Tootfinder

This https://arxiv.org/abs/2505.01903 has been replaced.
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LookAlike: Consistent Distractor Generation in Math MCQs
Large language models (LLMs) are increasingly used to generate distractors for multiple-choice questions (MCQs), especially in domains like math education. However, existing approaches are limited in ensuring that the generated distractors are consistent with common student errors. We propose LookAlike, a method that improves error-distractor consistency via preference optimization. Our two main innovations are: (a) mining synthetic preference pairs from model inconsistencies, and (b) alternati…

Verification of the Release-Acquire Semantics
Parosh Abdulla, Elli Anastasiadi, Mohamed Faouzi Atig, Samuel Grahn
https://arxiv.org/abs/2506.08238 https://…

Verification of the Release-Acquire Semantics
The Release-Acquire (RA) semantics and its variants are some of the most fundamental models of concurrent semantics for architectures, programming languages, and distributed systems. Several steps have been taken in the direction of testing such semantics, where one is interested in whether a single program execution is consistent with a memory model. The more general verification problem, i.e., checking whether all allowed program runs are consistent with a memory model, has still not been stu…

Trading Under Uncertainty: A Distribution-Based Strategy for Futures Markets Using FutureQuant Transformer
Wenhao Guo, Yuda Wang, Zeqiao Huang, Changjiang Zhang, Shumin ma
https://arxiv.org/abs/2505.05595

Trading Under Uncertainty: A Distribution-Based Strategy for Futures Markets Using FutureQuant Transformer
In the complex landscape of traditional futures trading, where vast data and variables like real-time Limit Order Books (LOB) complicate price predictions, we introduce the FutureQuant Transformer model, leveraging attention mechanisms to navigate these challenges. Unlike conventional models focused on point predictions, the FutureQuant model excels in forecasting the range and volatility of future prices, thus offering richer insights for trading strategies. Its ability to parse and learn from…

Certification of High-Dimensional Entanglement Within the Resource Theory of Buscemi Nonlocality
Xian Shi
https://arxiv.org/abs/2506.07195 https://

Certification of High-Dimensional Entanglement Within the Resource Theory of Buscemi Nonlocality
The study on the certification of high degree entanglement, which is quantified in terms of Schmidt number, attracts much attention recently. Drawing inspiration from the work [PRX QUANTUM 2, 020301 (2021)], we first introduce resource theories of distributed measurements and teleportation instruments generated by a bipartite mixed state. Next we quantitatively characterized the relations among the convex resource theories of distributed measurements, teleportation instruments, and bipartite mi…

British photographer, 60, shot by police at #LA riots. ”I had a press ID round my neck, a large camera, a video camera … I was making a point of making myself visible as media,” he told The Times.

British photographer, 60, shot by police at LA riots
Nick Stern said that he was covering the anti-ICE protest when what doctors believe to be a ‘sponge bullet’ hit his thigh

Impact of redshift distribution uncertainties on Lyman-break galaxy cosmological parameter inference
Francesco Petri, Boris Leistedt, Daniel J. Mortlock, Joel Leja, Stephen Thorp, Justin Alsing, Hiranya V. Peiris, Sinan Deger
https://arxiv.org/abs/2506.06475

Impact of redshift distribution uncertainties on Lyman-break galaxy cosmological parameter inference
A significant number of Lyman-break galaxies (LBGs) with redshifts 3 < z < 5 are expected to be observed by the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). This will enable us to probe the universe at higher redshifts than is currently possible with cosmological galaxy clustering and weak lensing surveys. However, accurate inference of cosmological parameters requires precise knowledge of the redshift distributions of selected galaxies, where the number of faint o…

On strong law of large numbers for non identically distributed random variables
I. V. Kozlov, A. Yu. Veretennikov
https://arxiv.org/abs/2506.07508 https://…

On strong law of large numbers for non identically distributed random variables
A new version of a strong law of large numbers for a ``good'' pairwise independent sequence of random variables (r.v.'s) with a small part of ``bad'' dependent r.v.'s is proposed. The main goal is to relax the assumption on the existence of the expectation for each summand: the members of an ``infrequent'' part of the whole sequence may have moments of orders converging to zero.

#EFF (Electronic Frontier Foundation) #Privacy Victory! Judge Grants Preliminary Injunction in #OPM / #DOGE Lawsuit.

Privacy Victory! Judge Grants Preliminary Injunction in OPM/DOGE Lawsuit
NEW YORK–In a victory for personal privacy, a New York federal district court judge today granted a preliminary injunction in a lawsuit challenging the U.S. Office of Personnel Management’s (OPM) disclosure of records to DOGE and its agents. Judge Denise L. Cote of the U.S. District Court for the...

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Muhammed Ustaomeroglu, Guannan Qu
https://arxiv.org/abs/2506.06179

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Self-attention has emerged as a core component of modern neural architectures, yet its theoretical underpinnings remain elusive. In this paper, we study self-attention through the lens of interacting entities, ranging from agents in multi-agent reinforcement learning to alleles in genetic sequences, and show that a single layer linear self-attention can efficiently represent, learn, and generalize functions capturing pairwise interactions, including out-of-distribution scenarios. Our analysis r…

Design Tradeoffs in Photonically Linked Qubit Networks
Ely Novakoski, Jungsang Kim
https://arxiv.org/abs/2506.06268 https://arxiv.org…

Design Tradeoffs in Photonically Linked Qubit Networks
Quantum networking can be realized by distributing pairs of entangled qubits between remote quantum processing nodes. Devoted communication qubits within each node can naturally interface with photons which bus quantum information between nodes. With the introduction of CQED to enhance interactions between communication qubits and photons, advanced protocols capable of achieving high entanglement distribution rates with high fidelity become feasible. In this paper, we consider two such protocol…