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Chat LLMs such as GPT-3.5-turbo and GPT-4 have shown promise in assisting humans in coding, particularly by enabling them to conversationally provide feedback. However, current approaches assume users have expert debugging skills, limiting…

Human-Computer Interaction · Computer Science 2024-10-10 Hao Yan , Thomas D. Latoza , Ziyu Yao

In recent years, the integration of large language models (LLMs) has revolutionized the field of robotics, enabling robots to communicate, understand, and reason with human-like proficiency. This paper explores the multifaceted impact of…

Robotics · Computer Science 2024-08-16 Yeseung Kim , Dohyun Kim , Jieun Choi , Jisang Park , Nayoung Oh , Daehyung Park

This survey investigates how classical software design patterns can enhance the reliability and scalability of communication in Large Language Model (LLM)-driven agentic AI systems, focusing particularly on the Model Context Protocol (MCP).…

Software Engineering · Computer Science 2026-05-25 Anjana Sarkar , Soumyendu Sarkar

AI-assisted decision making becomes increasingly prevalent, yet individuals often fail to utilize AI-based decision aids appropriately especially when the AI explanations are absent, potentially as they do not %understand reflect on AI's…

Human-Computer Interaction · Computer Science 2025-02-18 Zhuoyan Li , Hangxiao Zhu , Zhuoran Lu , Ziang Xiao , Ming Yin

Job interviews play a critical role in shaping one's career, yet practicing interview skills can be challenging, especially without access to human coaches or peers for feedback. Recent advancements in large language models (LLMs) present…

Human-Computer Interaction · Computer Science 2024-11-05 Taufiq Daryanto , Xiaohan Ding , Lance T. Wilhelm , Sophia Stil , Kirk McInnis Knutsen , Eugenia H. Rho

Employing Large Language Models (LLMs) to address mathematical problems is an intriguing research endeavor, considering the abundance of math problems expressed in natural language across numerous science and engineering fields. LLMs, with…

Computation and Language · Computer Science 2024-07-01 Yiran Wu , Feiran Jia , Shaokun Zhang , Hangyu Li , Erkang Zhu , Yue Wang , Yin Tat Lee , Richard Peng , Qingyun Wu , Chi Wang

Newcomers onboarding to Open Source Software (OSS) projects face many challenges. Large Language Models (LLMs), like ChatGPT, have emerged as potential resources for answering questions and providing guidance, with many developers now…

Software Engineering · Computer Science 2025-02-12 Italo Santos , Katia Romero Felizardo , Igor Steinmacher , Marco A. Gerosa

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

The landscape of education is changing rapidly, shaped by emerging pedagogical approaches, technological innovations such as artificial intelligence (AI), and evolving societal expectations, all of which demand thorough evaluation of new…

Computers and Society · Computer Science 2026-03-19 Fiammetta Caccavale , Carina L. Gargalo , Julian Kager , Magdalena Skowyra , Steen Larsen , Krist V. Gernaey , Ulrich Krühne

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

Software Engineering · Computer Science 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current research suggests that LLM-based agents become increasingly…

Computation and Language · Computer Science 2024-12-18 Amir Taubenfeld , Yaniv Dover , Roi Reichart , Ariel Goldstein

Large Language Models (LLMs) have upended decades of pedagogy in computing education. Students previously learned to code through \textit{writing} many small problems with less emphasis on code reading and comprehension. Recent research has…

Large Language Models (LLMs) have played a pivotal role in advancing Artificial Intelligence (AI). However, despite their achievements, LLMs often struggle to explain their decision-making processes, making them a 'black box' and presenting…

Computation and Language · Computer Science 2025-06-30 Avash Palikhe , Zhenyu Yu , Zichong Wang , Wenbin Zhang

With the rise of large language models (LLMs), researchers are increasingly exploring their applications in var ious vertical domains, such as software engineering. LLMs have achieved remarkable success in areas including code generation…

Software Engineering · Computer Science 2025-04-15 Haolin Jin , Linghan Huang , Haipeng Cai , Jun Yan , Bo Li , Huaming Chen

Applications of Large Language Models~(LLMs) have evolved from simple text generators into complex software systems that integrate retrieval augmentation, tool invocation, and multi-turn interactions. Their inherent non-determinism,…

Software Engineering · Computer Science 2025-08-29 Wei Ma , Yixiao Yang , Qiang Hu , Shi Ying , Zhi Jin , Bo Du , Zhenchang Xing , Tianlin Li , Junjie Shi , Yang Liu , Linxiao Jiang

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are artificial entities that sense their environment,…

Prompting-based user interfaces (UIs) shift the task of defining and accessing relevant functions from developers to users. However, how UIs shape this flexibility has not yet been investigated explicitly. We explored interaction with Large…

Human-Computer Interaction · Computer Science 2024-10-15 Florian Lehmann , Daniel Buschek

Large Language Models(LLMs) have dramatically revolutionized the field of Natural Language Processing(NLP), offering remarkable capabilities that have garnered widespread usage. However, existing interaction paradigms between LLMs and users…

Computation and Language · Computer Science 2024-03-11 Juhao Liang , Ziwei Wang , Zhuoheng Ma , Jianquan Li , Zhiyi Zhang , Xiangbo Wu , Benyou Wang

Programming is a fundamentally interactive process, yet coding assistants are often evaluated using static benchmarks that fail to measure how well models collaborate with users. We introduce an interactive evaluation pipeline to examine…

Human-Computer Interaction · Computer Science 2025-02-26 Jane Pan , Ryan Shar , Jacob Pfau , Ameet Talwalkar , He He , Valerie Chen
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