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Large language models (LLMs) have demonstrated impressive performance across a wide range of Natural Language Processing (NLP) tasks. However, ensuring their effectiveness across multiple languages presents unique challenges. Multilingual…

Computation and Language · Computer Science 2025-05-20 Shubham Vatsal , Harsh Dubey , Aditi Singh

Code debugging is a crucial task in software engineering, which attracts increasing attention. While remarkable success has been made in the era of large language models (LLMs), current research still focuses on the simple no-library or…

Software Engineering · Computer Science 2025-06-18 Jinyang Huang , Xiachong Feng , Qiguang Chen , Hanjie Zhao , Zihui Cheng , Jiesong Bai , Jingxuan Zhou , Min Li , Libo Qin

Where and how language models (LMs) are deployed determines who can benefit from them. However, there are several challenges that prevent effective deployment of LMs in non-English-speaking and hardware constrained communities in the Global…

Computation and Language · Computer Science 2026-04-24 Lester James V. Miranda , Songbo Hu , Roi Reichart , Anna Korhonen

The impressive performance of large language models (LLMs) has attracted considerable attention from the academic and industrial communities. Besides how to construct and train LLMs, how to effectively evaluate and compare the capacity of…

Information Retrieval · Computer Science 2024-06-04 Zhumin Chu , Qingyao Ai , Yiteng Tu , Haitao Li , Yiqun Liu

How much large language models (LLMs) can aid scientific discovery, notably in assisting academic peer review, is in heated debate. Between a literature digest and a human-comparable research assistant lies their practical application…

Computation and Language · Computer Science 2025-08-19 Tianyi Li , Yu Qin , Olivia R. Liu Sheng

Large Language Models (LLMs) have gained significant attention in the medical domain for their human-level capabilities, leading to increased efforts to explore their potential in various healthcare applications. However, despite such a…

Artificial Intelligence · Computer Science 2024-10-25 Yifan Yang , Qiao Jin , Qingqing Zhu , Zhizheng Wang , Francisco Erramuspe Álvarez , Nicholas Wan , Benjamin Hou , Zhiyong Lu

With the rapid advancement of Multimodal Large Language Models (MLLMs), numerous evaluation benchmarks have emerged. However, comprehensive assessments of their performance across diverse industrial applications remain limited. In this…

Computation and Language · Computer Science 2025-01-29 Dongyi Yi , Guibo Zhu , Chenglin Ding , Zongshu Li , Dong Yi , Jinqiao Wang

The number of Language Models (LMs) dedicated to processing scientific text is on the rise. Keeping pace with the rapid growth of scientific LMs (SciLMs) has become a daunting task for researchers. To date, no comprehensive surveys on…

Computation and Language · Computer Science 2024-02-01 Xanh Ho , Anh Khoa Duong Nguyen , An Tuan Dao , Junfeng Jiang , Yuki Chida , Kaito Sugimoto , Huy Quoc To , Florian Boudin , Akiko Aizawa

The rise of Large Language Models (LLMs) has revolutionized natural language processing across numerous languages and tasks. However, evaluating LLM performance in a consistent and meaningful way across multiple European languages remains…

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

We aim to conduct a systematic mapping in the area of testing ML programs. We identify, analyze and classify the existing literature to provide an overview of the area. We followed well-established guidelines of systematic mapping to…

Machine Learning · Computer Science 2019-07-23 Salman Sherin , Muhammad Uzair khan , Muhammad Zohaib Iqbal

As a prominent direction of Artificial General Intelligence (AGI), Multimodal Large Language Models (MLLMs) have garnered increased attention from both industry and academia. Building upon pre-trained LLMs, this family of models further…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Chaoyou Fu , Yi-Fan Zhang , Shukang Yin , Bo Li , Xinyu Fang , Sirui Zhao , Haodong Duan , Xing Sun , Ziwei Liu , Liang Wang , Caifeng Shan , Ran He

Organizations rely on machine learning engineers (MLEs) to deploy models and maintain ML pipelines in production. Due to models' extensive reliance on fresh data, the operationalization of machine learning, or MLOps, requires MLEs to have…

Human-Computer Interaction · Computer Science 2024-03-26 Shreya Shankar , Rolando Garcia , Joseph M Hellerstein , Aditya G Parameswaran

Building effective machine learning (ML) workflows to address complex tasks is a primary focus of the Automatic ML (AutoML) community and a critical step toward achieving artificial general intelligence (AGI). Recently, the integration of…

Machine Learning · Computer Science 2024-12-30 Yang Gu , Hengyu You , Jian Cao , Muran Yu , Haoran Fan , Shiyou Qian

The Mining Software Repositories (MSR) field focuses on analysing the rich data contained in software repositories to derive actionable insights into software processes and products. Mining repositories at scale requires techniques capable…

Software Engineering · Computer Science 2026-04-02 Miguel Romero-Arjona , Saman Barakat , Ana B. Sánchez , Sergio Segura

Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields. This essay offers a succinct summary of various LLM subcategories. The survey emphasizes recent developments…

Computation and Language · Computer Science 2023-07-21 Saurabh Pahune , Manoj Chandrasekharan

Software systems generate massive, evolving, semi-structured logs that are central to reliability engineering and AIOps, yet difficult to analyze at scale under drift and limited labels. Recent advances in pretrained Transformer models and…

Software Engineering · Computer Science 2026-05-21 Zeyang Ma , Jinqiu Yang , Tse-Hsun Chen

Medical systematic reviews play a vital role in healthcare decision making and policy. However, their production is time-consuming, limiting the availability of high-quality and up-to-date evidence summaries. Recent advancements in large…

Computation and Language · Computer Science 2023-10-19 Hye Sun Yun , Iain J. Marshall , Thomas A. Trikalinos , Byron C. Wallace

Context. Large Language Models (LLMs) are increasingly embedded in software engineering workflows for tasks including code generation, summarization, repair, and testing. Empirical studies report productivity gains, improved comprehension,…

Software Engineering · Computer Science 2026-01-30 Bruno Claudino Matias , Savio Freire , Juliana Freitas , Felipe Fronchetti , Kostadin Damevski , Rodrigo Spinola

With the advancements of Large Language Models (LLMs), an increasing number of open-source software projects are using LLMs as their core functional component. Although research and practice on LLMs are capturing considerable interest, no…

Software Engineering · Computer Science 2025-04-08 Yangxiao Cai , Peng Liang , Yifei Wang , Zengyang Li , Mojtaba Shahin
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