2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CL2026
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
A. Jian Yang, An Huang, Bo Dan +173
We present IQuest-Q1, a sparse Mixture-of-Experts (MoE) agentic foundation model with 320B total parameters (15B activated). IQuest-Q1 is developed through a three-stage process: (…
cs.SE2024★ 2 cited
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
Haiyang Liu, Yang Zhang, Vidya Saikrishna +2
Code smells indicate the potential problems of software quality so that developers can identify refactoring opportunities by detecting code smells. State-of-the-art approaches leve…