Aug 25, 2023 · Our method divides each long-sequence input into a batch of chunks, then aligns the interchunk information during the encoding steps, and finally selects the ...

More specifically, we first divide each long-sequence input into a batch of chunks, then align the inter-chunk information during the encoding steps, and ...

The proposed method first chunks a sequence into blocks, then aligns the bos and eos of each block by using the average of them in every block of the next layer ...

More specifically, we first divide each long-sequence input into a batch of chunks, then align the inter-chunk information during the encoding steps, and ...

Figure 1: The learning framework of SimCAS: The long inputs are first divided into a batch of chunks, each of which is filled with start token [S], ...

This work proposes a simple framework to enable the offthe-shelf pre-trained transformers to process much longer sequences, while the computation and memory ...

Jul 7, 2024 · A simple framework that enables off-the-shelf pre-trained transformers to effectively process much longer input sequences.

Aug 25, 2023 · More specifically, our method divides each long-sequence input into a batch of chunks, then aligns the interchunk information during the ...

The repository contains the source code, data, and models for the paper Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers, ACL ...

Aug 25, 2023 · More specifically, our method divides each long-sequence input into a batch of chunks, then aligns the interchunk information during the ...