled data to extract information from document images. In this paper, we investigate the problem of improving t…

cs.CV2022★ 21 cited

LAVIS: A Library for Language-Vision Intelligence

Dongxu Li, Junnan Li, Hung Le +3

We introduce LAVIS, an open-source deep learning library for LAnguage-VISion research and applications. LAVIS aims to serve as a one-stop comprehensive library that brings recent a…

cs.LG2022★ 90 cited

CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Hung Le, Yue Wang, Akhilesh Deepak Gotmare +2

Program synthesis or code generation aims to generate a program that satisfies a problem specification. Recent approaches using large-scale pretrained language models (LMs) have sh…

cs.AI2022★ 2 cited

Multimodal Dialogue State Tracking

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Designed for tracking user goals in dialogues, a dialogue state tracker is an essential component in a dialogue system. However, the research of dialogue state tracking has largely…

cs.LG2022★ 23 cited

OmniXAI: A Library for Explainable AI

Wenzhuo Yang, Hung Le, Tanmay Laud +2

We introduce OmniXAI (short for Omni eXplainable AI), an open-source Python library of eXplainable AI (XAI), which offers omni-way explainable AI capabilities and various interpret…

cs.AI2022

Make The Most of Prior Data: A Solution for Interactive Text Summarization with Preference Feedback

Duy-Hung Nguyen, Nguyen Viet Dung Nghiem, Bao-Sinh Nguyen +4

For summarization, human preference is critical to tame outputs of the summarizer in favor of human interests, as ground-truth summaries are scarce and ambiguous. Practical setting…