Search Results for author: Sanjay Krishna Gouda

Found 4 papers, 2 papers with code

Constrained Decoding for Code Language Models via Efficient Left and Right Quotienting of Context-Sensitive Grammars

1 code implementation28 Feb 2024 Daniel Melcer, Nathan Fulton, Sanjay Krishna Gouda, Haifeng Qian

Large Language Models are powerful tools for program synthesis and advanced auto-completion, but come with no guarantee that their output code is syntactically correct.

Program Synthesis

Multi-lingual Evaluation of Code Generation Models

2 code implementations26 Oct 2022 Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

Using these benchmarks, we are able to assess the performance of code generation models in a multi-lingual fashion, and discovered generalization ability of language models on out-of-domain languages, advantages of multi-lingual models over mono-lingual, the ability of few-shot prompting to teach the model new languages, and zero-shot translation abilities even on mono-lingual settings.

Code Completion Code Translation +1

The 2019 BBN Cross-lingual Information Retrieval System

no code implementations LREC 2020 Le Zhang, Damianos Karakos, William Hartmann, Manaj Srivastava, Lee Tarlin, David Akodes, Sanjay Krishna Gouda, Numra Bathool, Lingjun Zhao, Zhuolin Jiang, Richard Schwartz, John Makhoul

In this paper, we describe a cross-lingual information retrieval (CLIR) system that, given a query in English, and a set of audio and text documents in a foreign language, can return a scored list of relevant documents, and present findings in a summary form in English.

Cross-Lingual Information Retrieval Machine Translation +4

Speech Recognition: Keyword Spotting Through Image Recognition

no code implementations10 Mar 2018 Sanjay Krishna Gouda, Salil Kanetkar, David Harrison, Manfred K. Warmuth

The problem of identifying voice commands has always been a challenge due to the presence of noise and variability in speed, pitch, etc.

Image Classification Keyword Spotting +2

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