Methods › General › Meta-Learning Algorithms › MEND

MODEL EDITOR NETWORKS WITH GRADIENT DECOMPOSITION

MEND

11 papers tagged archive 2025-07-28

Introduced by Eric Mitchell et al. in Fast Model Editing at Scale

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

11 shown of 11, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

18 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Language Modelling5
knowledge editing4
Language Modeling3
GPU2
In-Context Learning2
Knowledge Distillation2
Model Editing2
Arithmetic Reasoning1
Data Augmentation1
Decoder1
Graph Neural Network1
Multi-modal Knowledge Graph1
Position1
Question Answering1
Visual Question Answering1
Visual Question Answering (VQA)1
model1
parameter-efficient fine-tuning1

Usage over time archive 2025-07-28

Papers per year tagged with MEND: 2021 to 2025, peak 6 6 0 2021: 1 paper 2021 2022: 0 papers 2022 2023: 2 papers 2023 2024: 6 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (11 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Meta-Learning Algorithms

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections