C$^2$: Scalable Auto-Feedback for LLM-based Chart GenerationMay 1, 2024·[C2] Woosung Koh*,Jang Han Yoon*,MinHyung Lee,Youngjin Song,Jaegwan Cho,Jaehyun Kang,Taehyeon Kim,Se-Young Yun,Youngjae Yu,Bongshin Lee· 0 min read PDF Code Project VideoTypeConference paperPublicationNAACL 2025 Main Long (Oral)Last updated on Feb 7, 2026Chart Generation Code Generation VLM-as-a-Judge Inference-Time Scaling ← AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners Apr 19, 2025FlickerFusion: Intra-trajectory Domain Generalizing Multi-Agent RL Apr 1, 2024 →