T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...
Abstract: Image segmentation is crucial in many fields, but existing image segmentation models based on encoder-decoder networks are constrained by manual parameter tuning and the limited ...
ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
September 25, 2025 update: Microsoft Threat Intelligence has identified yet another XCSSET variant in the wild that introduces further updates and new modules: XCSSET evolves again: Analyzing the ...
In a nutshell: A recent blog post by software engineer Paul Butler has shed light on a novel technique for concealing data within Unicode characters, specifically emojis. The post explains the concept ...
Now that gRPC no longer supports Java 7, is there a appetite to move from Guava's Base64 encoder/decoder to the one provided by the JDK? Later version of the JDK have improved Base64 encoding/decoding ...
Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...
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