PPaperPicks

Raúl Santos-Rodríguez

9 papers at tracked venues · 2 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Alexander Hepburn
×4
Edwin Simpson
×3
Yuxuan Ye
×2
Jonathan Erskine
×2
Matthew Clifford
×2
Wasaif Alsolami
×1
Zahraa S. Abdallah
×1
James Pope
×1
Taku Yamagata
×1
Patricia West
×1
Michelle Wing Lam Wan
×1
Jeffrey Nicholas Clark
×1

Papers

  1. Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies
    ACL 2026 ·
    Yuxuan Ye
    , Raúl Santos-Rodríguez,
    Edwin Simpson
  2. An Object-Level Entropy-Based Adversarial Attack for Image Privacy
    ECML-PKDD 2025 ·
    Wasaif Alsolami
    , Raúl Santos-Rodríguez,
    Zahraa S. Abdallah
    ,
    James Pope
  3. Guidelines for Safe and Robust Reinforcement Learning: From Definitions to Design
    ECML-PKDD 2025 ·
    Taku Yamagata
    , Raúl Santos-Rodríguez
  4. Machine Learning for Climate Policy: Understanding Policy Progression in the European Green Deal
    ECML-PKDD 2025 ·
    Patricia West
    ,
    Michelle Wing Lam Wan
    ,
    Alexander Hepburn
    ,
    Edwin Simpson
    , Raúl Santos-Rodriguez,
    Jeffrey Nicholas Clark
  5. Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics
    EMNLP 2025 ·
    Yuxuan Ye
    , Raúl Santos-Rodríguez,
    Edwin Simpson
  6. An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations
    IJCAI 2024 ·
    Jonathan Erskine
    ,
    Matthew Clifford
    ,
    Alexander Hepburn
    , Raúl Santos-Rodríguez
  7. Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
    AAAI 2024 ·
    Weisong Yang
    ,
    Rafael Poyiadzi
    ,
    Niall Twomey
    , Raúl Santos-Rodríguez
  8. Learning Confidence Bounds for Classification with Imbalanced Data
    ECAI 2024 ·
    Matthew Clifford
    ,
    Jonathan Erskine
    ,
    Alexander Hepburn
    , Raúl Santos-Rodríguez,
    Dario García-García
  9. The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
    ECML-PKDD 2024 ·
    Tashi Namgyal
    ,
    Alexander Hepburn
    , Raúl Santos-Rodríguez,
    Valero Laparra
    ,
    Jesus Malo