# Cross-lingual Aspect-Based Sentiment Analysis on Multilingual ABSA (M-ABSA) (test)

Source: [Cross-lingual Aspect-Based Sentiment Analysis on Multilingual ABSA (M-ABSA) (test)](<https://www.sota2.com/research/sota/cross-lingual-aspect-based-sentiment-analysis-on-multilingual-absa-m-absa-test>)

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

Data updated: 2026-04-13T09:40:14.445Z

Evaluation of Cross-lingual Aspect-Based Sentiment Analysis performance on the M-ABSA test set, reporting metrics across French (FR), Spanish (ES), Dutch (NL), Russian (RU), and overall average (Avg).

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 | Cross-lingual Aspect-Based Sentiment Analysis |
| Dataset (including any stated split) | Multilingual ABSA (M-ABSA) (test) |
| Metric | FR Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| 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

- [FR Score](<https://www.sota2.com/research/sota/cross-lingual-aspect-based-sentiment-analysis-on-multilingual-absa-m-absa-test.md?metric=FR%20Score>): Higher is better; unit: PERCENT.

- [ES Score](<https://www.sota2.com/research/sota/cross-lingual-aspect-based-sentiment-analysis-on-multilingual-absa-m-absa-test.md?metric=ES%20Score>): Higher is better; unit: PERCENT.

- [NL Score](<https://www.sota2.com/research/sota/cross-lingual-aspect-based-sentiment-analysis-on-multilingual-absa-m-absa-test.md?metric=NL%20Score>): Higher is better; unit: PERCENT.

- [RU Score](<https://www.sota2.com/research/sota/cross-lingual-aspect-based-sentiment-analysis-on-multilingual-absa-m-absa-test.md?metric=RU%20Score>): Higher is better; unit: PERCENT.

- [Average Score](<https://www.sota2.com/research/sota/cross-lingual-aspect-based-sentiment-analysis-on-multilingual-absa-m-absa-test.md?metric=Average%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | FR Score | Result date | Report paper |
| --- | --- | --- | --- |
| MTL-MSMO-DISTLL | 63.23 | Not recorded | 68fa770f1e209131cea70d8f |
| Qwen2.5-7B | 63.01 | Not recorded | 68fa770f1e209131cea70d8f |
| Mistral-7B-v0.3 | 59.46 | Not recorded | 68fa770f1e209131cea70d8f |
| MTL-MSMO-DISTLL | 54.56 | Not recorded | 68fa770f1e209131cea70d8f |
| Llama-3.1-8B | 52.65 | Not recorded | 68fa770f1e209131cea70d8f |
| Gemma-2-9b-It | 50.94 | Not recorded | 68fa770f1e209131cea70d8f |
| Qwen2.5-7B-Instruct | 48.88 | Not recorded | 68fa770f1e209131cea70d8f |
| GPT-4o | 48.43 | Not recorded | 68fa770f1e209131cea70d8f |
| Gemma-2-9B | 48.17 | Not recorded | 68fa770f1e209131cea70d8f |
| Mistral-7B-Instruct-v0.3 | 37.21 | Not recorded | 68fa770f1e209131cea70d8f |
| Llama-3.1-8B-Instruct | 23.15 | Not recorded | 68fa770f1e209131cea70d8f |

### MTL-MSMO-DISTLL

FR Score: 63.23. Result ID: 69dcb93c47f34ce924c40415.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

Recorded evaluation configuration: {"Backbone":"XLM-R"}. This record does not assert independent reproduction.

### Qwen2.5-7B

FR Score: 63.01. Result ID: 69dcb93c47f34ce924c40413.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

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

Recorded evaluation configuration: {"Training Protocol":"LoRA fine-tuning","Fine-tuning Method":"LoRA"}. This record does not assert independent reproduction.

### Mistral-7B-v0.3

FR Score: 59.46. Result ID: 69dcb93c47f34ce924c40412.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70d61e209131cea4d909.md>)

[Implementation](<https://github.com/mistralai/mistral-src>)

Recorded evaluation configuration: {"Training Protocol":"LoRA fine-tuning","Fine-tuning Method":"LoRA"}. This record does not assert independent reproduction.

### MTL-MSMO-DISTLL

FR Score: 54.56. Result ID: 69dcb93c47f34ce924c40414.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

Recorded evaluation configuration: {"Backbone":"mBERT"}. This record does not assert independent reproduction.

### Llama-3.1-8B

FR Score: 52.65. Result ID: 69dcb93c47f34ce924c40411.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

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

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

Recorded evaluation configuration: {"Training Protocol":"LoRA fine-tuning","Fine-tuning Method":"LoRA"}. This record does not assert independent reproduction.

### Gemma-2-9b-It

FR Score: 50.94. Result ID: 69dcb93c47f34ce924c4040c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75001e209131cea6527c.md>)

Recorded evaluation configuration: {"Training Protocol":"Zero-shot prompting","Prompting Template":"Wu et al. (2025b)"}. This record does not assert independent reproduction.

### Qwen2.5-7B-Instruct

FR Score: 48.88. Result ID: 69dcb93c47f34ce924c4040f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

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

Recorded evaluation configuration: {"Training Protocol":"Zero-shot prompting","Prompting Template":"Wu et al. (2025b)"}. This record does not assert independent reproduction.

### GPT-4o

FR Score: 48.43. Result ID: 69dcb93c47f34ce924c4040b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

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

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

Recorded evaluation configuration: {"Training Protocol":"Zero-shot prompting","Prompting Template":"Wu et al. (2025b)"}. This record does not assert independent reproduction.

### Gemma-2-9B

FR Score: 48.17. Result ID: 69dcb93c47f34ce924c40410.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75001e209131cea6527c.md>)

Recorded evaluation configuration: {"Training Protocol":"LoRA fine-tuning","Fine-tuning Method":"LoRA"}. This record does not assert independent reproduction.

### Mistral-7B-Instruct-v0.3

FR Score: 37.21. Result ID: 69dcb93c47f34ce924c4040e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70d61e209131cea4d909.md>)

[Implementation](<https://github.com/mistralai/mistral-src>)

Recorded evaluation configuration: {"Training Protocol":"Zero-shot prompting","Prompting Template":"Wu et al. (2025b)"}. This record does not assert independent reproduction.

### Llama-3.1-8B-Instruct

FR Score: 23.15. Result ID: 69dcb93c47f34ce924c4040d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa770f1e209131cea70d8f.md>)

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

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

Recorded evaluation configuration: {"Training Protocol":"Zero-shot prompting","Prompting Template":"Wu et al. (2025b)"}. This record does not assert independent reproduction.

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