--- library_name: transformers license: other base_model: Qwen/Qwen3-VL-8B-Thinking tags: - llama-factory - full - generated_from_trainer model-index: - name: HiViG-critic results: [] datasets: - OpenGVLab/ScaleCUA-Data language: - en --- # Model Card for HiViG-critic for HiViG (History-aware Visually Grounded) test-time intervention framework ## Model Description HiViG (History-aware Visually Grounded), a test-time intervention framework designed to equip CUAs with history state tracking and visually grounded error analysis. Inside our framework, we propose HiVis-critic, a multimodal model to serve as an intervention engine with these dual critique generation capabilities. **Key Highlights:** * 📝 **HiViG-critic for history state tracking**: maintains a macro-action history, a compact record of past interactions to date, recursively compressing past interactions into multi-step achieved goals, enabling better history-aware planning of policies over long horizons. * 🎯 **HiViG-critic for visually grounded error analysis**: verifies raw execution coordinates against actual visual states. If a proposed action is flawed, the model identifies the error dimension to provide the policy with corrective guidance before execution. - **Developed by:** Jaewoo Lee, Zaid Khan, Archiki Prasad, Justin Chih-Yao Chen, Supriyo Chakraborty, Kartik Balasubramaniam, Sambit Sahu, Elias Stengel-Eskin, Hyunji Lee, Mohit Bansal - **Model type:** `Qwen3ForCausalLM`, fine-tuned Large Language Model - **Language(s) (NLP):** English - **License:** MIT - **Finetuned from model:** Qwen3-VL-8B-Thinking ### Model Sources - **Repository:** https://github.com/G-JWLee/HiViG - **Paper:** [A History-Aware Visually Grounded Critic for Computer Use Agents](TBD) ## Overview of HiViG ![Overview of HiViG](https://raw.githubusercontent.com/G-JWLee/HiViG/main/assets/overview.png ) ## Uses ### Test-time intervention The HiViG-critic model serves as an intervention engine with these dual critique generation capabilities to aid policies in long-horizon GUI tasks, enabling precise error analysis before execution and providing a history state tracking that allows better decisions. ## Citation If you find this work useful, please consider citing us: ```bibtex @article{lee2026hivig, title={A History-Aware Visually Grounded Critic for Computer Use Agents}, author={Jaewoo Lee and Zaid Khan and Archiki Prasad and Justin Chih-Yao Chen and Supriyo Chakraborty and Kartik Balasubramaniam and Sambit Sahu and Elias Stengel-Eskin and Hyunji Lee and Mohit Bansal}, year={2026}, journal={arXiv preprint arXiv:2606.11078}, url={https://arxiv.org/abs/2606.11078}, } ```