Tootfinder

Telefon und Kurznachrichten: Apple öffnet iPhone-Kernfunktionen in der EU
RCS/SMS-Nachrichten und Telefonie gab es seit jeher nur in Apples Telefon- und Nachrichten-App. Das ändert sich bald.

#NowWatching #Trololo

This https://arxiv.org/abs/2505.13453 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPL_…

Pel, A Programming Language for Orchestrating AI Agents
The proliferation of Large Language Models (LLMs) has opened new frontiers in computing, yet controlling and orchestrating their capabilities beyond simple text generation remains a challenge. Current methods, such as function/tool calling and direct code generation, suffer from limitations in expressiveness, scalability, cost, security, and the ability to enforce fine-grained control. This paper introduces Pel, a novel programming language specifically designed to bridge this gap. Inspired by …

This https://arxiv.org/abs/2502.20799 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Quantum-assisted variational Monte Carlo
Solving the ground state of quantum many-body systems remains a fundamental challenge in physics and chemistry. Recent advancements in quantum hardware have opened new avenues for addressing this challenge. Inspired by the quantum-enhanced Markov chain Monte Carlo (QeMCMC) algorithm [Nature, 619, 282-287 (2023)], which was originally designed for sampling the Boltzmann distribution of classical spin models using quantum computers, we introduce a quantum-assisted variational Monte Carlo (QA-VMC)…

This https://arxiv.org/abs/2409.17458 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

RED QUEEN: Safeguarding Large Language Models against Concealed Multi-Turn Jailbreaking
The rapid progress of Large Language Models (LLMs) has opened up new opportunities across various domains and applications; yet it also presents challenges related to potential misuse. To mitigate such risks, red teaming has been employed as a proactive security measure to probe language models for harmful outputs via jailbreak attacks. However, current jailbreak attack approaches are single-turn with explicit malicious queries that do not fully capture the complexity of real-world interactions…

We've been studying the cognitive science of *diagrams*, and have recently put out a new (very) lightweight programming language and tool for diagramming models in formal methods. Check it out here!
https://blog.brownplt.org/2025/06/09/copeanddrag.html

Details Leaked on Why Cowboys 2nd Rounder Donovan Ezeiruaku Has Not Signed Deal https://heavy.com/sports/nfl/dallas-cowboys/details-leaked-on-why-cowboys-2nd-rounder-donovan-ezeiruaku-has-not-sign…

This https://arxiv.org/abs/2504.20118 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis
Traditional Chinese Medicine (TCM) represents a rich repository of ancient medical knowledge that continues to play an important role in modern healthcare. Due to the complexity and breadth of the TCM literature, the integration of AI technologies is critical for its modernization and broader accessibility. However, this integration poses considerable challenges, including the interpretation of obscure classical Chinese texts and the modeling of intricate semantic relationships among TCM concep…

This https://arxiv.org/abs/2403.07061 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Simulating Meson Scattering on Spin Quantum Simulators
Studying high-energy collisions of composite particles, such as hadrons and nuclei, is an outstanding goal for quantum simulators. However, preparation of hadronic wave packets has posed a significant challenge, due to the complexity of hadrons and the precise structure of wave packets. This has limited demonstrations of hadron scattering on quantum simulators to date. Observations of confinement and composite excitations in quantum spin systems have opened up the possibility to explore scatter…

Structured Semantics from Unstructured Notes: Language Model Approaches to EHR-Based Decision Support
Wu Hao Ran, Xi Xi, Furong Li, Jingyi Lu, Jian Jiang, Hui Huang, Yuzhuan Zhang, Shi Li
https://arxiv.org/abs/2506.06340

Structured Semantics from Unstructured Notes: Language Model Approaches to EHR-Based Decision Support
The advent of large language models (LLMs) has opened new avenues for analyzing complex, unstructured data, particularly within the medical domain. Electronic Health Records (EHRs) contain a wealth of information in various formats, including free text clinical notes, structured lab results, and diagnostic codes. This paper explores the application of advanced language models to leverage these diverse data sources for improved clinical decision support. We will discuss how text-based features, …