# Context-aware Instruction Following on Avocado Emails (test)

Source: [Context-aware Instruction Following on Avocado Emails (test)](<https://www.sota2.com/research/sota/context-aware-instruction-following-on-avocado-emails-test>)

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

Data updated: 2026-02-26T05:54:39.245Z

Evaluation of model performance on context-aware instruction following using the test split of the Avocado Emails dataset, measured by Overlap (with/without context) and Precision 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 | Context-aware Instruction Following |
| Dataset (including any stated split) | Avocado Emails (test) |
| Metric | Overlap (with context) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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

- [Overlap (with context)](<https://www.sota2.com/research/sota/context-aware-instruction-following-on-avocado-emails-test.md?metric=Overlap%20(with%20context)>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/context-aware-instruction-following-on-avocado-emails-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Overlap (without context)](<https://www.sota2.com/research/sota/context-aware-instruction-following-on-avocado-emails-test.md?metric=Overlap%20(without%20context)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Overlap (with context) | Result date | Report paper |
| --- | --- | --- | --- |
| GPT-4-turbo | 8.31 | Not recorded | 68fa738b1e209131cea5d1d0 |
| Qwen-Chat(v1.5) + Qwen-Chat(v1.5) (Logit-based CoGenesis) | 6.66 | Not recorded | 68fa738b1e209131cea5d1d0 |

### GPT-4-turbo

Overlap (with context): 8.31. Result ID: 6992ef833a6c31484912782b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738b1e209131cea5d1d0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa727a1e209131cea56a1e.md>)

[Implementation](<https://github.com/openai/evals>)

Recorded evaluation configuration: {"Mode":"zero-shot LLM with context (upper bound)"}. This record does not assert independent reproduction.

### Qwen-Chat(v1.5) + Qwen-Chat(v1.5) (Logit-based CoGenesis)

Overlap (with context): 6.66. Result ID: 6992ef833a6c31484912782c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa738b1e209131cea5d1d0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa738b1e209131cea5d1d0.md>)

Recorded evaluation configuration: {"Mode":"mixed-scale collaboration","Params":"mixed"}. This record does not assert independent reproduction.

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