3 papers
cs.LG2026
Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization
Tanmay Ambadkar, Sourav Panda, Shreyash Kale +2
Multi-objective reinforcement learning (MORL) seeks to train agents capable of balancing conflicting objectives. While single preference-conditioned policies offer a highly scalabl…
cs.CL2025
Fake News Detection After LLM Laundering: Measurement and Explanation
Rupak Kumar Das, Jonathan Dodge
With their advanced capabilities, Large Language Models (LLMs) can generate highly convincing and contextually relevant fake news, which can contribute to disseminating misinformat…
cs.HC2024
Inclusive Design of AI's Explanations: Just for Those Previously Left Out, or for Everyone?
Md Montaser Hamid, Fatima Moussaoui, Jimena Noa Guevara +4
Motivations: Explainable Artificial Intelligence (XAI) systems aim to improve users' understanding of AI, but XAI research shows many cases of different explanations serving some u…