2 papers
cs.AI2026
CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection
Linbo Liu, Guande Wu, Han Ding +7
Large language model agents rely on effective model context to obtain task-relevant information for decision-making. Many existing context engineering approaches primarily rely on…
cs.SE2025
QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks
Yaojie Hu, Qiang Zhou, Qihong Chen +6
We introduce QualityFlow, a dynamic agentic workflow for program synthesis. Given the English description of a programming problem and a set of unit tests, the model's goal is to s…