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| license: mit | |
| language: | |
| - en | |
| - zh | |
| tags: | |
| - multimodal | |
| - sentiment-analysis | |
| - multimodal-sentiment-analysis | |
| - missing-modality | |
| datasets: | |
| - Bluexxx/SemMSA-data | |
| base_model: | |
| - Qwen/Qwen3-1.7B | |
| # SemMSA checkpoints | |
| Checkpoints of **SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data** | |
| ([paper](https://arxiv.org/abs/2609.30238), [code](https://github.com/peacelwh/SemMSA), | |
| [project page](https://peacelwh.github.io/SemMSA/), [data](https://huggingface.co/datasets/Bluexxx/SemMSA-data)). | |
| SemMSA constructs sentiment-relevant latent semantics with a frozen LLM (Qwen3-1.7B) through Cross-modal Semantic | |
| Refinement (CSR) and aligns them with language, visual and acoustic representations through Cross-modal Spectral | |
| Alignment (CSA). | |
| ## Released checkpoints | |
| Checkpoints for **CH-SIMS** are released; checkpoints for MOSI and MOSEI will be added later. | |
| ``` | |
| <dataset>/<config>/best_<metric>_<seed>.pth | |
| ``` | |
| `<config>` is the training configuration `configs/<dataset>/<config>.yaml` of the code repository. Following the | |
| evaluation protocol of LNLN and P-RMF, one checkpoint is kept for each metric; `configs/<dataset>/eval.yaml` lists the | |
| checkpoint used for every reported metric. | |
| | Config | Files (seeds 1111, 1112, 1113) | Used for | | |
| |---|---|---| | |
| | `sims/main` | `best_Mult_acc_2_*.pth`, `best_MAE_*.pth` | Acc-2, Corr | | |
| | `sims/f1` | `best_Mult_acc_2_*.pth` | F1 | | |
| | `sims/reg` | `best_Mult_acc_3_*.pth`, `best_MAE_*.pth` | Acc-3, MAE | | |
| | `sims/acc5` | `best_Mult_acc_5_*.pth` | Acc-5 | | |
| The files contain only the trainable weights: the frozen Qwen3-1.7B (and BERT, when it is frozen) are loaded from | |
| `pretrained/`. | |
| ## Usage | |
| ```bash | |
| git clone https://github.com/peacelwh/SemMSA.git && cd SemMSA | |
| pip install -r requirements.txt && pip install -e . | |
| bash scripts/download_pretrained.sh | |
| bash scripts/download_data.sh sims | |
| bash scripts/download_checkpoints.sh sims # this repository -> checkpoints/ | |
| bash scripts/evaluate.sh sims 0 # robust evaluation under missing rates 0.0-0.9 | |
| ``` | |
| ## Citation | |
| ```bibtex | |
| @article{li2026semmsa, | |
| title = {SemMSA: Latent Semantic-Aided Robust Multimodal Sentiment Analysis with Incomplete Data}, | |
| author = {Li, Wenhao and Wu, Zhibin and Xiao, Chong and Wang, Qiangchang}, | |
| journal = {arXiv preprint arXiv:2609.30238}, | |
| year = {2026} | |
| } | |
| ``` | |