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Verna Dankers

2 papers indexed

arxivcs.CVcs.AI2026-07-23

CRAG-MM-Diagnostics: Enabling Stage-Wise Analysis of Knowledge-Intensive VQA

Hanseok Oh, Parishad BehnamGhader, Benno Krojer, Hyunji Lee, Paul Liang, Siva Reddy, et al.

Knowledge-Intensive Visual Question Answering (KI-VQA) benchmarks evaluate Vision-Language Models (VLMs) as multimodal knowledge assistants by requiring external information beyond a provided image to answer questions. KI-VQA involves multiple sub-problems -referring expression u…

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arxivcs.CLcs.AIcs.LG2026-07-02

LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning

Matteo Boglioni, Thibault Rousset, Siva Reddy, Marius Mosbach, Verna Dankers

LLMs memorize sensitive training data, including personally identifiable information (PII), creating a pressing need for reliable post hoc removal methods. Unlearning has emerged as a promising solution, with state-of-the-art(SOTA) methods often following a localize-first, unlear…

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