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Programming is about automation in a wide variety of domains. Developing itself is one of those. As a side-effect, progress in automated coding may make people less willing to learn computer programming. This could become an issue, if the…

Programming Languages · Computer Science 2026-05-01 Attila Egri-Nagy

Constraint-logic object-oriented programming, for example using Muli, facilitates the integrated development of business software that occasionally involves finding solutions to constraint-logic problems. The availability of object-oriented…

Programming Languages · Computer Science 2019-07-03 Jan C. Dageförde

The paper introduces the principles of object-oriented translation for target machine which provides executing the sequences of elementary operations on persistent data presented as a set of relations (programmable relational system). The…

Databases · Computer Science 2013-04-09 Evgeniy Grigoriev

Language-orientated programming promises to elevate programmer productivity through increased abstrac- tion capabilities. Structural programming environments provide apparatus to reduce the difficulties with syntax. The language workbench,…

Programming Languages · Computer Science 2014-03-18 Gavin Wood

Consensus is an often occurring problem in concurrent and distributed programming. We present a programming language with simple semantics and build-in support for consensus in the form of communicating transactions. We motivate the need…

Programming Languages · Computer Science 2013-05-08 Carlo Spaccasassi , Vasileios Koutavas

Monads are a popular tool for the working functional programmer to structure effectful computations. This paper presents polymonads, a generalization of monads. Polymonads give the familiar monadic bind the more general type forall a,b. L a…

Programming Languages · Computer Science 2014-06-10 Michael Hicks , Gavin Bierman , Nataliya Guts , Daan Leijen , Nikhil Swamy

Large language models (LLMs) have transformed the development of embodied intelligence. By providing a few contextual demonstrations, developers can utilize the extensive internal knowledge of LLMs to effortlessly translate complex tasks…

Artificial Intelligence · Computer Science 2024-08-07 Aishan Liu , Yuguang Zhou , Xianglong Liu , Tianyuan Zhang , Siyuan Liang , Jiakai Wang , Yanjun Pu , Tianlin Li , Junqi Zhang , Wenbo Zhou , Qing Guo , Dacheng Tao

Recently, pretrained language models (PLMs) have had exceptional success in language generation. To leverage the rich knowledge encoded by PLMs, a simple yet powerful paradigm is to use prompts in the form of either discrete tokens or…

Computation and Language · Computer Science 2022-10-04 Tianyi Tang , Junyi Li , Wayne Xin Zhao , Ji-Rong Wen

We extend the {\lambda}-calculus with constructs suitable for relational and functional-logic programming: non-deterministic choice, fresh variable introduction, and unification of expressions. In order to be able to unify…

Programming Languages · Computer Science 2021-03-02 Pablo Barenbaum , Federico Lochbaum , Mariana Milicich

Is there a characteristic of coordination languages that makes them qualitatively different from general programming languages and deserves special academic attention? This report proposes a nuanced answer in three parts. The first part…

Software Engineering · Computer Science 2013-06-17 Raphael 'kena' Poss

Analysis tools like abstract interpreters, symbolic execution tools and testing tools usually require a proper context to give useful results when analyzing a particular function. Such a context initializes the function parameters and…

Programming Languages · Computer Science 2017-09-15 Michele Alberti , Julien Signoles

Software developers compose systems from components written in many different languages. A business-logic component may be written in Java or OCaml, a resource-intensive component in C or Rust, and a high-assurance component in Coq. In this…

Programming Languages · Computer Science 2017-11-15 Daniel Patterson , Amal Ahmed

Recently, leveraging pre-trained Large Language Models (LLMs) for time series (TS) tasks has gained increasing attention, which involves activating and enhancing LLMs' capabilities. Many methods aim to activate LLMs' capabilities based on…

Machine Learning · Computer Science 2026-01-08 Yuxiao Hu , Qian Li , Dongxiao Zhang , Jinyue Yan , Yuntian Chen

This paper presents the context-updates synthesis component of Chisel--a tool that synthesizes a program slicer directly from a given algebraic specification of a programming language operational semantics. (By context-updates we understand…

Programming Languages · Computer Science 2017-09-21 Irina Mariuca Asavoae , Mihail Asavoae , Adrian Riesco

Goal-oriented requirements variability modelling has established the understanding for adaptability in the early stage of software development-the Requirements Engineering phase. Goal-oriented requirements variability modelling considers…

Software Engineering · Computer Science 2019-05-17 Khavee Agustus Botangen , Jian Yu , Sira Yongchareon , LiangHuai Yang , Quan Bai

Context-aware applications process context information to support users in their daily tasks and routines. These applications can adapt their functionalities by aggregating context information through machine-learning and data processing…

Human-Computer Interaction · Computer Science 2018-05-24 Christoph Anderson , Isabel Suarez , Yaqian Xu , Klaus David

Large language models (LLMs) based on Transformer have been widely applied in the filed of natural language processing (NLP), demonstrating strong performance, particularly in handling short text tasks. However, when it comes to long…

Computation and Language · Computer Science 2025-07-09 Yijun Liu , Jinzheng Yu , Yang Xu , Zhongyang Li , Qingfu Zhu

Integrating architectural elements with a modern programming language is essential to ensure a smooth combination of architectural design and programming. In this position statement, we motivate a combination of architectural description…

Software Engineering · Computer Science 2014-09-09 Arne Haber , Jan Oliver Ringert , Bernhard Rumpe

Large language models (LLMs) are increasingly deployed for extended, multi-topic conversations, yet the flat, append-only structure of current conversation interfaces introduces a fundamental limitation: all context accumulates in a single…

Computation and Language · Computer Science 2026-03-24 Pranav Hemanth , Sampriti Saha

We present a concurrent framework for Win32 programming based on Concurrent ML, a concurrent language with higher-order functions, static typing, lightweight threads and synchronous communication channels. The key points of the framework…

Programming Languages · Computer Science 2007-05-23 Riccardo Pucella