---
id: wiki-2026-0508-sequence-modeling
title: Sequence Modeling
category: 10_Wiki/Topics
status: duplicate
canonical_id: sequence-to-sequence-models
duplicate_of: "[[Sequence-to-Sequence-Models]]"
aliases: []
source_trust_level: A
confidence_score: 0.9
verification_status: redirected
tags: [duplicate, sequence, architecture]
last_reinforced: 2026-05-10
github_commit: pending
---

# Sequence Modeling

> **이 문서는 [[Sequence-to-Sequence-Models]] 의 중복본입니다.** Canonical 문서로 redirect.

## 핵심 요약 (broader scope notes)
- Sequence modeling 은 매 seq2seq 의 superset — language model (autoregressive density), classification (encoder + head), tagging 도 포함.
- Architecture family: RNN, LSTM, GRU, Transformer, SSM (Mamba), Hyena, RWKV.
- 매 2026 default: Transformer for general, Mamba/Hybrid for ultra-long context.

## 🔗 Graph
- 부모: [[Sequence-to-Sequence-Models]] (canonical)
- 인접: [[Selective State Space Models (Mamba)]] · [[Transformer]] · [[RNN]]

## 🕓 변경 이력
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | 중복 처리 — canonical 문서로 redirect |
