Each day, I'll share my insights on an interesting paper in Computer Vision, NLP or Multimodal AI
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Today's paper explores the internal representations of large language models (LLMs) to better understand and detect their errors, often called "hallucinations". It reveals that LLMs encode more information about the truthfulness of their ou...
Today's paper addresses a critical issue in Large Vision-Language Models (LVLMs): cross-modality parametric knowledge conflicts. These conflicts arise from inconsistencies between the knowledge represented in the vision and language compone...
Today's paper introduces LLaVA-Critic, an open-source large multimodal model (LMM) designed as a generalist evaluator for assessing performance across various multimodal tasks. The model is trained on a high-quality critic instruction-follo...
Today's paper introduces Loong, an autoregressive language model-based approach for generating minute-long videos from text descriptions. The method can produce coherent long videos with consistent appearance, large motion dynamics, and nat...
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The writers behind this newsletter.
AI engineer and researcher. I explore practical applications of large language models in real-world scenarios. Sharing insights on the evolving AI landscape and its potential impact.
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