19 citations · 19 across the 3 of their papers we have counts for
3 papers
MathRobust-LV: Evaluation of Large Language Models' Robustness to Linguistic Variations in Mathematical Reasoning
Neeraja Kirtane, Yuvraj Khanna, Peter Relan
Large language models excel on math benchmarks, but their math reasoning robustness to linguistic variation is underexplored. While recent work increasingly treats high-difficulty…
Generation of complex database queries and API calls from natural language utterances
Amol Kelkar, Nachiketa Rajpurohit, Utkarsh Mittal +1
Generating queries corresponding to natural language questions is a long standing problem. Traditional methods lack language flexibility, while newer sequence-to-sequence models re…
Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-ranker
Amol Kelkar, Rohan Relan, Vaishali Bhardwaj +3
To access data stored in relational databases, users need to understand the database schema and write a query using a query language such as SQL. To simplify this task, text-to-SQL…