2 papers
cs.DB2026
Natural Language to What? A Vision for Intermediate Representations in NL-to-X Querying
Shengqi Li, Subhasis Dasgupta, Amarnath Gupta +1
Natural-language-initiated querying is usually framed as translation into a predetermined backend language such as SQL, Cypher, or SPARQL. That framing is appropriate when the sema…
cs.CL2025
Can LLMs Generate High-Quality Task-Specific Conversations?
Shengqi Li, Amarnath Gupta
This paper introduces a parameterization framework for controlling conversation quality in large language models. We explore nine key parameters across six dimensions that enable p…