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20092026
most citedGeneralizing Across Domains via Cross-Gradient Training

337 citations · 699 across the 35 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 1 cited

Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers

Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi

Text-to-SQL parsers typically struggle with databases unseen during the train time. Adapting parsers to new databases is a challenging problem due to the lack of natural language q…

cs.CL2022★ 3 cited

Bootstrapping Multilingual Semantic Parsers using Large Language Models

Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta +3

Despite cross-lingual generalization demonstrated by pre-trained multilingual models, the translate-train paradigm of transferring English datasets across multiple languages remain…

cs.CL2022

Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding

Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi

Online alignment in machine translation refers to the task of aligning a target word to a source word when the target sequence has only been partially decoded. Good online alignmen…

cs.CL2022

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages

Vaidehi Patil, Partha Talukdar, Sunita Sarawagi

Pre-trained multilingual language models such as mBERT and XLM-R have demonstrated great potential for zero-shot cross-lingual transfer to low web-resource languages (LRL). However…

cs.CL2022

Adaptive Discounting of Implicit Language Models in RNN-Transducers

Vinit Unni, Shreya Khare, Ashish Mittal +3

RNN-Transducer (RNN-T) models have become synonymous with streaming end-to-end ASR systems. While they perform competitively on a number of evaluation categories, rare words pose a…