Papers

• Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3 (2026)
  Natapong Nitarach
  1.94
• Image Generators are Generalist Vision Learners (2026)
  Valentin Gabeur et al.
  1.94
• Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation (2026)
  Atin Pothiraj et al.
  1.94
• IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models (2025)
  Jiayi Lei et al.
  1.28
• Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step (2025)
  Ziyu Guo et al.
  1.28
• Region-Adaptive Sampling for Diffusion Transformers (2025)
  Ziming Liu et al.
  1.28
• Dedicated Feedback and Edit Models Empower Inference-Time Scaling for Open-Ended General-Domain Tasks (2025)
  Zhilin Wang et al.
  1.28
• Beyond Words: Advancing Long-Text Image Generation via Multimodal Autoregressive Models (2025)
  Alex Jinpeng Wang et al.
  1.28
• Understanding Gen Alpha Digital Language: Evaluation of LLM Safety Systems for Content Moderation (2025)
  Manisha Mehta et al.
  1.28
• HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing (2024)
  Mude Hui et al.
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• Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense? (2024)
  Xingyu Fu et al.
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• Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems (2024)
  Philippe Laban et al.
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• Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risk of Language Models (2024)
  Andy K. Zhang et al.
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• IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation (2024)
  Xinchen Zhang et al.
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