Robert Sim

Robert Sim has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Ahmed Hassan Awadallah, Ahmed Salem, Chi Wang.

2 papers in our library · 2023–2024

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Analyzing Leakage of Personally Identifiable Information in Language Models (2023 · 252 citations)
Fine-tuned language models can memorize and expose personal data. Many practitioners assume that NER-based scrubbing or differential privacy removes this risk, but that assumption has rarely been tested. Lukas et al. define three levels of PII leakage through black-box API access as formal security games. In…
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing (2024 · 98 citations)
Large LLMs answer well but need costly cloud hardware. Smaller models are cheap enough for edge devices but usually give weaker answers. The authors note that many queries are "easy," and a small model handles them about as well as a big one. They propose hybrid inference: a learned router sends each query to either…

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 189 times (of the 149,439 papers whose bibliographies we read); 55 citing papers with a page here →.

Updated 2 November 2026