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NOVA: A Novel Video Autoregressive Model Without Vector Quantization
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NOVA: A Novel Video Autoregressive Model Without Vector Quantization

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Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at […]

OpenAI Announces OpenAI o3: A Measured Advancement in AI Reasoning with 87.5% Score on Arc AGI Benchmarks
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OpenAI Announces OpenAI o3: A Measured Advancement in AI Reasoning with 87.5% Score on Arc AGI Benchmarks

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On December 20, OpenAI announced OpenAI o3, the latest model in its o-Model Reasoning Series. Building on its predecessors, o3 […]

Mix-LN: A Hybrid Normalization Technique that Combines the Strengths of both Pre-Layer Normalization and Post-Layer Normalization
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Mix-LN: A Hybrid Normalization Technique that Combines the Strengths of both Pre-Layer Normalization and Post-Layer Normalization

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The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languagesĀ  […]

Researchers from ETH Zurich and UC Berkeley Introduce MaxInfoRL: A New Reinforcement Learning Framework for Balancing Intrinsic and Extrinsic Exploration
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Researchers from ETH Zurich and UC Berkeley Introduce MaxInfoRL: A New Reinforcement Learning Framework for Balancing Intrinsic and Extrinsic Exploration

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Reinforcement Learning, despite its popularity in a variety of fields, faces some fundamental difficulties that refrain users from exploiting its […]

Viro3D: A Comprehensive Resource of Predicted Viral Protein Structures Unveils Evolutionary Insights and Functional Annotations
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Viro3D: A Comprehensive Resource of Predicted Viral Protein Structures Unveils Evolutionary Insights and Functional Annotations

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Viruses infect organisms across all domains of life, playing key roles in ecological processes such as ocean biogeochemical cycles and […]

Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators
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Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators

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Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools […]

OpenAI Researchers Propose Comprehensive Set of Practices for Enhancing Safety, Accountability, and Efficiency in Agentic AI Systems
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OpenAI Researchers Propose Comprehensive Set of Practices for Enhancing Safety, Accountability, and Efficiency in Agentic AI Systems

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Agentic AI systems are fundamentally reshaping how tasks are automated, and goals are achieved in various domains. These systems are […]

This AI Paper from Microsoft and Oxford Introduce Olympus: A Universal Task Router for Computer Vision Tasks
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This AI Paper from Microsoft and Oxford Introduce Olympus: A Universal Task Router for Computer Vision Tasks

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Computer vision models have made significant strides in solving individual tasks such as object detection, segmentation, and classification. Complex real-world […]

This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training
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This AI Paper from Anthropic and Redwood Research Reveals the First Empirical Evidence of Alignment Faking in LLMs Without Explicit Training

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AI alignment ensures that AI systems consistently act according to human values and intentions. This involves addressing the complex challenges […]

TOMG-Bench: Text-based Open Molecule Generation Benchmark
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TOMG-Bench: Text-based Open Molecule Generation Benchmark

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Molecule discovery is important in various scientific research fields, particularly pharmaceuticals and materials science. While the emergence of Graph Neural […]

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