Gili Lior — accepted AI-conference papers

2025

ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments

Gili Lior, Eliya Habba, Shahar Levy, Avi Caciularu, Gabriel Stanovsky

EMNLP 2025

LLMs are highly sensitive to prompt phrasing, yet standard benchmarks typically report performance using a single prompt, raising concerns about the reliability of such evaluations. In this work, we argue for a stochastic method of moments evaluation over the space of meaning-preserving prompt pertu

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2024

Leveraging Collection-Wide Similarities for Unsupervised Document Structure Extraction

Gili Lior, Yoav Goldberg, Gabriel Stanovsky

ACL 2024findings

Document collections of various domains, e.g., legal, medical, or financial, often share some underlying collection-wide structure, which captures information that can aid both human users and structure-aware models.We propose to identify the typical structure of document within a collection, which…

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