3 papers
cs.CL2025
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
Thomas Cook, Kelly Patel, Sivapriya Vellaichamy +4
Large Language Models (LLMs) can generate SQL queries from natural language questions but struggle with database-specific schemas and tacit domain knowledge. We introduce a framewo…
cs.CL2025
Hybrid Graphs for Table-and-Text based Question Answering using LLMs
Ankush Agarwal, Ganesh S, Chaitanya Devaguptapu
Answering questions that require reasoning and aggregation across both structured (tables) and unstructured (raw text) data sources presents significant challenges. Current methods…
cs.LG2025
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
Harit Vishwakarma, Alan Mishler, Thomas Cook +3
Large language models (LLMs) are empowering decision-making in several applications, including tool or API usage and answering multiple-choice questions (MCQs). However, incorrect…