Average decoding scores for modality-agnostic decoders (green), compared to modality-specific decoders trained on data from subjects viewing images (orange) or on ...

[Note this is an in-progress specification to be used in an upcoming format.] The decoder supports adaptive binary and multi-symbol models, as well as specialized encoding schemes like truncated ...

[Note this is an in-progress specification to be used in an upcoming format.] At a high level, the decoder works by maintaining a current range (defined by a base value and length) within a large ...

Panel A: Setup of the main fMRI experiment. Subjects were seeing images and captions in random alternation. Whenever the current stimulus matched the previous stimulus, the subjects were instructed to ...

A key question about LLMs is whether they solve reasoning tasks by learning transferable algorithms or simply memorizing training data. This distinction matters: while memorization might handle ...

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, ...

ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...

This paper explains the decoding of an MPEG 1 bitstream with a dual core architecture model. The bit processing unit (BPU) performs bitstream parsing and Huffman decoding, and acts as master for ...

Abstract: In this paper, based on the proposed parallelization scheme of binary arithmetic decoding, a parallel AVC/H.264 con text-based adaptive binary arithmetic coding (CABAC) de coder with high ...

Abstract: The JPEG2000 block decoder consists of the bit plane decoder (BPD) tightly coupled with the arithmetic decoder (AD). The BPD generates contexts which are used by the AD to decode sample bits ...