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Large Language Models (LLMs) deliver powerful AI capabilities but face deployment challenges due to high resource costs and latency, whereas Small Language Models (SLMs) offer efficiency and deployability at the cost of reduced performance.…

Artificial Intelligence · Computer Science 2025-05-13 Yi Chen , JiaHao Zhao , HaoHao Han

Recent research has explored using Large Language Models for recommendation tasks by transforming user interaction histories and item metadata into text prompts, then having the LLM produce rankings or recommendations. A promising approach…

Information Retrieval · Computer Science 2025-10-03 Bo Ma , LuYao Liu , Simon Lau , Chandler Yuan , and XueY Cui , Rosie Zhang

Large Language Models (LLMs) have spurred progress in text-to-SQL, the task of generating SQL queries from natural language questions based on a given database schema. Despite the declarative nature of SQL, it continues to be a complex…

Computation and Language · Computer Science 2023-12-25 Ben Eyal , Amir Bachar , Ophir Haroche , Michael Elhadad

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

Large Language Models (LLMs) are increasingly used to generate textual explanations of process models discovered from event logs. Producing explanations from large behavioral abstractions (e.g., directly-follows graphs or Petri nets) can be…

Machine Learning · Computer Science 2025-10-14 P. van Oerle , R. H. Bemthuis , F. A. Bukhsh

Large Language Models (LLMs) are increasingly being used to automate programming tasks. Yet, LLMs' capabilities in reasoning about program semantics are still inadequately studied, leaving significant potential for further exploration. This…

Programming Languages · Computer Science 2025-05-30 Thanh Le-Cong , Bach Le , Toby Murray

Contemporary database systems, while effective, suffer severe issues related to complexity and usability, especially among individuals who lack technical expertise but are unfamiliar with query languages like Structured Query Language…

Databases · Computer Science 2025-07-25 M. Tedeschi , S. Rizwan , C. Shringi , V. Devram Chandgir , S. Belich

Batch data analytics is a growing application for Large Language Models (LLMs). LLMs enable users to perform a wide range of natural language tasks, such as classification, entity extraction, and translation, over large datasets. However,…

The advent of Large Language Models (LLMs) provides an opportunity to change the way queries are processed, moving beyond the constraints of conventional SQL-based database systems. However, using an LLM to answer a prediction query is…

Information Retrieval · Computer Science 2024-09-04 Ziyu Li , Wenjie Zhao , Asterios Katsifodimos , Rihan Hai

We transform join ordering into a mixed integer linear program (MILP). This allows to address query optimization by mature MILP solver implementations that have evolved over decades and steadily improved their performance. They offer…

Databases · Computer Science 2015-11-09 Immanuel Trummer , Christoph Koch

The use of Large Language Models (LLMs) has drawn growing interest within the scientific community. LLMs can handle large volumes of textual data and support methods for evidence synthesis. Although recent studies highlight the potential of…

Software Engineering · Computer Science 2026-02-12 Cauã Ferreira Barros , Marcos Kalinowski , Mohamad Kassab , Valdemar Vicente Graciano Neto

The growing need to integrate information from a large number of diverse sources poses significant scalability challenges for data integration systems. These systems often rely on manually written schema mappings, which are complex,…

Databases · Computer Science 2025-06-02 Christopher Buss , Mahdis Safari , Arash Termehchy , Stefan Lee , David Maier

Semantic Embedding Models (SEMs) have become a core component in information retrieval and natural language processing due to their ability to model semantic relevance. However, despite its growing applications in search engines, few…

Information Retrieval · Computer Science 2026-01-06 Mengze Hong , Di Jiang , Zichang Guo , Chen Jason Zhang

Training large language models (LLMs) with synthetic reasoning data has become a popular approach to enhancing their reasoning capabilities, while a key factor influencing the effectiveness of this paradigm is the quality of the generated…

Artificial Intelligence · Computer Science 2026-03-24 Zhuojie Yang , Wentao Wan , Keze Wang

Large language models (LLMs) have become an important semantic infrastructure for modern recommender systems. A prevailing paradigm integrates LLM-derived semantic embeddings with collaborative representations via representation alignment,…

Information Retrieval · Computer Science 2026-04-27 Maolin Wang , Dongze Wu , Jianing Zhou , Hongyu Chen , Beining Bao , Yu Jiang , Chenbin Zhang , Chang Wang , Jian Liu , Lei Sha

Large language models (LLMs) have been a disruptive innovation in recent years, and they play a crucial role in our daily lives due to their ability to understand and generate human-like text. Their capabilities include natural language…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-17 Akrit Mudvari , Yuang Jiang , Leandros Tassiulas

Large language models (LLMs) are increasingly used to automate feature engineering in tabular learning. Given task-specific information, LLMs can propose diverse feature transformation operations to enhance downstream model performance.…

Machine Learning · Computer Science 2026-01-30 Zhuoyan Li , Aditya Bansal , Jinzhao Li , Shishuang He , Zhuoran Lu , Mutian Zhang , Qin Liu , Yiwei Yang , Swati Jain , Ming Yin , Yunyao Li

Large language models (LLMs) are increasingly used in situations where human values are at stake, such as decision-making tasks that involve reasoning when performed by humans. We investigate the so-called reasoning capabilities of LLMs…

Computation and Language · Computer Science 2025-12-25 Nathaniël de Leeuw , Marceau Nahon , Mathis Reymond , Raja Chatila , Mehdi Khamassi

Large Language Models (LLMs) can perform various natural language processing tasks with suitable instruction prompts. However, designing effective prompts manually is challenging and time-consuming. Existing methods for automatic prompt…

Computation and Language · Computer Science 2024-04-04 Viet-Tung Do , Van-Khanh Hoang , Duy-Hung Nguyen , Shahab Sabahi , Jeff Yang , Hajime Hotta , Minh-Tien Nguyen , Hung Le

Large language models (LLMs) have quickly emerged as practical and versatile tools that provide new solutions for a wide range of domains. In this paper, we consider the application of LLMs on symmetric tasks where a query is asked on an…

Machine Learning · Computer Science 2024-12-03 Mohsen Dehghankar , Abolfazl Asudeh