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Prakash Mandayam Comar

3 accepted papers

2025

In-Context Reinforcement Learning with Retrieval-Augmented Generation for Text-to-SQL

COLING 2025main

Text-to-SQL simplifies database interactions by enabling non-experts to convert their natural language (NL) questions to Structured Query Language (SQL) queries. With advancements in Large Language Models (LLM), in-context learning (ICL) has emerged as a popular choice for building Text-to-SQL syste…

Cited by 0SourcePDFScholar
2025

RxLens: Multi-Agent LLM-powered Scan and Order for Pharmacy

NAACL 2025industry

Automated construction of shopping cart frommedical prescriptions is a vital prerequisite forscaling up online pharmaceutical servicesin emerging markets due to the high prevalence of paper prescriptionsthat are challenging for customers to interpret.We present RxLens, a multi-step end-end Large Lan…

Cited by 0SourcePDFScholar
2024

DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete

EMNLP 2024industry

Query Auto-Complete (QAC) is an essential search feature that suggests users with a list of potential search keyword completions as they type, enabling them to complete their queries faster. While the QAC systems in eCommerce stores generally use the Learning to Rank (LTR) approach optimized based o…

Cited by 0SourcePDFScholar