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Model: thu-coai/SeTox-Qwen2.5-7B
Source: Original Platform

README.md

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+---
+language:
+- zh
+base_model: Qwen/Qwen2.5-7B-Instruct
+pipeline_tag: text-generation
+tags:
+- safety
+- toxicity-detection
+- tool-use
+- search-augmented
+---
+
+# SeTox-Qwen2.5-7B
+
+SeTox-Qwen2.5-7B is a full-SFT model based on `Qwen/Qwen2.5-7B-Instruct` for
+Chinese neologism toxicity detection with optional web-search tool use.
+
+## Training
+
+- Base model: `Qwen/Qwen2.5-7B-Instruct`
+- Method: full supervised fine-tuning
+- Training data: SeTox tool-use and direct SFT data
+- Epochs: 4
+- Learning rate: `1e-5`
+- Scheduler: linear with warmup ratio `0.05`
+- Context cutoff: `4096`
+
+## Evaluation
+
+Main SeTox neologism test set, 624 valid samples:
+
+| Checkpoint | Accuracy | Unsafe F1 | Unsafe Recall | Safe F1 |
+| --- | ---: | ---: | ---: | ---: |
+| checkpoint-200 | 0.9407 | 0.9609 | 0.9286 | 0.8771 |
+| checkpoint-175 | 0.9183 | 0.9451 | 0.8959 | 0.8401 |
+
+Live search and generation settings can introduce small drift during
+reproduction.
+
+## Usage
+
+See the SeTox code repository for search-augmented inference:
+
+```bash
+python scripts/run_inference.py \
+  --model_path thu-coai/SeTox-Qwen2.5-7B \
+  --search_backend serper \
+  --input_path data/eval/neologism_test.json \
+  --output_path outputs/neologism_predictions.json
+```
+
+For offline smoke tests, use `--mock` or `--search_backend none`.
+
+## Limitations
+
+This model is intended for research on Chinese neologism toxicity detection. It
+can make mistakes on ambiguous, fast-changing, adversarial, or under-specified
+terms. Search results may contain noisy or unsafe snippets, and downstream users
+should apply appropriate safety review before deployment.
+
+## Citation
+
+Please cite the SeTox ACL paper:
+
+- Paper: https://aclanthology.org/2026.acl-long.1602/
+- DOI: https://doi.org/10.18653/v1/2026.acl-long.1602
+
+```bibtex
+@inproceedings{cui-etal-2026-setox,
+  title = "{S}e{T}ox: Search-enhanced Reasoning for {LLM}-based Toxicity Detection over {C}hinese Internet Buzzwords",
+  author = "Cui, Yiming and Zhang, Qinglin and Su, Xu and Min, Changyu and Hu, Shilin and Huang, Minlie",
+  editor = "Che, Wanxiang and Nabende, Joyce and Shutova, Ekaterina and Pilehvar, Mohammad Taher",
+  booktitle = "Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
+  month = jul,
+  year = "2026",
+  address = "San Diego, California, USA",
+  publisher = "Association for Computational Linguistics",
+  url = "https://aclanthology.org/2026.acl-long.1602/",
+  doi = "10.18653/v1/2026.acl-long.1602",
+  pages = "33018--33034"
+}
+```