# Corpus-level evidence aggregation on CorpusQA 128K-token

Source: [Corpus-level evidence aggregation on CorpusQA 128K-token](<https://www.sota2.com/research/sota/corpus-level-evidence-aggregation-on-corpusqa-128k-token>)

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

Data updated: 2026-06-04T08:49:50.810Z

Evaluation of model performance on the CorpusQA 128K-token dataset, focusing on corpus-level evidence aggregation capabilities, typically measured using LLM-as-judge accuracy.

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 | Corpus-level evidence aggregation |
| Dataset (including any stated split) | CorpusQA 128K-token |
| Metric | LLM-as-Judge Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

- [LLM-as-Judge Accuracy](<https://www.sota2.com/research/sota/corpus-level-evidence-aggregation-on-corpusqa-128k-token.md?metric=LLM-as-Judge%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | LLM-as-Judge Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| InfoMem | 19.453 | Not recorded | 6a210666c10484bac23eff3b |
| Outcome-only GRPO | 16.413 | Not recorded | 6a210666c10484bac23eff3b |
| Qwen2.5-1.5B-Instruct | 14.59 | Not recorded | 6a210666c10484bac23eff3b |
| ReMemR1 | 1.52 | Not recorded | 6a210666c10484bac23eff3b |

### InfoMem

LLM-as-Judge Accuracy: 19.453. Result ID: 6a213c25fbc373592c1ce427.

[Reporting paper](<https://www.sota2.com/research/paper/6a210666c10484bac23eff3b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a210666c10484bac23eff3b.md>)

Recorded evaluation configuration: {"base\_model":"Qwen2.5-1.5B-Instruct","beta":"0.2"}. This record does not assert independent reproduction.

### Outcome-only GRPO

LLM-as-Judge Accuracy: 16.413. Result ID: 6a213c25fbc373592c1ce426.

[Reporting paper](<https://www.sota2.com/research/paper/6a210666c10484bac23eff3b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79c71e209131cea7f569.md>)

Recorded evaluation configuration: {"base\_model":"Qwen2.5-1.5B-Instruct"}. This record does not assert independent reproduction.

### Qwen2.5-1.5B-Instruct

LLM-as-Judge Accuracy: 14.59. Result ID: 6a213c25fbc373592c1ce425.

[Reporting paper](<https://www.sota2.com/research/paper/6a210666c10484bac23eff3b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa767e1e209131cea6d6a7.md>)

Recorded evaluation configuration: {"status":"Base Model"}. This record does not assert independent reproduction.

### ReMemR1

LLM-as-Judge Accuracy: 1.52. Result ID: 6a213c25fbc373592c1ce428.

[Reporting paper](<https://www.sota2.com/research/paper/6a210666c10484bac23eff3b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bb51e209131cea8a113.md>)

Recorded evaluation configuration: {"base\_model":"Qwen2.5-1.5B-Instruct","retrieval":"callback retrieval","framework":"chunk-wise memory-agent"}. This record does not assert independent reproduction.

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