Author

Nigel Collier

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#artificial intelligence Preprint Oct 2026

Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use

Memory enables language model assistants to maintain continuity across sessions and generate personalized responses, but knowing more about a user does not necessarily produce responses they prefer. Existing evaluations assess memory capabilities without directly establishing whether memory use benefits the user. To st...

Yijiang River Dong, Ze-Xue He, Cheng Yu et al. · 0 citations

#artificial intelligence Jan 2026

Confident Rankings with Fewer Items: Adaptive LLM Evaluation with Continuous Scores

This work presents a principled extension of IRT-based adaptive testing to continuous bounded scores to continuous bounded scores (ROUGE, BLEU, LLM-as-a-Judge) by replacing the Bernoulli response distribution with a heteroskedastic normal distribution.

Esma Balkir, Alice Pernthaller, Marco Basaldella et al. · arXiv.org · 5 citations · ⚡1