# Document Reranking on BEIR (NDCG@10)

Source: [Document Reranking on BEIR (NDCG@10)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10>)

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

Data updated: 2026-03-05T08:16:38.899Z

Evaluation of Document Reranking performance across the BEIR benchmark suite components (including Covid, NFCorpus, Touche, DBPedia, SciFact, Signal, News, Robust), measured using NDCG@10 for each sub-dataset.

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 | Document Reranking |
| Dataset (including any stated split) | BEIR |
| Metric | Average NDCG@10 |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 17 of 17 |
| 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

- [Average NDCG@10](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=Average%20NDCG%4010>): Higher is better; unit: PERCENT.

- [NDCG@10 (Covid)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(Covid)>): Higher is better; unit: PERCENT.

- [NDCG@10 (NFCorpus)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(NFCorpus)>): Higher is better; unit: PERCENT.

- [NDCG@10 (Touche)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(Touche)>): Higher is better; unit: PERCENT.

- [NDCG@10 (DBPedia)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(DBPedia)>): Higher is better; unit: PERCENT.

- [NDCG@10 (SciFact)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(SciFact)>): Higher is better; unit: PERCENT.

- [NDCG@10 (Signal)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(Signal)>): Higher is better; unit: PERCENT.

- [NDCG@10 (News)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(News)>): Higher is better; unit: PERCENT.

- [NDCG@10 (Robust)](<https://www.sota2.com/research/sota/document-reranking-on-beir-ndcg-at-10.md?metric=NDCG%4010%20(Robust)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average NDCG@10 | Result date | Report paper |
| --- | --- | --- | --- |
| DeBERTa-v3 | 55.4 | Not recorded | 68fa77ee1e209131cea76195 |
| DiffuRank Perm-Assign | 55.21 | Not recorded | 6992a4b39ebc499c97406d75 |
| DiffuRank Perm-Samp | 55.1 | Not recorded | 6992a4b39ebc499c97406d75 |
| OSCAR-10-Layers | 54.3 | Not recorded | 68fa77ee1e209131cea76195 |
| Llama-3.1-8B Listwise | 54.28 | Not recorded | 6992a4b39ebc499c97406d75 |
| DiffuRank Logits-List | 54.09 | Not recorded | 6992a4b39ebc499c97406d75 |
| Qwen3-8B Pointwise | 53.92 | Not recorded | 6992a4b39ebc499c97406d75 |
| Qwen3-8B Listwise | 53.39 | Not recorded | 6992a4b39ebc499c97406d75 |
| OSCAR-llama | 52.8 | Not recorded | 68fa77ee1e209131cea76195 |
| DiffuRank Pointwise | 52.68 | Not recorded | 6992a4b39ebc499c97406d75 |
| OSCAR-8-Layers | 52.5 | Not recorded | 68fa77ee1e209131cea76195 |
| LLaDA-1.5-8B Listwise | 52.48 | Not recorded | 6992a4b39ebc499c97406d75 |
| Llama-3.1-8B Pointwise | 51.68 | Not recorded | 6992a4b39ebc499c97406d75 |
| RankZephyr-7B Listwise | 51.15 | Not recorded | 6992a4b39ebc499c97406d75 |
| monoT5 (220M) | 46.44 | Not recorded | 6992a4b39ebc499c97406d75 |
| monoBERT (340M) | 45.55 | Not recorded | 6992a4b39ebc499c97406d75 |
| BM25 | 43.43 | Not recorded | 6992a4b39ebc499c97406d75 |

### DeBERTa-v3

Average NDCG@10: 55.4. Result ID: 69a93bd46dbb7075b9528dea.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77ee1e209131cea76195.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ee11e209131cea4297b.md>)

[Implementation](<https://github.com/microsoft/DeBERTa>)

Recorded evaluation configuration: {"role":"teacher"}. This record does not assert independent reproduction.

### DiffuRank Perm-Assign

Average NDCG@10: 55.21. Result ID: 699a57de5698665ec4df899b.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

Recorded evaluation configuration: {"Backbone":"LLaDA-1.5-8B","Strategy":"Perm-Assign","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### DiffuRank Perm-Samp

Average NDCG@10: 55.1. Result ID: 699a57de5698665ec4df899a.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

Recorded evaluation configuration: {"Backbone":"LLaDA-1.5-8B","Strategy":"Perm-Samp","Sampling Steps (K)":2,"Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### OSCAR-10-Layers

Average NDCG@10: 54.3. Result ID: 69a93bd46dbb7075b9528de9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77ee1e209131cea76195.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77ee1e209131cea76195.md>)

Recorded evaluation configuration: {"Decoder":"Mistral-7B"}. This record does not assert independent reproduction.

### Llama-3.1-8B Listwise

Average NDCG@10: 54.28. Result ID: 699a57de5698665ec4df8994.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"Backbone":"Llama-3.1-8B","Strategy":"Listwise","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### DiffuRank Logits-List

Average NDCG@10: 54.09. Result ID: 699a57de5698665ec4df8999.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

Recorded evaluation configuration: {"Backbone":"LLaDA-1.5-8B","Strategy":"Logits-List","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### Qwen3-8B Pointwise

Average NDCG@10: 53.92. Result ID: 699a57de5698665ec4df8995.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa788e1e209131cea79116.md>)

Recorded evaluation configuration: {"Backbone":"Qwen3-8B","Strategy":"Pointwise","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### Qwen3-8B Listwise

Average NDCG@10: 53.39. Result ID: 699a57de5698665ec4df8996.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa788e1e209131cea79116.md>)

Recorded evaluation configuration: {"Backbone":"Qwen3-8B","Strategy":"Listwise","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### OSCAR-llama

Average NDCG@10: 52.8. Result ID: 69a93bd46dbb7075b9528de7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77ee1e209131cea76195.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77ee1e209131cea76195.md>)

Recorded evaluation configuration: {"Decoder":"Mistral-7B"}. This record does not assert independent reproduction.

### DiffuRank Pointwise

Average NDCG@10: 52.68. Result ID: 699a57de5698665ec4df8998.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

Recorded evaluation configuration: {"Backbone":"LLaDA-1.5-8B","Strategy":"Pointwise","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### OSCAR-8-Layers

Average NDCG@10: 52.5. Result ID: 69a93bd46dbb7075b9528de8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77ee1e209131cea76195.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77ee1e209131cea76195.md>)

Recorded evaluation configuration: {"Decoder":"Mistral-7B"}. This record does not assert independent reproduction.

### LLaDA-1.5-8B Listwise

Average NDCG@10: 52.48. Result ID: 699a57de5698665ec4df8997.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c0e1e209131cea8c28e.md>)

Recorded evaluation configuration: {"Backbone":"LLaDA-1.5-8B","Strategy":"Listwise","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### Llama-3.1-8B Pointwise

Average NDCG@10: 51.68. Result ID: 699a57de5698665ec4df8993.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d11e209131cea6a028.md>)

[Implementation](<https://github.com/meta-llama/llama-agentic-system>)

Recorded evaluation configuration: {"Backbone":"Llama-3.1-8B","Strategy":"Pointwise","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### RankZephyr-7B Listwise

Average NDCG@10: 51.15. Result ID: 699a57de5698665ec4df8992.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71591e209131cea50c0c.md>)

Recorded evaluation configuration: {"Backbone":"Zephyr-7B","Strategy":"Listwise","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### monoT5 (220M)

Average NDCG@10: 46.44. Result ID: 699a57de5698665ec4df8991.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67341e209131cea14b55.md>)

[Implementation](<http://anserini.io/>)

Recorded evaluation configuration: {"Backbone":"T5","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### monoBERT (340M)

Average NDCG@10: 45.55. Result ID: 699a57de5698665ec4df8990.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa669a1e209131cea114a6.md>)

Recorded evaluation configuration: {"Backbone":"BERT","Fine-tuning dataset":"MS MARCO"}. This record does not assert independent reproduction.

### BM25

Average NDCG@10: 43.43. Result ID: 699a57de5698665ec4df898f.

[Reporting paper](<https://www.sota2.com/research/paper/6992a4b39ebc499c97406d75.md>)

Recorded evaluation configuration: {"Type":"Initial Retrieval"}. This record does not assert independent reproduction.

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