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arXiv 2610.07591 · cs.CL · 2026-10-06

Recurrent Looped Transformer

Yifan Zhang, Jichen Feng, Shihan Qin, Sun-Yuan Kung, Mengdi Wang

Princeton University

In latest · #118 Added on 2026-10-21

One-line takeaway

The Recurrent Looped Transformer lets compute depth grow with sequence length, generalising tasks like parity far beyond training length.

循环 Transformer 新结构 RLT 让计算深度随序列增长,奇偶校验等任务可泛化到远超训练长度。

32HF upvotes
945GitHub stars
0Citations (Semantic Scholar)
57.7Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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