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Papers Explained 330: Gemini EmbeddingGemini Embedding leverages the power of Gemini to produce highly generalizable embeddings for text spanning numerous languages and textual…2d ago2d ago
Papers Explained 329: Gemma 3Gemma 3 is a multimodal addition to the Gemma family, ranging in scale from 1 to 27 billion parameters. This version introduces vision…3d ago3d ago
Papers Explained 328: LIMOLIMO demonstrates unprecedented performance and efficiency in mathematical reasoning. With merely 817 curated training samples, LIMO…4d ago4d ago
Papers Explained 327: NeoBERTNeoBERT is a next-generation encoder that redefines the capabilities of bidirectional models by integrating state-of-the-art advancements…5d ago5d ago
Papers Explained 326: olmOCRolmOCR is an open-source Python toolkit for processing PDFs into clean, linearized plain text in natural reading order while preserving…6d ago6d ago
Papers Explained 325: Selective Self-to-Supervised Fine-Tuning (S3FT)Selective Self-to-Supervised Fine-Tuning (S3FT) is a fine- tuning approach that first identifies the correct model responses from the…Mar 7Mar 7
Papers Explained 324: Thinking Preference OptimizationThinking Preference Optimization (ThinkPO) utilizes readily available or easily obtainable short CoT reasoning responses as rejected…Mar 6Mar 6
Papers Explained 323: SysGenSysGen is a pipeline for generating system messages with better aligned assistant responses. This is achieved from the supervised…Mar 5Mar 5
