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20232026
most citedOpen-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

2 citations · 9 across the 23 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CL2024★ 2 cited

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Shayekh Bin Islam, Md Asib Rahman, K S M Tozammel Hossain +3

Retrieval-Augmented Generation (RAG) has been shown to enhance the factual accuracy of Large Language Models (LLMs), but existing methods often suffer from limited reasoning capabi…

cs.CL2024★ 1 cited

DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts

Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez +2

Data-driven storytelling is a powerful method for conveying insights by combining narrative techniques with visualizations and text. These stories integrate visual aids, such as hi…

cs.AI2024

ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild

Ahmed Masry, Megh Thakkar, Aayush Bajaj +3

Given the ubiquity of charts as a data analysis, visualization, and decision-making tool across industries and sciences, there has been a growing interest in developing pre-trained…

cs.CL2024★ 2 cited

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations

Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari +10

Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough…

cs.CL2024★ 1 cited

Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs

Mohammed Saidul Islam, Raian Rahman, Ahmed Masry +3

Natural language is a powerful complementary modality of communication for data visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural langu…

cs.CL2024

ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning

Ahmed Masry, Mehrad Shahmohammadi, Md Rizwan Parvez +2

Charts provide visual representations of data and are widely used for analyzing information, addressing queries, and conveying insights to others. Various chart-related downstream…