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cs.CL2026
GRASP: Reinforcing Language Model Anonymizers with Group Relative Policy Optimization
Sajjad Ghiasvand, Nader Sehatbakhsh
Large language models can infer sensitive personal attributes, such as age, location, and occupation, from ordinary text, turning everyday writing into a privacy risk. Adversarial…
cs.CL2026
Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language Models
Sajjad Ghiasvand, Maryam Amirizaniani, Haniyeh Ehsani Oskouie +2
Open-ended aesthetic critique is a challenge for multimodal large language models (MLLMs): it has no single correct answer, and most aesthetic evaluation measures models against nu…