activity
20092026
most citedExpected Performance of the ATLAS Experiment - Detector, Trigger and Physics

586 citations · 2.5k across the 38 of their papers we have counts for

collaborators

39 papers

cs.LG2026

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

Bartłomiej Marek, Lorenzo Rossi, Vincent Hanke +4

Recent work has applied differential privacy (DP) to adapt large language models (LLMs) for sensitive applications, offering theoretical guarantees. However, its practical effectiv…

cs.CL2024★ 54 cited

TrustLLM: Trustworthiness in Large Language Models

Yue Huang, Lichao Sun, Haoran Wang +67

Large language models (LLMs), exemplified by ChatGPT, have gained considerable attention for their excellent natural language processing capabilities. Nonetheless, these LLMs prese…

cs.CV2023

UMDFood: Vision-language models boost food composition compilation

Peihua Ma, Yixin Wu, Ning Yu +4

Nutrition information is crucial in precision nutrition and the food industry. The current food composition compilation paradigm relies on laborious and experience-dependent method…

cs.CV2023★ 1 cited

From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need

Ziqing Yang, Zeyang Sha, Michael Backes +1

Visual prompt learning, as a newly emerged technique, leverages the knowledge learned by a large-scale pre-trained model and adapts it to downstream tasks through the usage of prom…

cs.SI2022★ 2 cited

On Xing Tian and the Perseverance of Anti-China Sentiment Online

Xinyue Shen, Xinlei He, Michael Backes +3

Sinophobia, anti-Chinese sentiment, has existed on the Web for a long time. The outbreak of COVID-19 and the extended quarantine has further amplified it. However, we lack a quanti…

astro-ph.IM2021★ 7 cited

Dark sky tourism and sustainable development in Namibia

Hannah Dalgleish, Getachew Mengistie, Michael Backes +2

Namibia is world-renowned for its incredibly dark skies by the astronomy community, and yet, the country is not well recognised as a dark sky destination by tourists and travellers…