ModernBERT: A Leap Forward in Encoder-Only Models
ModernBERT emerges as a groundbreaking successor to the iconic BERT model, marking a significant leap forward in the domain of […]
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Research Papers
Qwen2.5-1M: Million-Token Context Language Model
The Qwen2.5-1M series are the first open-source Qwen models capable of processing up to 1 million tokens. This leap in
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DeepSeek-R1: How Reinforcement Learning is Driving LLM Innovation
DeepSeek-R1 represents a significant advancement in the field of LLMs, particularly in enhancing reasoning capabilities through reinforcement learning (RL). This
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TabPFN: A Foundation Model for Tabular Data
Tabular data, the backbone of countless scientific fields and industries, has long been dominated by gradient-boosted decision trees. However, TabPFN
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T5: Exploring Google’s Text-to-Text Transformer
Developed by researchers at Google Research, T5 (Text-to-Text Transfer Transformer) [paper] employs a unified text-to-text framework to facilitate various NLP
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PromptWizard: LLM Prompts Made Easy
Prompt engineering plays a crucial role in LLM performance. However, manual prompt engineering is a laborious and domain-specific process, demanding
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Large Concept Models (LCM): A Paradigm Shift in AI
Large Concept Models (LCMs) [paper] represent a significant evolution in NLP. Instead of focusing on individual words or subword tokens,
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Pushing the Boundaries of LLM Efficiency: Algorithmic Advancements
This article summarizes the content of the source, “The Efficiency Spectrum of Large Language Models: An Algorithmic Survey,” focusing on
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