5 citations · 8 across the 5 of their papers we have counts for
5 papers
ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics
Atin Sakkeer Hussain
This paper presents the Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics (ARTEMIS-DA), a novel framework designed to augment Large La…
MuMu-LLaMA: Multi-modal Music Understanding and Generation via Large Language Models
Shansong Liu, Atin Sakkeer Hussain, Qilong Wu +2
Research on large language models has advanced significantly across text, speech, images, and videos. However, multi-modal music understanding and generation remain underexplored d…
Large Language Models for Judicial Entity Extraction: A Comparative Study
Atin Sakkeer Hussain, Anu Thomas
Domain-specific Entity Recognition holds significant importance in legal contexts, serving as a fundamental task that supports various applications such as question-answering syste…
MUGen: Multi-modal Music Understanding and Generation with the Power of Large Language Models
Shansong Liu, Atin Sakkeer Hussain, Qilong Wu +2
The current landscape of research leveraging large language models (LLMs) is experiencing a surge. Many works harness the powerful reasoning capabilities of these models to compreh…
Music Understanding LLaMA: Advancing Text-to-Music Generation with Question Answering and Captioning
Shansong Liu, Atin Sakkeer Hussain, Chenshuo Sun +1
Text-to-music generation (T2M-Gen) faces a major obstacle due to the scarcity of large-scale publicly available music datasets with natural language captions. To address this, we p…