5 papers
Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization
Audrey Chan, Aaron Labbé, Jacob Lavoie +4
Functional music applications, from consumer focus and sleep aids to clinical interventions, share a distinctive recommendation problem: success is defined by the listener's affect…
CLIP Is Shortsighted: Paying Attention Beyond the First Sentence
Marc-Antoine Lavoie, Anas Mahmoud, Aldo Zaimi +2
CLIP models learn transferable multi-modal features via image-text contrastive learning on internet-scale data. They are widely used in zero-shot classification, multi-modal retrie…
Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring
Wenhao Xu, Akshatha Arodi, Jian-Yun Nie +1
Modern slavery affects millions of people worldwide, and regulatory frameworks such as Modern Slavery Acts now require companies to publish detailed disclosures. However, these sta…
AIMSCheck: Leveraging LLMs for AI-Assisted Review of Modern Slavery Statements Across Jurisdictions
Adriana Eufrosina Bora, Akshatha Arodi, Duoyi Zhang +6
Modern Slavery Acts mandate that corporations disclose their efforts to combat modern slavery, aiming to enhance transparency and strengthen practices for its eradication. However,…
AIMS.au: A Dataset for the Analysis of Modern Slavery Countermeasures in Corporate Statements
Adriana Eufrosina Bora, Pierre-Luc St-Charles, Mirko Bronzi +3
Despite over a decade of legislative efforts to address modern slavery in the supply chains of large corporations, the effectiveness of government oversight remains hampered by the…