Tootfinder

Improving Drug Identification in Overdose Death Surveillance using Large Language Models
Arthur J. Funnell, Panayiotis Petousis, Fabrice Harel-Canada, Ruby Romero, Alex A. T. Bui, Adam Koncsol, Hritika Chaturvedi, Chelsea Shover, David Goodman-Meza
https://arxiv.org/abs/2507.12679

Improving Drug Identification in Overdose Death Surveillance using Large Language Models
The rising rate of drug-related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical overdose data are often buried in free-text coroner reports, leading to delays and information loss when coded into ICD (International Classification of Disease)-10 classifications. Natural language processing (NLP) models may automate and enhance overdose surveillance, but prior applications have been limited. A dataset of 35,433 death records fr…

Investigating Document Type, Language, Publication Year, and Author Count Discrepancies Between OpenAlex and Web of Science
Philippe Mongeon, Madelaine Hare, Poppy Riddle, Summer Wilson, Geoff Krause, Rebecca Marjoram, R\'emi Toupin
https://arxiv.org/abs/2508.18620

Investigating Document Type, Language, Publication Year, and Author Count Discrepancies Between OpenAlex and Web of Science
Bibliometrics, whether used for research or research evaluation, relies on large multidisciplinary databases of research outputs and citation indices. The Web of Science (WoS) was the main supporting infrastructure of the field for more than 30 years until several new competitors emerged. OpenAlex, a bibliographic database launched in 2022, has distinguished itself for its openness and extensive coverage. While OpenAlex may reduce or eliminate barriers to accessing bibliometric data, one of the…

The Vela pulsar and its pulsar wind nebula Vela-X using 13 years of Fermi-LAT Observations
Alexander Lange, J. Eagle, O. Kargaltsev, Lucien Kuiper, Jeremy Hare
https://arxiv.org/abs/2506.16687

The Vela pulsar and its pulsar wind nebula Vela-X using 13 years of Fermi-LAT Observations
We present results of more than 13 years of Fermi-LAT data analysis for the Vela pulsar from 60 MeV to 100 GeV and its pulsar wind nebula (PWN), Vela-X, for E > 1 GeV in the off-pulse phases. We find the Vela-X PWN can be best characterized using two extended components: a large radial Gaussian accompanied by an off-set, compact radial disk, both with a similar spectral index, Γ\sim 2.3. The common spectral properties support a common PWN origin, but a supernova remnant component is plausible …

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, George Turkiyyah, Bernard Ghanem
https://arxiv.org/abs/2508.20766

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
Safety alignment in Large Language Models (LLMs) often involves mediating internal representations to refuse harmful requests. Recent research has demonstrated that these safety mechanisms can be bypassed by ablating or removing specific representational directions within the model. In this paper, we propose the opposite approach: Rank-One Safety Injection (ROSI), a white-box method that amplifies a model's safety alignment by permanently steering its activations toward the refusal-mediating su…