Papers

• Efficient Model Selection for Time Series Forecasting via LLMs (2025)
  Wang Wei et al.
  1.28
• Understanding Gen Alpha Digital Language: Evaluation of LLM Safety Systems for Content Moderation (2025)
  Manisha Mehta et al.
  1.28
• LLM Context Conditioning and PWP Prompting for Multimodal Validation of Chemical Formulas (2025)
  Evgeny Markhasin
  1.28
• MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models (2025)
  Hang Hua et al.
  1.28
• Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models (2025)
  Tiezheng Zhang et al.
  1.28
• Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability (2025)
  Haiqi Yang et al.
  1.28
• AHELM: A Holistic Evaluation of Audio-Language Models (2025)
  Tony Lee et al.
  1.28
• See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models (2025)
  Le Thien Phuc Nguyen et al.
  1.28
• Gemini vs GPT-4V: A Preliminary Comparison and Combination of Vision-Language Models Through Qualitative Cases (2023)
  Zhangyang Qi et al.
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• InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD (2024)
  Xiaoyi Dong et al.
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• Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models (2024)
  Aitor Ormazabal 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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• LearnLM: Improving Gemini for Learning (2024)
  LearnLM Team et al.
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