# Lifelong Knowledge Editing on GPT-2 XL (1024 Edits, test)

Source: [Lifelong Knowledge Editing on GPT-2 XL (1024 Edits, test)](<https://www.sota2.com/research/sota/lifelong-knowledge-editing-on-gpt-2-xl-1024-edits-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:04:06.186Z

Evaluation of Lifelong Knowledge Editing performance on the GPT-2 XL model, specifically testing 1024 edits on the test split, measured by Score, Effectiveness, Generality, Locality, and Retention metrics.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Lifelong Knowledge Editing |
| Dataset (including any stated split) | Lifelong Editing on GPT-2 XL 1024 edits (test) |
| Metric | Score (S) |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Score (S)](<https://www.sota2.com/research/sota/lifelong-knowledge-editing-on-gpt-2-xl-1024-edits-test.md?metric=Score%20(S)>): Higher is better; unit: SCALAR.

- [Effectiveness (ES)](<https://www.sota2.com/research/sota/lifelong-knowledge-editing-on-gpt-2-xl-1024-edits-test.md?metric=Effectiveness%20(ES)>): Higher is better; unit: PERCENT.

- [Generality (PS)](<https://www.sota2.com/research/sota/lifelong-knowledge-editing-on-gpt-2-xl-1024-edits-test.md?metric=Generality%20(PS)>): Higher is better; unit: PERCENT.

- [Locality (NS)](<https://www.sota2.com/research/sota/lifelong-knowledge-editing-on-gpt-2-xl-1024-edits-test.md?metric=Locality%20(NS)>): Higher is better; unit: PERCENT.

- [Retention (ERS)](<https://www.sota2.com/research/sota/lifelong-knowledge-editing-on-gpt-2-xl-1024-edits-test.md?metric=Retention%20(ERS)>): Higher is better; unit: PERCENT.

- [Retention (ORS)](<https://www.sota2.com/research/sota/lifelong-knowledge-editing-on-gpt-2-xl-1024-edits-test.md?metric=Retention%20(ORS)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Score (S) | Result date | Report paper |
| --- | --- | --- | --- |
| WilKE | 19.3 | Not recorded | 68fa73701e209131cea5c802 |
| MEMIT | 13.2 | Not recorded | 68fa73701e209131cea5c802 |
| ROME | 9.3 | Not recorded | 68fa73701e209131cea5c802 |
| KE | 0 | Not recorded | 68fa73701e209131cea5c802 |
| KN | 0 | Not recorded | 68fa73701e209131cea5c802 |
| MEND | 0 | Not recorded | 68fa73701e209131cea5c802 |

### WilKE

Score (S): 19.3. Result ID: 6992eb3b3a6c314849125b7d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c802.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c802.md>)

[Implementation](<https://github.com/ChenhuiHu/WilKE>)

Recorded evaluation configuration: {"Backbone":"GPT-2 XL (1.5B)"}. This record does not assert independent reproduction.

### MEMIT

Score (S): 13.2. Result ID: 6992eb3b3a6c314849125b7c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c802.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49dc7.md>)

Recorded evaluation configuration: {"Backbone":"GPT-2 XL (1.5B)"}. This record does not assert independent reproduction.

### ROME

Score (S): 9.3. Result ID: 6992eb3b3a6c314849125b7b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c802.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e591e209131cea3f3c9.md>)

[Implementation](<https://rome.baulab.info/>)

Recorded evaluation configuration: {"Backbone":"GPT-2 XL (1.5B)"}. This record does not assert independent reproduction.

### KE

Score (S): 0. Result ID: 6992eb3b3a6c314849125b78.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c802.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ab81e209131cea2a08a.md>)

Recorded evaluation configuration: {"Backbone":"GPT-2 XL (1.5B)"}. This record does not assert independent reproduction.

### KN

Score (S): 0. Result ID: 6992eb3b3a6c314849125b79.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c802.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bf31e209131cea3124c.md>)

[Implementation](<https://github.com/Hunter-DDM/knowledge-neurons>)

Recorded evaluation configuration: {"Backbone":"GPT-2 XL (1.5B)"}. This record does not assert independent reproduction.

### MEND

Score (S): 0. Result ID: 6992eb3b3a6c314849125b7a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa73701e209131cea5c802.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cc61e209131cea35ea9.md>)

Recorded evaluation configuration: {"Backbone":"GPT-2 XL (1.5B)"}. This record does not assert independent reproduction.

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