6 papers
An Iterative LangGraph Agent for Text-to-SQL: Natural Language Access to the Chicago Crime Database
Vigneshwar Ravi Rao, Rupesh Swarnakar, Fayeq Jeelani Syed†
Non-technical stakeholders frequently cannot write the SQL needed to extract insights from operational databases. We built and evaluated a Text-to-SQL agent that closes this gap en…
Trustworthy Agentic AI: Failure Modes, Mitigation Strategies, and a Lifecycle Framework for Autonomous LLM Systems
Fayeq Jeelani Syed, Rehan Ahmad, Ali Al Bataineh +1
Agentic AI systems built on large language models can plan over multiple steps, use external tools, retain information in memory, and coordinate with other agents. These capabiliti…
Analyzing Public Discourse on Urbanism: Topic Clustering, Sentiment Analysis and Retrieval-Augmented Generation using YouTube Comments
Jakob Morales, Monica Hegde, Fayeq Jeelani Syed
Online discourse about urban issues - walkability, cycling infrastructure, public transit, housing density, and street safety - is voluminous but unstructured, and existing city-ev…
Context-Aware Dialectal Arabic Machine Translation with Interactive Region and Register Selection
Afroza Nowshin, Prithweeraj Acharjee Porag, Haziq Jeelani +1
Current Machine Translation (MT) systems for Arabic often struggle to account for dialectal diversity, frequently homogenizing dialectal inputs into Modern Standard Arabic (MSA) an…
From Text to Returns: Using Large Language Models for Mutual Fund Portfolio Optimization and Risk-Adjusted Allocation
Abrar Hossain, Mufakir Qamar Ansari, Haziq Jeelani +2
Generative AI (GenAI) has enormous potential for improving two critical areas in investing, namely portfolio optimization (choosing the best combination of assets) and risk managem…
Optimizing Medical Question-Answering Systems: A Comparative Study of Fine-Tuned and Zero-Shot Large Language Models with RAG Framework
Tasnimul Hassan, Md Faisal Karim, Haziq Jeelani +3
Medical question-answering (QA) systems can benefit from advances in large language models (LLMs), but directly applying LLMs to the clinical domain poses challenges such as mainta…