Abstract: In Transformer-based hyperspectral image classification (HSIC), predefined positional encodings (PEs) are crucial for capturing the order of each input token. However, their typical ...

Our project page is available at https://dqiaole.github.io/ZITS_inpainting/. 🔥🔥🔥 News: Our Extended version ZITS++ has been accepted by TPAMI, codes and ...

Abstract: Relative position encoding (RPE) is important for transformer to capture sequence ordering of input tokens. General efficacy has been proven in natural language processing. However, in ...

GRAPE is a unified group-theoretic framework for positional encoding that subsumes multiplicative mechanisms (like RoPE) and additive mechanisms (like ALiBi and FoX ...

This multi-faceted attention helps the model capture various relationships within the sentence. 𝗣𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴 Since the Transformer doesn't inherently understand word order, ...

Because Krea relinquishes centralized control over the downstream deployment of its open weights, the contract legally binds ...

Earlier this spring, AMD, Broadcom, Meta Platforms, Microsoft, Nvidia, and OpenAI formed the Optical Compute Interconnect ...

Google search market share has been eroding for two years, but this week brought a sharper signal: Gemini co-lead Noam ...

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...

As illustrated in Figure 1, DPCrossU-Net adopts a U-shaped architecture with a dual-branch parallel design in the encoding stage, where a convolutional neural network (CNN) branch and a Transformer ...

血泪经验，建议人手一份 ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...