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README.md
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---
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datasets:
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- dmgcsilva/InstructionVidDial
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language:
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- en
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base_model:
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- meta-llama/Llama-3.1-8B-Instruct
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---
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# VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval
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VIGiA is a multimodal dialogue model for conversational instructional plan guidance, accepted at **EACL 2026**.
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It assists users through complex multi-step procedures (e.g., cooking, DIY) via interactive dialogue, supporting plan-grounded answer generation, plan-aware VQA, visually-informed step generation, and conversational video moment retrieval.
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## Model Details
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- **Language Model**: LLaMA 3.1 8B Instruct
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- **Visual Encoder**: SigLIP SO400M (224x224, patch size 14)
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- **Connector**: 2-layer MLP
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- **Training**: 4-stage progressive training with LoRA
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## Links
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- **Code & full documentation**: [github.com/dmgcsilva/vigia](https://github.com/dmgcsilva/vigia)
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- **Dataset**: [InstructionVidDial](#) <!-- TODO: add link -->
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- **Paper**: *VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval* (EACL 2026)
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## Citation
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```bibtex
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@inproceedings{gloria-silva-etal-2026-vigia,
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title = "{VIG}i{A}: Instructional Video Guidance via Dialogue Reasoning and Retrieval",
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author = "Gl{\'o}ria-Silva, Diogo and Semedo, David and Magalh{\~a}es, Jo{\~a}o",
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booktitle = "Proceedings of the 2026 Conference of the European Chapter of the Association for Computational Linguistics",
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year = "2026",
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publisher = "Association for Computational Linguistics",
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}
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```
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