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1
Deriving Probability Density Functions from Probabilistic Functional Programs
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Deriving Probability Density Functions from Probabilistic Functional Programs

Logical methods in computer science, 2017-01, Vol.13 (2) [Peer Reviewed Journal]

ISSN: 1860-5974 ;EISSN: 1860-5974 ;DOI: 10.23638/LMCS-13(2:16)2017

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2
DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI Data
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DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI Data

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.18315

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3
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis
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HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.15880

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4
Measure Transformer Semantics for Bayesian Machine Learning
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Measure Transformer Semantics for Bayesian Machine Learning

Logical methods in computer science, 2013-09, Vol.9, Issue 3 (3), p.11 [Peer Reviewed Journal]

ISSN: 1860-5974 ;EISSN: 1860-5974 ;DOI: 10.2168/LMCS-9(3:11)2013

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5
Large Language Models for Code Summarization
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Large Language Models for Code Summarization

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.19032

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6
Kotlin ML Pack: Technical Report
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Kotlin ML Pack: Technical Report

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.19250

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7
Scorch: A Library for Sparse Deep Learning
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Scorch: A Library for Sparse Deep Learning

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.16883

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8
AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning
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AbstractBeam: Enhancing Bottom-Up Program Synthesis using Library Learning

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.17514

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9
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
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Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.16450

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10
LLMs are Meaning-Typed Code Constructs
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LLMs are Meaning-Typed Code Constructs

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-sa/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2405.08965

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11
A Multi-Level Superoptimizer for Tensor Programs
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A Multi-Level Superoptimizer for Tensor Programs

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.05751

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12
Searching for Programmatic Policies in Semantic Spaces
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Searching for Programmatic Policies in Semantic Spaces

http://creativecommons.org/licenses/by/4.0 ;DOI: 10.48550/arxiv.2405.05431

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13
An LLM-Tool Compiler for Fused Parallel Function Calling
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An LLM-Tool Compiler for Fused Parallel Function Calling

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.17438

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14
Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts
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Improving LLM Classification of Logical Errors by Integrating Error Relationship into Prompts

arXiv.org, 2024-05

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2404.19336

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15
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning
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Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning

arXiv.org, 2022-08

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2208.02938

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16
LTL learning on GPUs
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LTL learning on GPUs

arXiv.org, 2024-03

2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by-nc-nd/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2402.12373

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17
WatChat: Explaining perplexing programs by debugging mental models
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WatChat: Explaining perplexing programs by debugging mental models

arXiv.org, 2024-03

2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.05334

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18
SoD$^2$: Statically Optimizing Dynamic Deep Neural Network
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SoD$^2$: Statically Optimizing Dynamic Deep Neural Network

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2403.00176

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19
SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly
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SLaDe: A Portable Small Language Model Decompiler for Optimized Assembly

arXiv.org, 2024-02

2024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.12520

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20
Efficient Bottom-Up Synthesis for Programs with Local Variables
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Efficient Bottom-Up Synthesis for Programs with Local Variables

arXiv.org, 2023-11

2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2311.03705

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