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cs.CL2026
Free Lunch for LLMs Confidence: The RL Critic Already Knows
Shujin Wu, Heng Ji
Reliable confidence estimation is essential for trustworthy deployment of large language models (LLMs), but dedicated confidence training stage requires additional data and compute…
cs.AI2026
Evaluating the Hidden Costs of Personalization in Large Language Models
Yumeng Wang, Yuchen Wu, Cheng Qian +6
While Large language models (LLMs) incorporate user personalization signals to improve usability and helpfulness, they increasingly shift from providing balanced, informative respo…
cs.AI2026
Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers
Samuel Schapiro, Alexi Gladstone, Jonah Black +1
Measuring the creativity of large language models (LLMs) is essential for designing methods that can improve creativity and for enhancing our scientific understanding of this abili…