# Grounded Multimodal Named Entity Recognition on Twitter-FMNERG

Source: [Grounded Multimodal Named Entity Recognition on Twitter-FMNERG](<https://www.sota2.com/research/sota/grounded-multimodal-named-entity-recognition-on-twitter-fmnerg>)

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

Data updated: 2026-04-23T10:18:03.594Z

Evaluation of Grounded Multimodal Named Entity Recognition performance on the Twitter-FMNERG dataset, reporting metrics including Avg. SR (%), GMNER, MNER, and EEG.

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 | Grounded Multimodal Named Entity Recognition |
| Dataset (including any stated split) | Twitter-FMNERG |
| Metric | Avg. SR (%) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 18 of 18 |
| 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

- [Avg. SR (%)](<https://www.sota2.com/research/sota/grounded-multimodal-named-entity-recognition-on-twitter-fmnerg.md?metric=Avg.%20SR%20(%25)>): Higher is better; unit: PERCENT.

- [GMNER](<https://www.sota2.com/research/sota/grounded-multimodal-named-entity-recognition-on-twitter-fmnerg.md?metric=GMNER>): Higher is better; unit: SCALAR.

- [MNER](<https://www.sota2.com/research/sota/grounded-multimodal-named-entity-recognition-on-twitter-fmnerg.md?metric=MNER>): Higher is better; unit: SCALAR.

- [EEG](<https://www.sota2.com/research/sota/grounded-multimodal-named-entity-recognition-on-twitter-fmnerg.md?metric=EEG>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Avg. SR (%) | Result date | Report paper |
| --- | --- | --- | --- |
| VKEL | 100 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| Qwen2.5-VL-7B (MoRE)\* | 100 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| MAKAR | 100 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| SAKE | 68.8 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| GPT4o | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| Gemini-2.5 Pro | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| Qwen3-VL-Plus | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| UMT-OD-EVG | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| UMGF-OD-EVG | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| ITA-OD-EVG | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| MMT5 / BART-OD-EVG | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| H-Index | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| TIGER | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| MQSPN | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| Qwen2.5-VL-7B (SFT)\* | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| GEM | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| UnCo | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |
| Qwen2.5-VL-7B (SFT+GRPO)\* | 0 | Not recorded | 69e9a7aa55a3c32af89f7147 |

### VKEL

Avg. SR (%): 100. Result ID: 69e9f1c047f34ce924d1bb2c.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"External Knowledge Exploration","E2E":false,"Using LLM":"LLaVA-1.5-7B"}. This record does not assert independent reproduction.

### Qwen2.5-VL-7B (MoRE)\*

Avg. SR (%): 100. Result ID: 69e9f1c047f34ce924d1bb2d.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e1c1e209131cea3dd92.md>)

[Implementation](<https://github.com/modelscope/AdaSeq/tree/master/examples/MoRe>)

Recorded evaluation configuration: {"Category":"External Knowledge Exploration","E2E":false,"Using LLM":"Qwen2.5-VL-7B"}. This record does not assert independent reproduction.

### MAKAR

Avg. SR (%): 100. Result ID: 69e9f1c047f34ce924d1bb31.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"LLM Agent","E2E":false,"Using LLM":"Qwen2.5-VL-7B"}. This record does not assert independent reproduction.

### SAKE

Avg. SR (%): 68.8. Result ID: 69e9f1c047f34ce924d1bb32.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"LLM Agent","E2E":true,"Using LLM":"Qwen2.5-VL-7B"}. This record does not assert independent reproduction.

### GPT4o

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb21.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75681e209131cea67a98.md>)

Recorded evaluation configuration: {"Category":"Few-shot MLLM","E2E":false,"Using LLM":"GPT4o"}. This record does not assert independent reproduction.

### Gemini-2.5 Pro

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb22.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c311e209131cea8cef5.md>)

Recorded evaluation configuration: {"Category":"Few-shot MLLM","E2E":false,"Using LLM":"Gemini-2.5 Pro"}. This record does not assert independent reproduction.

### Qwen3-VL-Plus

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb23.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Category":"Few-shot MLLM","E2E":false,"Using LLM":"Qwen3-VL-Plus"}. This record does not assert independent reproduction.

### UMT-OD-EVG

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb24.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":false}. This record does not assert independent reproduction.

### UMGF-OD-EVG

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb25.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":false}. This record does not assert independent reproduction.

### ITA-OD-EVG

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb26.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d741e209131cea3a0c4.md>)

[Implementation](<https://github.com/Alibaba-NLP/KB-NER/tree/main/ITA>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":false}. This record does not assert independent reproduction.

### MMT5 / BART-OD-EVG

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb27.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":false}. This record does not assert independent reproduction.

### H-Index

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb28.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":true}. This record does not assert independent reproduction.

### TIGER

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb29.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":true}. This record does not assert independent reproduction.

### MQSPN

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb2a.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76b91e209131cea6ebc5.md>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":true}. This record does not assert independent reproduction.

### Qwen2.5-VL-7B (SFT)\*

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb2b.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Category":"Supervised Fine-tuning","E2E":true,"Using LLM":"Qwen2.5-VL-7B"}. This record does not assert independent reproduction.

### GEM

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb2e.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"Internal Knowledge Exploitation","E2E":false,"Using LLM":"ChatGPT"}. This record does not assert independent reproduction.

### UnCo

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb2f.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

Recorded evaluation configuration: {"Category":"Internal Knowledge Exploitation","E2E":false,"Using LLM":"Gemini-2.5 Pro"}. This record does not assert independent reproduction.

### Qwen2.5-VL-7B (SFT+GRPO)\*

Avg. SR (%): 0. Result ID: 69e9f1c047f34ce924d1bb30.

[Reporting paper](<https://www.sota2.com/research/paper/69e9a7aa55a3c32af89f7147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Category":"Internal Knowledge Exploitation","E2E":true,"Using LLM":"Qwen2.5-VL-7B"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
