1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2026
IFHierBench: Hierarchical Instruction Following for Large Language Models
Yuetian Mao, Chunyang Chen
Instruction-following ability is critical for deploying large language models in real-world applications, where downstream components depend on the output satisfying specific const…
cs.SE2025★ 1 cited
From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
Yuetian Mao, Junjie He, Chunyang Chen
Large Language Models (LLMs) have revolutionized human-AI interaction by enabling intuitive task execution through natural language prompts. Despite their potential, designing effe…
cs.SE2024
An Empirical Study on Challenges for LLM Application Developers
Xiang Chen, Chaoyang Gao, Chunyang Chen +2
In recent years, large language models (LLMs) have seen rapid advancements, significantly impacting various fields such as computer vision, natural language processing, and softwar…