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The process of designing neural architectures requires expert knowledge and extensive trial and error. While automated architecture search may simplify these requirements, the recurrent neural network (RNN) architectures generated by…

Computation and Language · Computer Science 2017-12-22 Martin Schrimpf , Stephen Merity , James Bradbury , Richard Socher

Learning neural program embeddings is key to utilizing deep neural networks in program languages research --- precise and efficient program representations enable the application of deep models to a wide range of program analysis tasks.…

Software Engineering · Computer Science 2019-07-12 Ke Wang , Zhendong Su

Accurate representation of procedures in restricted scenarios, such as non-standardized scientific experiments, requires precise depiction of constraints. Unfortunately, Domain-specific Language (DSL), as an effective tool to express…

Robotics · Computer Science 2024-10-31 Yu-Zhe Shi , Haofei Hou , Zhangqian Bi , Fanxu Meng , Xiang Wei , Lecheng Ruan , Qining Wang

We introduce IsalProgram (Instruction Set and Language for Programming), a novel assembly-like programming language with three distinctive theoretical properties: (1) it is a regular language in the sense of formal language theory, meaning…

Programming Languages · Computer Science 2026-05-19 Ezequiel López-Rubio

Large language models (LLMs) are changing the way researchers interact with code and data in scientific computing. While their ability to generate general-purpose code is well established, their effectiveness in producing scientifically…

Software Engineering · Computer Science 2026-05-25 Ethan Holbrook , Juan C. Verduzco , Alejandro Strachan

The escalating data scale in High-Energy Physics (HEP) fuels a growing aspiration for higher analytical efficiency. While Large Language Models (LLMs) offer a path toward automation via agentic AI, they struggle with complex scientific…

High Energy Physics - Experiment · Physics 2026-05-05 Junkun Jiao , Tong Liu , Ke Li , Weimin Song , Yipu Liao , Bolun Zhang , Beijiang Liu , Chang-Zheng Yuan , Yue Sun

A C decompiler converts an executable into source code. The recovered C source code, once re-compiled, is expected to produce an executable with the same functionality as the original executable. With over twenty years of development, C…

Software Engineering · Computer Science 2023-11-30 Wai Kin Wong , Huaijin Wang , Zongjie Li , Zhibo Liu , Shuai Wang , Qiyi Tang , Sen Nie , Shi Wu

Heterogeneous deep learning systems (DLS) such as GPUs and ASICs have been widely deployed in industrial data centers, which requires to develop multiple low-level tensor programs for different platforms. An attractive solution to relieve…

Computation and Language · Computer Science 2025-05-06 Shouyang Dong , Yuanbo Wen , Jun Bi , Di Huang , Jiaming Guo , Jianxing Xu , Ruibai Xu , Xinkai Song , Yifan Hao , Xuehai Zhou , Tianshi Chen , Qi Guo , Yunji Chen

For a class L of languages let PDL[L] be an extension of Propositional Dynamic Logic which allows programs to be in a language of L rather than just to be regular. If L contains a non-regular language, PDL[L] can express non-regular…

Logic in Computer Science · Computer Science 2011-06-08 Markus Latte

Large Language Models (LLMs) often struggle with complex mathematical reasoning, where prose-based generation leads to unverified and arithmetically unsound solutions. Current prompting strategies like Chain of Thought still operate within…

Computation and Language · Computer Science 2026-01-27 Sina Bagheri Nezhad , Yao Li , Ameeta Agrawal

The development of domain-specific languages (DSLs) is a laborious and iterative process that seems to naturally lean to the use of generative artificial intelligence. We design and prototype DSL Assistant, a tool that integrates generative…

Software Engineering · Computer Science 2024-08-20 My M. Mosthaf , Andrzej Wąsowski

This article is about an implementation and compilation technique that is used in RAW-Feldspar which is a complete rewrite of the Feldspar embedded domain-specific language (EDSL) (Axelsson et al. 2010). Feldspar is high-level functional…

Computation and Language · Computer Science 2018-04-20 Emil Axelsson

This paper presents a hybrid methodology that enhances the training process of deep learning (DL) models by embedding domain expert knowledge using ontologies and answer set programming (ASP). By integrating these symbolic AI methods, we…

Artificial Intelligence · Computer Science 2025-06-10 Fadi Al Machot , Martin Thomas Horsch , Habib Ullah

Speculative decoding is a technique that uses multiple language models to accelerate infer- ence. Previous works have used an experi- mental approach to optimize the throughput of the inference pipeline, which involves LLM training and can…

Computation and Language · Computer Science 2026-03-13 Amirhossein Bozorgkhoo , Igor Molybog

We consider transmission over a binary-input additive white Gaussian noise channel using low-density parity-check codes. One of the most popular techniques for decoding low-density parity-check codes is the linear programming decoder. In…

Information Theory · Computer Science 2015-03-19 Shrinivas Kudekar , Jason K. Johnson , Misha Chertkov

Logic Programming languages and combinational circuit synthesis tools share a common "combinatorial search over logic formulae" background. This paper attempts to reconnect the two fields with a fresh look at Prolog encodings for the…

Logic in Computer Science · Computer Science 2008-12-18 Paul Tarau , Brenda Luderman

Many computational tasks can be naturally expressed as a composition of a DNN followed by a program written in a traditional programming language or an API call to an LLM. We call such composites "neural programs" and focus on the problem…

Machine Learning · Computer Science 2024-11-01 Alaia Solko-Breslin , Seewon Choi , Ziyang Li , Neelay Velingker , Rajeev Alur , Mayur Naik , Eric Wong

Empirical software engineering research often depends on datasets of code repository artifacts, where sampling strategies are employed to enable large-scale analyses. The design and evaluation of these strategies are critical, as they…

Software Engineering · Computer Science 2026-04-10 Romain Lefeuvre , Maïwenn Le Goasteller , Jessie Galasso , Benoit Combemale , Quentin Perez , Houari Sahraoui

Code completion is a prominent application of Large Language Models (LLMs) in software engineering. Due to the near real-time response requirements of this task, base models with small to medium-sized parameters are typically employed,…

Software Engineering · Computer Science 2025-09-18 Dongjun Yu , Xiao Yan , Zhenrui Li , Jipeng Xiao , Haochuan He , Yongda Yu , Hao Zhang , Guoping Rong , Xiaobo Huang

We present a technique for the automated verification of abstract models of multithreaded programs providing fresh name generation, name mobility, and unbounded control. As high level specification language we adopt here an extension of…

Logic in Computer Science · Computer Science 2007-05-23 Giorgio Delzanno
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