Y et, their application to knowledge graphs (KGs), which describe facts in the form of triplets and allow minimal hallucinations, remains an underexplored frontier.

However, the trustworthiness of Med-L VLMs remains unverified, posing significant risks for future model deployment.

Waymo open dataset to validate the proposed ZOPP on various perception tasks.

D efender ( RaPiD) problem, aiming to rapidly counter adversarial perturbations without altering the deployed model.

The Gartner 2021 Digital Worker Experience Survey reports that the number of in-person meetings dropped from 63% in 2019 to 33% in 2021 [2].

Modern machine learning systems are able to learn extremely complicated relations from data.

A critical approach for efficiently deploying computationally demanding large language models (LLMs) is Key-V alue (KV) caching.

The complexity of automating bias evaluation in textual content poses significant challenges. Traditional approaches in social sciences, such as content analysis, often rely on manual word counts from static lists [Gaucher et al., 2011], which may miss the subtleties and unlisted language cues that advanced NLP technologies can detect.

In this paper, we propose OneRef, a minimalist referring framework built on the modality-shared one-tower transformer that unifies the visual and linguistic feature spaces.

Language Models (VLM) to interpret video anomalies precisely.