1 citations · 2 across the 11 of their papers we have counts for
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Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding
Smit Jivani, Sarvam Maheshwari, Sunita Sarawagi
Large language models (LLMs) have revolutionized Text-to-SQL generation, allowing users to query structured data using natural language with growing ease. Yet, real-world deploymen…
Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing
Manasi Patwardhan, Ayush Agarwal, Shabbirhussain Bhaisaheb +3
The performance of Large Language Models (LLMs) for translating Natural Language (NL) queries into SQL varies significantly across databases (DBs). NL queries are often expressed u…
SALSA: Speedy ASR-LLM Synchronous Aggregation
Ashish Mittal, Darshan Prabhu, Sunita Sarawagi +1
Harnessing pre-trained LLMs to improve ASR systems, particularly for low-resource languages, is now an emerging area of research. Existing methods range from using LLMs for ASR err…