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• ↓ GLOBAL CENTER (CANADA)
• ↓ Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models
• ↓ DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design
• ↓ DeepSeek Unveils DeepSeek-Prover-V2: Advancing Neural Theorem Proving with Recursive Proof Search and a New Benchmark
• ↓ Can GRPO be 10x Efficient? Kwai AI’s SRPO Suggests Yes with SRPO
• ↓ DeepSeek Signals Next-Gen R2 Model, Unveils Novel Approach to Scaling Inference with SPCT
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"By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training strategies like diffusion forcing and frame local attention, researchers from Adobe Research successfully overcome the long-standing challenge of long-term memory in video generation."

"In recent years, LLM Multi-Agent systems have garnered widespread attention for their collaborative approach to solving complex problems. However, it’s a common scenario for these systems to fail at a task despite a flurry of activity."

"ByteDance introduces Astra, an innovative dual-model architecture revolutionizing robot navigation in complex indoor environments."

"MIT introduces SEAL, a framework enabling large language models to self-edit and update their weights via reinforcement learning."

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GLOBAL CENTER (CANADA)

Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models

DeepSeek-V3 New Paper is coming! Unveiling the Secrets of Low-Cost Large Model Training through Hardware-Aware Co-design

DeepSeek Unveils DeepSeek-Prover-V2: Advancing Neural Theorem Proving with Recursive Proof Search and a New Benchmark

Can GRPO be 10x Efficient? Kwai AI’s SRPO Suggests Yes with SRPO

DeepSeek Signals Next-Gen R2 Model, Unveils Novel Approach to Scaling Inference with SPCT