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cs.AI2026
Learning What to Forget: Distributional Unlearning for LLM Representation Spaces
Pinaki Mohanty, Haoran Tang, Maggie Makar +1
Machine learning systems increasingly face the need to remove the influence of entire data domains, such as toxic language, harmful behavior, or topical content, rather than isolat…
cs.LG2026
Causal Machine Learning Is Not a Panacea: A Roadmap for Observational Causal Inference in Health
Donna Tjandra, Trenton Chang, Sonali Parbhoo +8
Objective: The growing availability of large-scale observational clinical datasets and challenges in conducting randomized controlled trials have spurred enthusiasm in using causal…