# LG AI Research — [ICLR 2022] Part 1: Efficient Transformer

- Company: LG AI Research (lgresearch.ai)
- Announced: 2022-07-18
- Category: research-paper
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.lgresearch.ai/blog/view?seq=226
- Record: https://forck.live/items/4945-iclr-2022-part-1-efficient-transformer
- Subject: EXAONE

LG AI Research introduces three papers presented at ICLR 2022 on efficient Transformer implementation: Pyraformer, cosFormer, and PoNet, which aim to reduce the computational complexity of self-attention.

## Evidence

Verbatim from https://www.lgresearch.ai/blog/view?seq=226:

> We introduce some of the papers presented by LG AI Research at the online ICLR 2022 conference held in April.

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Record: https://forck.live/items/4945-iclr-2022-part-1-efficient-transformer
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