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Mayank Kothyari

3 accepted papers

2025

Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing

NAACL 2025long

LLMs are increasingly used as seq2seq translators from natural language utterances to structured programs, a process called semantic interpretation. Unlike atomic labels or token sequences, programs are naturally represented as abstract syntax trees (ASTs). Such structured representation raises nove…

2023

CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL

EMNLP 2023long main

Existing Text-to-SQL generators require the entire schema to be encoded with the user text. This is expensive or impractical for large databases with tens of thousands of columns. Standard dense retrieval techniques are inadequate for schema subsetting of a large structured database, where the cor…

Cited by 0SourcecodeScholar
2023

DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation

ACL 2023long

State-of-the-art Automatic Speech Recognition (ASR) systems are known to exhibit disparate performance on varying speech accents. To improve performance on a specific target accent, a commonly adopted solution is to finetune the ASR model using accent-specific labeled speech. However, acquiring larg…

Cited by 8SourcePDFScholar