From 64169c71737039e05695c72c2dc62a008aa8d9a9 Mon Sep 17 00:00:00 2001 From: Mark Santolucito Date: Mon, 29 Jul 2024 08:42:19 -0400 Subject: [PATCH] push --- index.html | 403 +++++++++++++++------------------------ static/images/image1.png | Bin 0 -> 42124 bytes static/images/image2.png | Bin 0 -> 188661 bytes static/images/image3.png | Bin 0 -> 60972 bytes 4 files changed, 158 insertions(+), 245 deletions(-) create mode 100644 static/images/image1.png create mode 100644 static/images/image2.png create mode 100644 static/images/image3.png diff --git a/index.html b/index.html index 385fd1a..15821d4 100644 --- a/index.html +++ b/index.html @@ -1,40 +1,33 @@ + - - - - - - - - - - - - - - - + + + + + + + + + + - - + - - Academic Project Page + Grammar Filtering For Syntax-Guided Synthesis - - + - + @@ -44,58 +37,49 @@ - - +
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Academic Project Page

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Grammar Filtering For Syntax-Guided Synthesis

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Abstract

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Abstract

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+ Programming-by-example (PBE) generates functions from input-output examples but is often too slow for + real-time use. Traditional approaches use automated reasoning tools or machine learning techniques. This + paper proposes a hybrid system using machine learning to preprocess Syntax Guided Synthesis (SyGuS) + problems, reducing search space and enabling faster solutions. The system reduces the runtime of the 2019 + SyGuS Competition PBE Strings track winner by 47.65%, outperforming all competing tools. +

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Introduction

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+ Program synthesis automatically generates code to meet specifications, focusing on what the code should + achieve rather than how it's implemented. Where the specifications can be given as a set of constraints, + inferred from program environments, or derived from large data sets. PBE exemplifies this approach, where + users provide input-output examples to generate code that generalizes beyond the given examples. +

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+ The Syntax Guided Synthesis (SyGuS) format standardizes synthesis problems, defining constraints and + grammars to construct programs. However, the real-world applications often require larger grammars, + impacting synthesis efficiency. Hence, as per experimentation it is found out that by manually removing + some parts of the grammar, the synthesis times can be improved. +

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BibTeX

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