Publications

  1. IEEE ICIP 2025

    Vision Language Model Interpretability with Concept Guided Decoding

    Pedro H. V. Valois⁠, Dipesh Satav⁠, Rodrigo A. P. de Campos⁠, Gulpi Q. O. Pratamasunu⁠, Kazuhiro Fukui

    TLDR

    Extended frame-based concept guidance into vision-language models and used it to inspect safety weaknesses in Qwen2-VL and Llama 3.2 Vision.

  2. EMNLP 2025

    Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation

    Pedro H. V. Valois⁠, Lincon S. Souza⁠, Erica K. Shimomoto⁠, Kazuhiro Fukui

    TLDR

    Modeled frames so multi-token words can be measured, compared, and used for concept-guided generation across modern LLMs.

  3. CMCL @ NAACL 2025

    From Punchlines to Predictions: A Metric to Assess LLM Performance in Identifying Humor in Stand-Up Comedy

    Adrianna Romanowski⁠, Pedro H. V. Valois⁠, Kazuhiro Fukui

    TLDR

    Evaluated humor detection in stand-up comedy by comparing LLM-selected punchlines with audience-laughter ground truth.

  4. FSI:DI 2025

    Leveraging Self-Supervised Learning for Scene Classification in Child Sexual Abuse Imagery

    Pedro H. V. Valois⁠, João Macedo⁠, Leo S. F. Ribeiro⁠, Jefersson A. dos Santos⁠, Sandra Avila

    TLDR

    Framed CSAM triage with law-enforcement guidance as a safer proxy for classifying abuse imagery scenes.

  5. arXiv 2024

    Second-order difference subspace

    Kazuhiro Fukui⁠, Pedro H. V. Valois⁠, Lincon Souza⁠, Takumi Kobayashi

    TLDR

    Generalized first-order difference subspaces to capture velocity and acceleration-like dynamics on Grassmann manifolds.

  6. IEEE/CVF WACV 2024

    Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space

    Pedro H. V. Valois⁠, Koichiro Niinuma⁠, Kazuhiro Fukui

    TLDR

    Designed OSA-DAS, a perturbation-based visual explanation method that compares augmentation and occlusion subspaces in deep feature space.