activity
20212026
most citedDMDD: A Large-Scale Dataset for Dataset Mentions Detection

12 citations · 14 across the 10 of their papers we have counts for

collaborators

12 papers

eess.SY2026

A Single-Inductor N:1 Resonant Switched-Capacitor Ladder Converter with Efficient Continuous Voltage Conversion Capability

Sandeep Reddy Kukunuru, M Mahmudul Hasan Sajeeb, Rohit Reddy Karnaty +1

This paper presents an N:1 resonant switched-capacitor (ReSC) ladder converter of an output voltage that can be regulated continuously below the native N:1 resonant ratio while mai…

cs.IR2026

Making Revisions Understandable: A Survey of Edit Intentions, Methods, and Applications

Fangping Lan, Qi Zhang, Eduard Dragut

Text revision is a core process in document creation, capturing how authors iteratively refine, reorganize, and improve written content. With the increasing availability of large-s…

cs.AI2026

ERUnderstand: Evaluating Vision-Language Models on Structured ER Diagrams

Ali Ansari, Yasmin Mohammadi, Farnoush Nili +3

Entity-Relationship Diagrams (ERDs) are central to conceptual database design, yet they are typically available only as rendered images rather than machine-readable schemas, limiti…

cs.CL2026

Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition

Qi Zhang, Fangping Lan, Cornelia Caragea +2

In-context learning (ICL) with large language models (LLMs) has emerged as a powerful alternative to fine-tuning for Named Entity Recognition (NER), achieving strong performance wi…

cs.CL2025

Querying Climate Knowledge: Semantic Retrieval for Scientific Discovery

Mustapha Adamu, Qi Zhang, Huitong Pan +2

The growing complexity and volume of climate science literature make it increasingly difficult for researchers to find relevant information across models, datasets, regions, and va…

cs.CL2025

DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition

Qi Zhang, Huitong Pan, Zhijia Chen +3

Distantly Supervised Named Entity Recognition (DS-NER) has attracted attention due to its scalability and ability to automatically generate labeled data. However, distant annotatio…

cs.CL2024

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents

Qi Zhang, Zhijia Chen, Huitong Pan +3

Scientific information extraction (SciIE) is critical for converting unstructured knowledge from scholarly articles into structured data (entities and relations). Several datasets…

cs.CV2024★ 1 cited

FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding

Huitong Pan, Qi Zhang, Cornelia Caragea +2

Flowcharts are graphical tools for representing complex concepts in concise visual representations. This paper introduces the FlowLearn dataset, a resource tailored to enhance the…

cs.AI2024

SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions

Huitong Pan, Qi Zhang, Cornelia Caragea +2

We present SciDMT, an enhanced and expanded corpus for scientific mention detection, offering a significant advancement over existing related resources. SciDMT contains annotated s…

cs.CL2023★ 12 cited

DMDD: A Large-Scale Dataset for Dataset Mentions Detection

Huitong Pan, Qi Zhang, Eduard Dragut +2

The recognition of dataset names is a critical task for automatic information extraction in scientific literature, enabling researchers to understand and identify research opportun…

cs.CL2021

Opinion Prediction with User Fingerprinting

Kishore Tumarada, Yifan Zhang, Fan Yang +3

Opinion prediction is an emerging research area with diverse real-world applications, such as market research and situational awareness. We identify two lines of approaches to the…

cs.IR2021★ 1 cited

Stay on Topic, Please: Aligning User Comments to the Content of a News Article

Jumanah Alshehri, Marija Stanojevic, Eduard Dragut +1

Social scientists have shown that up to 50% if the content posted to a news article have no relation to its journalistic content. In this study we propose a classification algorith…