Author

Ali Al-Lawati

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#machine learning Preprint Sep 2026

Quantifying Behavioral Tails in Black-Box Language Models

We introduce RareTrap, a framework for estimating the probability of severe behaviors in black box large language models (LLMs). A key challenge for probability estimation is defining a tractable distribution over the input space. To accomplish that, RareTrap uses a surrogate LLM and constructs a geometry-aware mapping...

Elsayed Eshra, Ali Al-Lawati, Dongwon Lee et al. · 0 citations

Preprint Aug 2026

Unified Multi-Dimensional Benchmark for Complex Graph Reasoning in Large Language Models

A five-stage semi-automatic framework for constructing complex graph reasoning benchmarks that serves as a challenging and diagnostic benchmark for graph reasoning and provides empirical guidance for future enhancement methods is proposed.

Fali Wang, Ali Al-Lawati, Iliyas Bektas et al. · 0 citations