InfoAgent: Traceable Generation and Repair of Evidence-Grounded Infographics

arXiv:2609.39380 · cs.CV · Submitted 2026-09-30 · Read on arXiv

cs.CV

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/black-forest-labs/flux

Terminology

• Verification — 35× in this paper · explained in 2 episodes
• Trace — 31× in this paper · explained in 2 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Verifier — 12× in this paper · explained in 2 episodes
• Grounding — 11× in this paper · explained in 3 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Fidelity — 8× in this paper · explained in 2 episodes
• Provenance — 7× in this paper · explained in 4 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• RAG — 5× in this paper · explained in 3 episodes
• Training-Free Framework — 4× in this paper · explained in 2 episodes
• Agentic Framework — 3× in this paper · explained in 6 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Infographic Visual Description — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Visual Grounding — 3× in this paper · explained in 2 episodes
• Abstention — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Addressability — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agentic Search — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes

Sources

• RS-Gen: A Multi-Stage Agentic Framework for Reasoning and Search-Augmented Image Generation
• Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
• HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
• Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis
• GenEvolve: Self-Evolving Image Generation Agents via Tool-Orchestrated Visual Experience Distillation
• SenseNova-MARS: Empowering Multimodal Agentic Reasoning and Search via Reinforcement Learning
• Gen-Searcher: Reinforcing Agentic Search for Image Generation
• Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
• UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
• IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation
• LongCat-Image Technical Report
• FactFlow: Automatic Fact Sheet Generation and Customization from Tabular Dataset via AI Chain Design & Implementation
• Qwen-Image Technical Report
• Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
• PreGenie: An Agentic Framework for High-quality Visual Presentation Generation
• M3: High-fidelity Text-to-Image Generation via Multi-Modal, Multi-Agent and Multi-Round Visual Reasoning
• GenClaw: Code-Driven Agentic Image Generation
• Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation

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