activity
20172022
most citedSynchromesh: Reliable code generation from pre-trained language models

66 citations · 91 across the 5 of their papers we have counts for

collaborators

11 papers

cs.LG202266 cited

Synchromesh: Reliable code generation from pre-trained language models

Gabriel Poesia, Oleksandr Polozov, Vu Le +4

Large pre-trained language models have been used to generate code,providing a flexible interface for synthesizing programs from natural language specifications. However, they often…

cs.CL2021

KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers

Chia-Hsuan Lee, Oleksandr Polozov, Matthew Richardson

The goal of database question answering is to enable natural language querying of real-life relational databases in diverse application domains. Recently, large-scale datasets such…

cs.LG2021

Programming Puzzles

Tal Schuster, Ashwin Kalyan, Oleksandr Polozov +1

We introduce a new type of programming challenge called programming puzzles, as an objective and comprehensive evaluation of program synthesis, and release an open-source dataset o…

cs.LG202025 cited

Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"

Saeed Amizadeh, Hamid Palangi, Oleksandr Polozov +2

Visual reasoning tasks such as visual question answering (VQA) require an interplay of visual perception with reasoning about the question semantics grounded in perception. However…

cs.LG2019

Program Synthesis and Semantic Parsing with Learned Code Idioms

Richard Shin, Miltiadis Allamanis, Marc Brockschmidt +1

Program synthesis of general-purpose source code from natural language specifications is challenging due to the need to reason about high-level patterns in the target program and l…

cs.SE2019

Are My Invariants Valid? A Learning Approach

Vincent J. Hellendoorn, Premkumar T. Devanbu, Oleksandr Polozov +1

Ensuring that a program operates correctly is a difficult task in large, complex systems. Enshrining invariants -- desired properties of correct execution -- in code or comments ca…