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Large-Language Models (LLMs) are changing the way learners acquire knowledge outside the classroom setting. Previous studies have shown that LLMs seem effective in generating to short and simple questions in introductory CS courses using…

Programming Languages · Computer Science 2026-03-09 Yihan Zhang , Brigitte Pientka , Xujie Si

Large Language Models (LLMs) require sophisticated prompting, yet current practices face challenges in structure, data integration, format sensitivity, and tooling. Existing methods lack comprehensive solutions for organizing complex…

Human-Computer Interaction · Computer Science 2025-08-20 Yuge Zhang , Nan Chen , Jiahang Xu , Yuqing Yang

PLACES 2015 (full title: Programming Language Approaches to Concurrency- and Communication-Centric Software) is the eighth edition of the PLACES workshop series. After the first PLACES, which was affiliated to DisCoTec in 2008, the workshop…

Programming Languages · Computer Science 2016-02-11 Simon Gay , Jade Alglave

The field of machine learning (ML) has gained widespread adoption, leading to significant demand for adapting ML to specific scenarios, which is yet expensive and non-trivial. The predominant approaches towards the automation of solving ML…

Machine Learning · Computer Science 2024-02-20 Lei Zhang , Yuge Zhang , Kan Ren , Dongsheng Li , Yuqing Yang

LLM Ensemble -- which involves the comprehensive use of multiple large language models (LLMs), each aimed at handling user queries during downstream inference, to benefit from their individual strengths -- has gained substantial attention…

This volume contains the proceedings of the Twelfth International Workshop on the ACL2 Theorem Prover and Its Applications, ACL2'14, a two-day workshop held in Vienna, Austria, on July 12-13, 2014. ACL2 workshops occur at approximately…

Logic in Computer Science · Computer Science 2014-06-06 Freek Verbeek , Julien Schmaltz

This volume contains the proceedings of ACL2 2011, the International Workshop on the ACL2 Theorem Prover and its Applications. The workshop was held in Austin, Texas, USA, on November 3-4 2011. ACL2 2011 is the tenth in a series of…

Logic in Computer Science · Computer Science 2011-10-21 David Hardin , Julien Schmaltz

The development of Machine Learning (ML) based systems is complex and requires multidisciplinary teams with diverse skill sets. This may lead to communication issues or misapplication of best practices. Process models can alleviate these…

Software Engineering · Computer Science 2024-08-29 Sergio Morales , Robert Clarisó , Jordi Cabot

This volume contains the proceedings of the Fourteenth International Workshop on the ACL2 Theorem Prover and Its Applications, ACL2 2017, a two-day workshop held in Austin, Texas, USA, on May 22-23, 2017. ACL2 workshops occur at…

Logic in Computer Science · Computer Science 2017-05-03 Anna Slobodova , Warren Hunt

This volume contains the proceedings of the 1st International Workshop on Applicable Formal Methods (AppFM 2021), 23 November 2021, held online as part of the 24th International Symposium on Formal Methods (FM). The aim of the AppFM…

Software Engineering · Computer Science 2021-11-16 Mario Gleirscher , Jaco van de Pol , Jim Woodcock

The goal of the BabyLM is to stimulate new research connections between cognitive modeling and language model pretraining. We invite contributions in this vein to the BabyLM Workshop, which will also include the 4th iteration of the BabyLM…

Similar to other programming models, compilers for SYCL, the open programming model for heterogeneous computing based on C++, would benefit from access to higher-level intermediate representations. The loss of high-level structure and…

Programming Languages · Computer Science 2023-12-21 Ettore Tiotto , Víctor Pérez , Whitney Tsang , Lukas Sommer , Julian Oppermann , Victor Lomüller , Mehdi Goli , James Brodman

The rapid advancement of large language models has opened new avenues for automating complex problem-solving tasks such as algorithmic coding and competitive programming. This paper introduces a novel evaluation technique, LLM-ProS, to…

Computation and Language · Computer Science 2026-03-03 Md Sifat Hossain , Anika Tabassum , Md. Fahim Arefin , Tarannum Shaila Zaman

Large Language Models (LLMs) have facilitated the definition of autonomous intelligent agents. Such agents have already demonstrated their potential in solving complex tasks in different domains. And they can further increase their…

Software Engineering · Computer Science 2025-06-30 Adem Ait , Javier Luis Cánovas Izquierdo , Jordi Cabot

Conceptual Knowledge Markup Language (CKML) is an application of XML. Earlier versions of CKML followed rather exclusively the philosophy of Conceptual Knowledge Processing (CKP), a principled approach to knowledge representation and data…

Artificial Intelligence · Computer Science 2018-10-15 Robert E. Kent

This volume contains the joint proceedings of IMPEX 2017, the first workshop on Handling IMPlicit and EXplicit knowledge in formal system development and FM&MDD, the second workshop on Formal and Model-Driven Techniques for Developing…

Logic in Computer Science · Computer Science 2018-05-15 Régine Laleau , Dominique Méry , Shin Nakajima , Elena Troubitsyna

The DICE workshop explores the area of Implicit Computational Complexity (ICC), which grew out from several proposals to use logic and formal methods to provide languages for complexity-bounded computation (e.g. Ptime, Logspace…

Logic in Computer Science · Computer Science 2017-04-19 Guillaume Bonfante , Georg Moser

PLACES 2013 (full title: Programming Language Approaches to Concurrency- and Communication-cEntric Software) was the sixth edition of the PLACES workshop series. After the first PLACES, which was affiliated to DisCoTec in 2008, the workshop…

Programming Languages · Computer Science 2013-12-10 Nobuko Yoshida , Wim Vanderbauwhede

Requirements expressed in natural language are an indispensable artifact in the software development process, as all stakeholders can understand them. However, their ambiguity poses a persistent challenge. To address this issue,…

Software Engineering · Computer Science 2025-04-16 Mauro José Pacchiotti , Mariel Ale y Luciana Ballejos

Interactive Machine Learning (IML) is an iterative learning process that tightly couples a human with a machine learner, which is widely used by researchers and practitioners to effectively solve a wide variety of real-world application…

Machine Learning · Computer Science 2018-11-13 Liu Jiang , Shixia Liu , Changjian Chen