450 citations · 653 across the 56 of their papers we have counts for
59 papers
Agent Collectives Should Not Detect Their Own Imposters: A Chess Case Study
Alexandre Le Mercier, Chris Develder, Thomas Demeester
A collective of AI agents collaborating on a task has the potential to outclass any individual agent for that task. We study the robustness of such collectives against possible imp…
CLASP: Defending Hybrid Large Language Models Against Hidden State Poisoning Attacks
Alexandre Le Mercier, Thomas Demeester, Chris Develder
State space models (SSMs) like Mamba have gained significant traction as efficient alternatives to Transformers, achieving linear complexity while maintaining competitive performan…
WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain
Matthias De Lange, Warre Veys, Federico Retyk +16
Today's evolving labor markets rely increasingly on recommender systems for hiring, talent management, and workforce analytics, with natural language processing (NLP) capabilities…
The Entropic Signature of Class Speciation in Diffusion Models
Florian Handke, Dejan Stančević, Felix Koulischer +2
Diffusion models do not recover semantic structure uniformly over time. Instead, samples transition from semantic ambiguity to class commitment within a narrow regime. Recent theor…
Hidden State Poisoning Attacks against Mamba-based Language Models
Alexandre Le Mercier, Chris Develder, Thomas Demeester
State space models (SSMs) like Mamba offer efficient alternatives to Transformer-based language models, with linear time complexity. Yet, their adversarial robustness remains criti…
A Customer Journey in the Land of Oz: Leveraging the Wizard of Oz Technique to Model Emotions in Customer Service Interactions
Sofie Labat, Thomas Demeester, Véronique Hoste
Emotion-aware customer service needs in-domain conversational data, rich annotations, and predictive capabilities, but existing resources for emotion recognition are often out-of-d…