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pro vyhledávání: '"Kothyari, Mayank"'
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 subsetti
Externí odkaz:
http://arxiv.org/abs/2311.01173
Autor:
Kothawade, Suraj, Mekala, Anmol, D, Chandra Sekhara, Kothyari, Mayank, Iyer, Rishabh, Ramakrishnan, Ganesh, Jyothi, Preethi
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 accen
Externí odkaz:
http://arxiv.org/abs/2110.04908
Autor:
Jain, Aman, Kothyari, Mayank, Kumar, Vishwajeet, Jyothi, Preethi, Ramakrishnan, Ganesh, Chakrabarti, Soumen
Multimodal IR, spanning text corpus, knowledge graph and images, called outside knowledge visual question answering (OKVQA), is of much recent interest. However, the popular data set has serious limitations. A surprisingly large fraction of queries d
Externí odkaz:
http://arxiv.org/abs/2103.05568