18 papers · ranked by Valyu relevance
Jin Lu, Ji Li, Zheng Zhang
This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. Traditional educational Q&A systems face challenges in areas such as knowledge updates, reasoning accuracy, and the handling…
Gabriel Chua
As large language models (LLMs) increasingly integrate native code interpreters, they enable powerful real-time execution capabilities, substantially expanding their utility. However, such integrations introduce potential system-level cybersecurity threats, fundamentally different from promptbased vulnerabilities. To…
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu + 4 more
Refinement Authors: ['Tianyu Zheng' 'Ge Zhang' 'Tianhao Shen' 'Xueling Liu' 'Bill Lin' 'Jie Fu' 'Wenhu Chen' 'Xiang Yue'] The introduction of large language models has significantly advanced code generation. However, open-source models often lack the execution capabilities and iterative refinement of advanced systems…
Alexandr Basov, Daniel de Carvalho, Manuel Mazzara
—This paper describes how one can implement distributed λ-calculus interpreter from scratch. At first, we describe how to implement a monadic parser, than the Krivine Machine is introduced for the interpretation part and as for distribution, the actor model is used. In this work we are not providing general solution…
Mironov Sp
Reproducibility Authors: ['Mironov Sp'] Litrepl is a lightweight text processing tool designed to recognize and evaluate code sections within Markdown or LATEX documents. This functionality is useful for both batch document section evaluation and interactive coding within a text editor, provided a straightforward…
Marcos Macedo, Yuan Tian, Pengyu Nie, Filipe R. Cogo + 1 more
LLM-based Code Translation Authors: ['Marcos Macedo' 'Yuan Tian' 'Pengyu Nie' 'Filipe R. Cogo' 'Bram Adams'] Abstract—Code translation aims to convert a program from one programming language (PL) to another. This long-standing software engineering task is crucial for modernizing legacy systems, ensuring cross-platform…
Patricia Hudelson, Thomas Perneger, Véronique Kolly, Noëlle Junod Perron + 1 more
'Noëlle Junod Perron' 'Susanne Hempel'] Background Specific knowledge and skills are needed to work effectively with an interpreter, but most doctors have received limited training. Self-assessed competency may not accurately identify training needs. Purposes The purpose of this study is to explore the association…
Nicole Blay, Sharelle Ioannou, Marika Seremetkoska, Jenny Morris + 3 more
'Gael Holters' 'Verily Thomas' 'Everett Bronwyn'] Background Few people with limited English proficiency are provided with the services of a healthcare interpreter when admitted to hospital. This retrospective study utilised health administrative data to explore which patients with limited English proficiency were…
Yufan Huang, Mengnan Qi, Yongqiang Yao, Maoquan Wang + 3 more
'Colin B. Clement' 'Neel Sundaresan'] Software version migration and program translation are an important and costly part of the lifecycle of large codebases. Traditional machine translation relies on parallel corpora for supervised translation, which is not feasible for program translation due to a dearth of aligned…
Manuele Simi, Fabien Campagne, Keith Crandall
Language WorkBenches (LWBs) are software engineering tools that help domain experts develop solutions to various classes of problems. Some of these tools focus on non-technical users and provide languages to help organize knowledge while other workbenches provide means to create new programming languages. A key…
Hung Q. Vo, Huy Q. Vo, Son T. Ly, Zhihao Wan + 5 more
Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, basic morphological feature extraction, and spatial organization analysis. However, these tools often require manual intervention and are not well integrated with code-driven automation…
Yusuke Kijima, Daniel Evans-Yamamoto, Hiromi Toyoshima, Nozomu Yachie
Massively parallel DNA sequencing has led to the rapid growth of highly multiplexed experiments in biology. Such experiments produce unique sequencing results that require specific analysis pipelines to decode highly structured reads. However, no versatile framework that interprets sequencing reads for downstream…
K. M. Tahsin Hassan Rahit, Rashidul Hasan Nabil, Md Hasibul Huq
Making computer programming language more understandable and easy for the human is a longstanding problem. From assembly language to present day's object-oriented programming, concepts came to make programming easier so that a programmer can focus on the logic and the architecture rather than the code and language…
Johannes Roth, Yunyan Duan, Florian P. Mahner, Philipp Kaniuth + 2 more
'Thomas S. A. Wallis' 'Martin N. Hebart'] Writing code is becoming essential for psychology and neuroscience research, supporting increasingly advanced experimental designs, processing of ever-larger datasets and easy reproduction of scientific results. Despite its critical role, coding remains challenging for many…
Jacqueline A Jansen, Artür Manukyan, Nour Al Khoury, Altuna Akalin
Data analysis is constrained by a shortage of skilled experts, particularly in biology, where detailed data interpretation is vital for understanding complex biological processes and developing new treatments and diagnostics. To address this, we developed mergen, an R package that leverages Large Language Models (LLMs)…
Pieter Floris Jacobs, Robert Pollice
Scientists across domains are often challenged to master domain-specific languages (DSLs) for their research, which are merely a means to an end but are pervasive in fields like computational chemistry. Automated code generation promises to overcome this barrier, allowing researchers to focus on their core expertise.…
Authors not listed
Bayesian optimization (BO) has become increasingly important for experimental optimization across scientific domains, yet implementing BO pipelines requires significant programming expertise and familiarity with specialized frameworks. This creates a barrier for domain experts who could benefit from BO but lack the…
Yixiang Ruan, Chenyin Lu, Ning Xu, Jian Zhang + 8 more
The rapid emergence of large language model (LLM) technology presents significant opportunities to facilitate the development of synthetic reactions. In this work, we leveraged the power of GPT-4 to build a multi-agent system to handle fundamental tasks involved throughout the chemical synthesis development process.…