1 citations · 1 across the 4 of their papers we have counts for
4 papers
TARGET: Benchmarking Table Retrieval for Generative Tasks
Xingyu Ji, Parker Glenn, Aditya G. Parameswaran +1
The data landscape is rich with structured data, often of high value to organizations, driving important applications in data analysis and machine learning. Recent progress in repr…
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra
Parker Glenn, Parag Pravin Dakle, Liang Wang +1
Many existing end-to-end systems for hybrid question answering tasks can often be boiled down to a "prompt-and-pray" paradigm, where the user has limited control and insight into t…
Correcting Semantic Parses with Natural Language through Dynamic Schema Encoding
Parker Glenn, Parag Pravin Dakle, Preethi Raghavan
In addressing the task of converting natural language to SQL queries, there are several semantic and syntactic challenges. It becomes increasingly important to understand and remed…
Designing Multimodal Datasets for NLP Challenges
James Pustejovsky, Eben Holderness, Jingxuan Tu +4
In this paper, we argue that the design and development of multimodal datasets for natural language processing (NLP) challenges should be enhanced in two significant respects: to m…