113 citations · 949 across the 45 of their papers we have counts for
45 papers
Laboratory Study of Collisionless Magnetic Reconnection
H. Ji, J. Yoo, W. Fox +13
A concise review is given on the past two decades' results from laboratory experiments on collisionless magnetic reconnection in direct relation with space measurements, especially…
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Xuan Zhang, Limei Wang, Jacob Helwig +60
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating…
Zero-shot Faithful Factual Error Correction
Kung-Hsiang Huang, Hou Pong Chan, Heng Ji
Faithfully correcting factual errors is critical for maintaining the integrity of textual knowledge bases and preventing hallucinations in sequence-to-sequence models. Drawing on h…
Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation
Qi Zeng, Mankeerat Sidhu, Ansel Blume +3
Opinions in scientific research papers can be divergent, leading to controversies among reviewers. However, most existing datasets for opinion summarization are centered around pro…
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
Kung-Hsiang Huang, Hou Pong Chan, Kathleen McKeown +1
Considerable advancements have been made to tackle the misrepresentation of information derived from reference articles in the domains of fact-checking and faithful summarization.…
On weak solutions of a control-volume model for liquid films flowing down a fibre
Roman M. Taranets, Hangjie Ji, Marina Chugunova
This paper presents an analytical investigation of the solutions to a control volume model for liquid films flowing down a vertical fibre. The evolution of the free surface is gove…
Dynamic Global Memory for Document-level Argument Extraction
Xinya Du, Sha Li, Heng Ji
Extracting informative arguments of events from news articles is a challenging problem in information extraction, which requires a global contextual understanding of each document.…
Schema-Guided Event Graph Completion
Hongwei Wang, Zixuan Zhang, Sha Li +5
We tackle a new task, event graph completion, which aims to predict missing event nodes for event graphs. Existing link prediction or graph completion methods have difficulty deali…
Seeded Hierarchical Clustering for Expert-Crafted Taxonomies
Anish Saha, Amith Ananthram, Emily Allaway +2
Practitioners from many disciplines (e.g., political science) use expert-crafted taxonomies to make sense of large, unlabeled corpora. In this work, we study Seeded Hierarchical Cl…
A Weibo Dataset for the 2022 Russo-Ukrainian Crisis
Yi R. Fung, Heng Ji
Online social networks such as Twitter and Weibo play an important role in how people stay informed and exchange reactions. Each crisis encompasses a new opportunity to study the p…
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation
Kung-Hsiang Huang, Kathleen McKeown, Preslav Nakov +2
Despite recent advances in detecting fake news generated by neural models, their results are not readily applicable to effective detection of human-written disinformation. What lim…
Separating Skills and Concepts for Novel Visual Question Answering
Spencer Whitehead, Hui Wu, Heng Ji +2
Generalization to out-of-distribution data has been a problem for Visual Question Answering (VQA) models. To measure generalization to novel questions, we propose to separate them…
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
Liliang Ren, Chenkai Sun, Heng Ji +1
Text-to-Graph extraction aims to automatically extract information graphs consisting of mentions and types from natural language texts. Existing approaches, such as table filling a…
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension
Haoyang Wen, Anthony Ferritto, Heng Ji +2
Existing models on Machine Reading Comprehension (MRC) require complex model architecture for effectively modeling long texts with paragraph representation and classification, ther…
Learning Shared Semantic Space for Speech-to-Text Translation
Chi Han, Mingxuan Wang, Heng Ji +1
Having numerous potential applications and great impact, end-to-end speech translation (ST) has long been treated as an independent task, failing to fully draw strength from the ra…
MUSE: Textual Attributes Guided Portrait Painting Generation
Xiaodan Hu, Pengfei Yu, Kevin Knight +3
We propose a novel approach, MUSE, to illustrate textual attributes visually via portrait generation. MUSE takes a set of attributes written in text, in addition to facial features…
Global Attention for Name Tagging
Boliang Zhang, Spencer Whitehead, Lifu Huang +1
Many name tagging approaches use local contextual information with much success, but fail when the local context is ambiguous or limited. We present a new framework to improve name…
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Qingyun Wang, Qi Zeng, Lifu Huang +3
To assist human review process, we build a novel ReviewRobot to automatically assign a review score and write comments for multiple categories such as novelty and meaningful compar…
Modeling film flows down a fibre influenced by nozzle geometry
Hangjie Ji, Abolfazl Sadeghpour, Y. Sungtaek Ju +1
We study the effects of nozzle geometry on the dynamics of thin fluid films flowing down a vertical cylindrical fibre. Recent experiments show that varying the nozzle diameter can…
PaperRobot: Incremental Draft Generation of Scientific Ideas
Qingyun Wang, Lifu Huang, Zhiying Jiang +4
We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and co…
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
Ronald Cardenas, Ying Lin, Heng Ji +1
Unsupervised part of speech (POS) tagging is often framed as a clustering problem, but practical taggers need to \textit{ground} their clusters as well. Grounding generally require…
Improving Question Answering with External Knowledge
Xiaoman Pan, Kai Sun, Dian Yu +4
We focus on multiple-choice question answering (QA) tasks in subject areas such as science, where we require both broad background knowledge and the facts from the given subject-ar…
Correlation and Entanglement dynamics for two atoms distributed in two isolated thermal cavities
Rong-Can Yang, Lin Xin, Heng Ji +1
In this paper, correlation dynamics for two two-level atoms distributed in two isolated thermal cavities are studied, where the atomic state is initially prepared in a maximum enta…
Describing a Knowledge Base
Qingyun Wang, Xiaoman Pan, Lifu Huang +4
We aim to automatically generate natural language descriptions about an input structured knowledge base (KB). We build our generation framework based on a pointer network which can…