2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 2 cited
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
Yexiang Liu, Zekun Li, Zhi Fang +3
Recently, scaling test-time compute on Large Language Models (LLM) has garnered wide attention. However, there has been limited investigation of how various reasoning prompting str…
cs.CV2025
Marmot: Object-Level Self-Correction via Multi-Agent Reasoning
Jiayang Sun, Hongbo Wang, Jie Cao +2
While diffusion models excel at generating high-quality images, they often struggle with accurate counting, attributes, and spatial relationships in complex multi-object scenes. On…