2 citations · 2 across the 5 of their papers we have counts for
5 papers
GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?
Kun Chen, Haorong Hong, Peizhong Gao +7
Recent large language models (LLMs) can operate as coding agents that build complete games from natural language requests. Game development is especially demanding because program…
Structural Dilemmas and Developmental Pathways of Legal Argument Mining in the Era of Artificial Intelligence
Xianglei Liao, Chuanyi Li, Kun Chen
Against the backdrop of rapid advances in artificial intelligence, legal argument mining has emerged as an important research area linking legal texts with intelligent analysis, ca…
Human-In-The-Loop Software Development Agents: Challenges and Future Directions
Jirat Pasuksmit, Wannita Takerngsaksiri, Patanamon Thongtanunam +8
Multi-agent LLM-driven systems for software development are rapidly gaining traction, offering new opportunities to enhance productivity. At Atlassian, we deployed Human-in-the-Loo…
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian
Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Micheal Fu +3
Software engineers spend a significant amount of time reading code during the software development process, especially in the age of large language models (LLMs) that can automatic…
Human-In-the-Loop Software Development Agents
Wannita Takerngsaksiri, Jirat Pasuksmit, Patanamon Thongtanunam +7
Recently, Large Language Models (LLMs)-based multi-agent paradigms for software engineering are introduced to automatically resolve software development tasks (e.g., from a given i…