58 citations · 131 across the 11 of their papers we have counts for
12 papers
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP
Mohsinul Kabir, Mohammed Saidul Islam, Md Tahmid Rahman Laskar +3
Large Language Models (LLMs) have emerged as one of the most important breakthroughs in NLP for their impressive skills in language generation and other language-specific tasks. Th…
UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning
Ahmed Masry, Parsa Kavehzadeh, Xuan Long Do +2
Charts are very popular for analyzing data, visualizing key insights and answering complex reasoning questions about data. To facilitate chart-based data analysis using natural lan…
CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia
Md Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan +2
Debatepedia is a publicly available dataset consisting of arguments and counter-arguments on controversial topics that has been widely used for the single-document query-focused ab…
SeeChart: Enabling Accessible Visualizations Through Interactive Natural Language Interface For People with Visual Impairments
Md Zubair Ibne Alam, Shehnaz Islam, Enamul Hoque
Web-based data visualizations have become very popular for exploring data and communicating insights. Newspapers, journals, and reports regularly publish visualizations to tell com…
Chart Question Answering: State of the Art and Future Directions
Enamul Hoque, Parsa Kavehzadeh, Ahmed Masry
Information visualizations such as bar charts and line charts are very common for analyzing data and discovering critical insights. Often people analyze charts to answer questions…
Chart-to-Text: A Large-Scale Benchmark for Chart Summarization
Shankar Kantharaj, Rixie Tiffany Ko Leong, Xiang Lin +4
Charts are commonly used for exploring data and communicating insights. Generating natural language summaries from charts can be very helpful for people in inferring key insights t…
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
Ahmed Masry, Do Xuan Long, Jia Qing Tan +2
Charts are very popular for analyzing data. When exploring charts, people often ask a variety of complex reasoning questions that involve several logical and arithmetic operations.…
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
The Query Focused Text Summarization (QFTS) task aims at building systems that generate the summary of the text document(s) based on the given query. A key challenge in addressing…
Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model
Jason Obeid, Enamul Hoque
Information visualizations such as bar charts and line charts are very popular for exploring data and communicating insights. Interpreting and making sense of such visualizations c…
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
Pre-training a transformer-based model for the language modeling task in a large dataset and then fine-tuning it for downstream tasks has been found very useful in recent years. On…
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
In the Query Focused Multi-Document Summarization (QF-MDS) task, a set of documents and a query are given where the goal is to generate a summary from these documents based on the…
Searching the Visual Style and Structure of D3 Visualizations
Enamul Hoque, Maneesh Agrawala
We present a search engine for D3 visualizations that allows queries based on their visual style and underlying structure. To build the engine we crawl a collection of 7860 D3 visu…