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.SE2023
Self-Supervised Query Reformulation for Code Search
Yuetian Mao, Chengcheng Wan, Yuze Jiang +1
Automatic query reformulation is a widely utilized technology for enriching user requirements and enhancing the outcomes of code search. It can be conceptualized as a machine trans…