Search Results for author:
Found 3 papers, 2 papers with code
CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL
Standard dense retrieval techniques are inadequate for schema subsetting of a large structured database, where the correct semantics of retrieval demands that we rank sets of schema elements rather than individual elements.
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
To address this problem, we propose DITTO (Data-efficient and faIr Targeted subseT selectiOn) that uses Submodular Mutual Information (SMI) functions as acquisition functions to find the most informative set of utterances matching a target accent within a fixed budget.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
In response, we identify a key structural idiom in OKVQA , viz., S3 (select, substitute and search), and build a new data set and challenge around it.
