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Vegan Shopping Basket Saves Austrian Families €225 per Month, Study Shows https://vegconomist.com/studies-and-numbers/vegan-shopping-basket-saves-austrian-families-e225-per-month-study-shows/

Vegan Shopping Basket Saves Austrian Families €225 per Month, Study Shows - vegconomist - the vegan business magazine
A recent study conducted by the Institute for Organic Farming (FiBL) has provided new insight into the cost of various diets, revealing that a fully vegan

NASA’s Goddard Institute for Space Studies (GISS)
has been a small-but-mighty source of world-changing scientific research for more than a half-century.
NASA scientists first moved into the building,
which another federal agency leases from GISS’s institutional partner, Columbia University, in 1966.
Last month, at the behest of the Trump administration,
NASA officials told GISS it had to move out before the end of May.
In response, more than 100 staffer…

NASA’s Goddard Institute for Space Studies Faces Eviction under Trump Plan
Since 1966 NASA’s Goddard Institute for Space Studies has been at the forefront of Earth and planetary science from its location in upper Manhattan. Now a Trump administration directive is ejecting its scientists to parts unknown

Characterising Bugs in Jupyter Platform
Yutian Tang, Hongchen Cao, Yuxi Chen, David Lo
https://arxiv.org/abs/2506.14055 https://arxiv…

Characterising Bugs in Jupyter Platform
As a representative literate programming platform, Jupyter is widely adopted by developers, data analysts, and researchers for replication, data sharing, documentation, interactive data visualization, and more. Understanding the bugs in the Jupyter platform is essential for ensuring its correctness, security, and robustness. Previous studies focused on code reuse, restoration, and repair execution environment for Jupyter notebooks. However, the bugs in Jupyter notebooks' hosting platform Jupyte…

The Total Coloring Conjecture holds for planar graphs without three special subgraphs
Rongjin Su, Gang Fang, Enqiang Zhu
https://arxiv.org/abs/2507.12737 h…

The Total Coloring Conjecture holds for planar graphs without three special subgraphs
The Total Coloring Conjecture (TCC) for planar graphs with a maximum degree of six remains open. Previous studies suggest that TCC is valid for such graphs if they do not contain any subgraph isomorphic to a 4-fan. In this paper, we present an improved conclusion by establishing that TCC holds for planar graphs that are free of three particular substructures, namely the mushroom, the tent, and the cone. This advancement enhances previous findings by demonstrating that TCC is applicable to plana…

💡 Wie werden die Querverbindungen zwischen kulturellen Ressourcen in @… hergestellt?
🚀 Bei der #DH2025 in Lissabon zeigen unsere 4Culture-Kolleginnen @… und Linnaea Sö…

JAm It! Journal of American Studies in Italy #11 (General Issue) https://call-for-papers.sas.upenn.edu/cfp/2025/07/16/jam-it-journal-of-american-studies-in-italy-11-general-issue

WebXAII: an open-source web framework to study human-XAI interaction
Jules Leguy, Pierre-Antoine Jean, Felipe Torres Figueroa, S\'ebastien Harispe
https://arxiv.org/abs/2506.14777

WebXAII: an open-source web framework to study human-XAI interaction
This article introduces WebXAII, an open-source web framework designed to facilitate research on human interaction with eXplainable Artificial Intelligence (XAI) systems. The field of XAI is rapidly expanding, driven by the growing societal implications of the widespread adoption of AI (and in particular machine learning) across diverse applications. Researchers who study the interaction between humans and XAI techniques typically develop ad hoc interfaces in order to conduct their studies. The…

Refining the Notion of No Anticipation in Difference-in-Differences Studies
Marco Piccininni, Eric J. Tchetgen Tchetgen, Mats J. Stensrud
https://arxiv.org/abs/2507.12891

Refining the Notion of No Anticipation in Difference-in-Differences Studies
We address an ambiguity in identification strategies using difference-in-differences, which are widely applied in empirical research, particularly in economics. The assumption commonly referred to as the "no-anticipation assumption" states that treatment has no effect on outcomes before its implementation. However, because standard causal models rely on a temporal structure in which causes precede effects, such an assumption seems to be inherently satisfied. This raises the question of whether …

Urban RIS-Assisted HAP Networks: Performance Analysis Using Stochastic Geometry
Islam M. Tanash, Ayush Kumar Dwivedi, Taneli Riihonen
https://arxiv.org/abs/2506.15338

Urban RIS-Assisted HAP Networks: Performance Analysis Using Stochastic Geometry
This paper studies a high-altitude platform (HAP) network supported by reconfigurable intelligent surfaces (RISs). The practical irregular placement of HAPs and RISs is modeled using homogeneous Poisson point processes, while buildings that cause blockages in urban areas are modeled as a Boolean scheme of rectangles. We introduce a novel approach to characterize the statistical channel based on generalized Beta prime distribution. Analytical expressions for coverage probability and ergodic capa…

Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention
Syed Haider Ali, Asrar Ahmad, Muhammad Ali, Asifullah Khan, Muhammad Shahban, Nadeem Shaukat
https://arxiv.org/abs/2506.15562

Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention
Cancer is an abnormal growth with potential to invade locally and metastasize to distant organs. Accurate auto-segmentation of the tumor and surrounding normal tissues is required for radiotherapy treatment plan optimization. Recent AI-based segmentation models are generally trained on large public datasets, which lack the heterogeneity of local patient populations. While these studies advance AI-based medical image segmentation, research on local datasets is necessary to develop and integrate …

Targeted Mining of Time-Interval Related Patterns
Shuang Liang, Lili Chen, Wensheng Gan, Philip S. Yu, Shengjie Zhao
https://arxiv.org/abs/2507.12668 https…

Targeted Mining of Time-Interval Related Patterns
Compared to frequent pattern mining, sequential pattern mining emphasizes the temporal aspect and finds broad applications across various fields. However, numerous studies treat temporal events as single time points, neglecting their durations. Time-interval-related pattern (TIRP) mining is introduced to address this issue and has been applied to healthcare analytics, stock prediction, etc. Typically, mining all patterns is not only computationally challenging for accurate forecasting but also …

Generative Multi-Target Cross-Domain Recommendation
Jinqiu Jin, Yang Zhang, Junwei Pan, Fuli Feng, Hua Lu, Haijie Gu, Xiangnan He
https://arxiv.org/abs/2507.12871

Generative Multi-Target Cross-Domain Recommendation
Recently, there has been a surge of interest in Multi-Target Cross-Domain Recommendation (MTCDR), which aims to enhance recommendation performance across multiple domains simultaneously. Existing MTCDR methods primarily rely on domain-shared entities (\eg users or items) to fuse and transfer cross-domain knowledge, which may be unavailable in non-overlapped recommendation scenarios. Some studies model user preferences and item features as domain-sharable semantic representations, which can be u…

Stable Polynomials via Undirected Colored Graphs
Kelly Bickel, Yang Hong
https://arxiv.org/abs/2506.12624 https://arxiv.org/pdf/2506.…

Stable Polynomials via Undirected Colored Graphs
This paper initiates a systematic study of connections between undirected colored graphs and associated two-variable stable polynomials obtained via Cauchy transform-type formulas. Examples of such stable polynomials have played crucial roles in other recent studies, though their general properties have remained rather opaque. Using linear algebra techniques, this paper characterizes when these stable polynomials have boundary zeros and studies the finer behavior, called contact order, of their…

"World Chimpanzee Day: the strength — and fragility — of chimp memory"
#Chimpanzee #Animals

World Chimpanzee Day: the strength — and fragility — of chimp memory
The more we try to understand chimpanzees, one of our closest relatives, the more we find ourselves humbled by the richness and complexity of their lives — and of their intelligence. Today, on World Chimpanzee Day, we look back at some of the latest studies that reveal facets of these great apes’ long, powerful memories. […]

NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
Dzung Dinh, Boqi Chen, Marc Niethammer, Junier Oliva
https://arxiv.org/abs/2507.12412

NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data
In many critical applications, resource constraints limit the amount of information that can be gathered to make predictions. For example, in healthcare, patient data often spans diverse features ranging from lab tests to imaging studies. Each feature may carry different information and must be acquired at a respective cost of time, money, or risk to the patient. Moreover, temporal prediction tasks, where both instance features and labels evolve over time, introduce additional complexity in dec…

Superconductivity and inhomogeneous charge-ordered state in the two-Dimensional Hubbard model -- Off-Diagonal Wave Function Monte Carlo Studies of Hubbard Model IV
Takashi Yanagisawa
https://arxiv.org/abs/2506.12736

Superconductivity and inhomogeneous charge-ordered state in the two-Dimensional Hubbard model -- Off-Diagonal Wave Function Monte Carlo Studies of Hubbard Model IV
We investigate the ground-state properties of the two-dimensional Hubbard model, based on the off-diagonal wave function variational Monte Carlo method. We use an optimized wave function that is improved from an initial one-body wave function by multiplying by multiple correlation operators that are given by the form of exp($-S$)-type where $S$ is a suitable operator. We examine the inhomogeneous ground state at near 1/8 doping in the strongly correlated region where the on-site Coulomb interac…

Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
Hitomi Yanaka, Xinqi He, Jie Lu, Namgi Han, Sunjin Oh, Ryoma Kumon, Yuma Matsuoka, Katsuhiko Watabe, Yuko Itatsu
https://arxiv.org/abs/2506.12327

Intersectional Bias in Japanese Large Language Models from a Contextualized Perspective
An growing number of studies have examined the social bias of rapidly developed large language models (LLMs). Although most of these studies have focused on bias occurring in a single social attribute, research in social science has shown that social bias often occurs in the form of intersectionality -- the constitutive and contextualized perspective on bias aroused by social attributes. In this study, we construct the Japanese benchmark inter-JBBQ, designed to evaluate the intersectional bias …

TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
Kentaro Seki, Shinnosuke Takamichi, Takaaki Saeki, Hiroshi Saruwatari
https://arxiv.org/abs/2506.15614

TTSOps: A Closed-Loop Corpus Optimization Framework for Training Multi-Speaker TTS Models from Dark Data
This paper presents TTSOps, a fully automated closed-loop framework for constructing multi-speaker text-to-speech (TTS) systems from noisy, uncurated web-scale speech data, often referred to as ``dark data,'' such as online videos. Conventional TTS training pipelines require well-curated corpora with high acoustic quality and accurate text-speech alignment, which severely limits scalability, speaker diversity, and real-world applicability. While recent studies have proposed acoustic-quality-bas…

$B\rightarrow K \text{axion-like particles}$: effective versus UV-complete models and enhanced two-loop contributions
Xiyuan Gao, Ulrich Nierste
https://arxiv.org/abs/2506.14876

$B\rightarrow K + \text{axion-like particles}$: effective versus UV-complete models and enhanced two-loop contributions
An axion-like particle $a$ (ALP) can explain the excess of $B\rightarrow K + \text{invisible}$ events at Belle-II. However, many analyses of ALP scenarios are over-simplified. We revisit the $B\rightarrow K a$ transition rate in a popular minimal and UV complete model with two Higgs doublets (2HDM) and a complex singlet (DFSZ model). To this end we compare our results with previous studies which derived the $\overline{b}sa$ vertex from the $\overline{b}sA$ vertex, where $A$ is the heavy pseudo-…

Semiparametric Learning of Integral Functionals on Submanifolds
Xiaohong Chen, Wayne Yuan Gao
https://arxiv.org/abs/2507.12673 https://

Semiparametric Learning of Integral Functionals on Submanifolds
This paper studies the semiparametric estimation and inference of integral functionals on submanifolds, which arise naturally in a variety of econometric settings. For linear integral functionals on a regular submanifold, we show that the semiparametric plug-in estimator attains the minimax-optimal convergence rate $n^{-\frac{s}{2s+d-m}}$, where $s$ is the Hölder smoothness order of the underlying nonparametric function, $d$ is the dimension of the first-stage nonparametric estimation, $m$ is …

The study of electronic, structural, mechanical, and piezoelectric properties of bulk NbOX2 (X = Cl, Br, and I) using density functional theory
L. D. Tamang, B. Chettri, L. Celestine, R. Zosiamliana, S. Gurung, A. Laref, Shalika R. Bhandari, Tatyana Orlova, D. P. Rai
https://arxiv.org/abs/2506.15574

The study of electronic, structural, mechanical, and piezoelectric properties of bulk NbOX2 (X = Cl, Br, and I) using density functional theory
In this work, we have performed a comprehensive study of dielectric materials NbOX2 (X=Cl, Br, and I) within the framework of density functional theory, incorporating both conventional and hybrid functionals.Our studies focus on the structure, electronic, elastic, and piezoelectric properties. Piezoelectricity is an innovative avenue to extract energy by manipulating the material's structures via mechanical stress. The use of non-lead-based material for piezoelectricity added an advantage of a …

Polarization Studies of Black Widows PSRs B1957 20, J2055 3829 and J1544 4937
S. Q. Wang, N. Wang, S. Dai, G. Hobbs, R. Luo, J. B. Wang, A. Zic
https://arxiv.org/abs/2506.12272

Polarization Studies of Black Widows PSRs B1957+20, J2055+3829 and J1544+4937
We present an analysis of the polarization of three black widow pulsars, PSRs B1957+20, J2055+3829 and J1544+4937 at 1250\,MHz using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). Radio eclipses for PSRs B1957+20 and J2055+3829 are detected, while the radio emission for J1544+4937 is detected throughout the eclipse. We study the polarization and dispersion measure properties of the pulsars near and during the eclipse. The position angle of the linear polarization is observed …

Effect of Signal Quantization on Performance Measures of a 1st Order One Dimensional Differential Microphone Array
Shweta Pal, Arun Kumar, Monika Agrawal
https://arxiv.org/abs/2506.15463

Effect of Signal Quantization on Performance Measures of a 1st Order One Dimensional Differential Microphone Array
In practical systems, recorded analog signals must be digitized for processing, introducing quantization as a critical aspect of data acquisition. While prior studies have examined quantization effects in various signal processing contexts, its impact on differential microphone arrays (DMAs), particularly in one-dimensional (1D) first-order configurations, remains unexplored. This paper investigates the influence of signal quantization on performance of first-order 1D DMAs across various beampa…

MAD-Spear: A Conformity-Driven Prompt Injection Attack on Multi-Agent Debate Systems
Yu Cui, Hongyang Du
https://arxiv.org/abs/2507.13038 https://

MAD-Spear: A Conformity-Driven Prompt Injection Attack on Multi-Agent Debate Systems
Multi-agent debate (MAD) systems leverage collaborative interactions among large language models (LLMs) agents to improve reasoning capabilities. While recent studies have focused on increasing the accuracy and scalability of MAD systems, their security vulnerabilities have received limited attention. In this work, we introduce MAD-Spear, a targeted prompt injection attack that compromises a small subset of agents but significantly disrupts the overall MAD process. Manipulated agents produce mu…

Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
Kazuto Fukuchi
https://arxiv.org/abs/2506.13947 https://

Meta Optimality for Demographic Parity Constrained Regression via Post-Processing
We address the regression problem under the constraint of demographic parity, a commonly used fairness definition. Recent studies have revealed fair minimax optimal regression algorithms, the most accurate algorithms that adhere to the fairness constraint. However, these analyses are tightly coupled with specific data generation models. In this paper, we provide meta-theorems that can be applied to various situations to validate the fair minimax optimality of the corresponding regression algori…

Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
Muhammad Fadhil Ginting, Dong-Ki Kim, Xiangyun Meng, Andrzej Reinke, Bandi Jai Krishna, Navid Kayhani, Oriana Peltzer, David D. Fan, Amirreza Shaban, Sung-Kyun Kim, Mykel J. Kochenderfer, Ali-akbar Agha-mohammadi, Shayegan Omidshafiei
https://

Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
As robots become increasingly capable of operating over extended periods -- spanning days, weeks, and even months -- they are expected to accumulate knowledge of their environments and leverage this experience to assist humans more effectively. This paper studies the problem of Long-term Active Embodied Question Answering (LA-EQA), a new task in which a robot must both recall past experiences and actively explore its environment to answer complex, temporally-grounded questions. Unlike tradition…

LECTURE> MU-CRS Seminar with Prof. Ujjwal Kumar
https://ift.tt/2v7Ob83
When did aliens become a problem? The Mediterranean Association for Marine Biology and Oceanology in…
via Input 4 RELCFP

Fast Consensus over Almost Regular Directed Graphs
Susie Lu, Marco Gamarra, Ji Liu
https://arxiv.org/abs/2507.12726 https://arxiv.org…

Fast Consensus over Almost Regular Directed Graphs
This paper studies an open consensus network design problem: identifying the optimal simple directed graphs, given a fixed number of vertices and arcs, that maximize the second smallest real part of all Laplacian eigenvalues, referred to as algebraic connectivity. For sparse and dense graphs, the class of all optimal directed graphs that maximize algebraic connectivity is theoretically identified, leading to the fastest consensus. For general graphs, a computationally efficient sequence of almo…

Complex non-backtracking matrix for directed graphs
Keishi Sando, Hideitsu Hino
https://arxiv.org/abs/2507.12503 https://arxiv.org/pd…

Complex non-backtracking matrix for directed graphs
Graph representation matrices are essential tools in graph data analysis. Recently, Hermitian adjacency matrices have been proposed to investigate directed graph structures. Previous studies have demonstrated that these matrices can extract valuable information for clustering. In this paper, we propose the complex non-backtracking matrix that integrates the properties of the Hermitian adjacency matrix and the non-backtracking matrix. The proposed matrix has similar properties with the non-backt…

Solar Chromospheric Network as a Source for Solar Wind Switchbacks
Jeongwoo Lee, Vasyl Yurchyshyn, Haimin Wang, Xu Yang, Wenda Cao, Juan Carlos Martinez Oliveros
https://arxiv.org/abs/2507.12660

Solar Chromospheric Network as a Source for Solar Wind Switchbacks
Recent studies suggest that the magnetic switchbacks (SBs) detected by the Parker Solar Probe (PSP) carry information on the scales of solar supergranulation (large scale) and granulation (medium scale). We test this claim using high-resolution H-alpha images obtained with the visible spectro-polarimeters (VIS) of the Goode Solar Telescope (GST) in Big Bear Solar Observatory (BBSO). As possible solar sources, we count all the spicule-like features standing along the chromospheric networks near …

Trump Seeks to Cut Basic Scientific Research by Roughly One-Third,
An analysis by the American Association for the Advancement of Science
shows the impact of the administration’s budget plan on the kind of studies that produce the most breakthroughs.
https://…

Large-Scale Study Links Healthy Plant-Based Diet to Reduced Risk of IBD https://vegconomist.com/studies-and-numbers/large-scale-study-links-healthy-plant-based-diet-reduced-risk-ibd/

Large-Scale Study Links Healthy Plant-Based Diet to Reduced Risk of IBD - vegconomist - the vegan business magazine
A large cohort study involving more than 143,000 UK participants has found that a healthy plant-based diet may reduce the risk of developing inflammatory

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
Anton Changalidis, Aki H\"arm\"a
https://arxiv.org/abs/2506.14704

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
This paper studies how the model architecture and data configurations influence the empirical memorization capacity of generative transformers. The models are trained using synthetic text datasets derived from the Systematized Nomenclature of Medicine (SNOMED) knowledge graph: triplets, representing static connections, and sequences, simulating complex relation patterns. The results show that embedding size is the primary determinant of learning speed and capacity, while additional layers provi…

Transforming Football Data into Object-centric Event Logs with Spatial Context Information
Vito Chan, Lennart Ebert, Paul-Julius Hillmann, Christoffer Rubensson, Stephan A. Fahrenkrog-Petersen, Jan Mendling
https://arxiv.org/abs/2507.12504

Transforming Football Data into Object-centric Event Logs with Spatial Context Information
Object-centric event logs expand the conventional single-case notion event log by considering multiple objects, allowing for the analysis of more complex and realistic process behavior. However, the number of real-world object-centric event logs remains limited, and further studies are needed to test their usefulness. The increasing availability of data from team sports can facilitate object-centric process mining, leveraging both real-world data and suitable use cases. In this paper, we presen…

A simplified and robust proxy-based approach for overcoming unmeasured confounding in EHR studies
Haley Colgate Kottler, Amy Cochran
https://arxiv.org/abs/2506.12177

A simplified and robust proxy-based approach for overcoming unmeasured confounding in EHR studies
Electronic health records (EHR) are used to study treatment effects in clinical settings, yet unmeasured confounding remains a persistent challenge. Indirect measurements of the unmeasured confounder (proxies) offer a potential solution, but existing approaches -- such as proximal inference or full joint modeling -- can be difficult to implement. We propose a two-stage, proxy-based method that is practical, broadly applicable, and robust. In the first stage, we apply factor analysis to proxy an…

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
https://arxiv.org/abs/2506.12340

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Large vision-language models (LVLMs) have demonstrated outstanding performance in many downstream tasks. However, LVLMs are trained on large-scale datasets, which can pose privacy risks if training images contain sensitive information. Therefore, it is important to detect whether an image is used to train the LVLM. Recent studies have investigated membership inference attacks (MIAs) against LVLMs, including detecting image-text pairs and single-modality content. In this work, we focus on detect…

StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery
Jina Kim, Leeje Jang, Yao-Yi Chiang, Guanyu Wang, Michelle Pasco
https://arxiv.org/abs/2506.14670

StreetLens: Enabling Human-Centered AI Agents for Neighborhood Assessment from Street View Imagery
Traditionally, neighborhood studies have employed interviews, surveys, and manual image annotation guided by detailed protocols to identify environmental characteristics, including physical disorder, decay, street safety, and sociocultural symbols, and to examine their impact on developmental and health outcomes. While these methods yield rich insights, they are time-consuming and require intensive expert intervention. Recent technological advances, including vision-language models (VLMs), have…

LaViPlan : Language-Guided Visual Path Planning with RLVR
Hayeon Oh
https://arxiv.org/abs/2507.12911 https://arxiv.org/pdf/2507.12911…

LaViPlan : Language-Guided Visual Path Planning with RLVR
Out-of-distribution (OOD) scenarios in autonomous driving refer to situations that deviate from the training domain, often leading to unexpected and potentially hazardous behavior from planners that lack prior exposure to such cases. Recently, Vision-Language Models (VLMs) have been introduced into autonomous driving research for their promising generalization capabilities in OOD settings. Early studies demonstrated that VLMs could recognize OOD scenarios and generate user-level decisions such …

Stochastic Weakly Convex Optimization Under Heavy-Tailed Noises
Tianxi Zhu, Yi Xu, Xiangyang Ji
https://arxiv.org/abs/2507.13283 https://

Stochastic Weakly Convex Optimization Under Heavy-Tailed Noises
An increasing number of studies have focused on stochastic first-order methods (SFOMs) under heavy-tailed gradient noises, which have been observed in the training of practical deep learning models. In this paper, we focus on two types of gradient noises: one is sub-Weibull noise, and the other is noise under the assumption that it has a bounded $p$-th central moment ($p$-BCM) with $p\in (1, 2]$. The latter is more challenging due to the occurrence of infinite variance when $p\in (1, 2)$. Under…

QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
Jiazheng Li, Hong Lu, Kaiyue Wen, Zaiwen Yang, Jiaxuan Gao, Hongzhou Lin, Yi Wu, Jingzhao Zhang
https://arxiv.org/abs/2507.13266

QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
Reinforcement learning (RL) has become a key component in training large language reasoning models (LLMs). However, recent studies questions its effectiveness in improving multi-step reasoning-particularly on hard problems. To address this challenge, we propose a simple yet effective strategy via Question Augmentation: introduce partial solutions during training to reduce problem difficulty and provide more informative learning signals. Our method, QuestA, when applied during RL training on mat…

Study of the beyond standard model interaction using Coherent Elastic Neutrino-Nucleus Scattering process
S. P. Behera, S. Panda, D. K. Mishra
https://arxiv.org/abs/2506.14443

Study of the beyond standard model interaction using Coherent Elastic Neutrino-Nucleus Scattering process
Phenomenological studies are carried out to find the potential reach of a detector to constraints on possible beyond the standard model general neutrino interactions in the neutrino-quark sector, for the proposed Indian Coherent Neutrino-nucleus Scattering Experiment (ICNSE) at the Bhabha Atomic Research Centre in India. Reactors of different core configuration and power are used as sources of electron antineutrinos. The study has been carried out considering a target mass of 10 kg and an expos…

CFP : International Journal of Humanities, Art and Social Studies
https://ift.tt/UJivaxw
updated: Wednesday, June 18, 2025 - 11:14pmfull name / name of organization: Northeast Modern…
via Input 4 RELCFP

Manipulated Regions Localization For Partially Deepfake Audio: A Survey
Jiayi He, Jiangyan Yi, Jianhua Tao, Siding Zeng, Hao Gu
https://arxiv.org/abs/2506.14396

Manipulated Regions Localization For Partially Deepfake Audio: A Survey
With the development of audio deepfake techniques, attacks with partially deepfake audio are beginning to rise. Compared to fully deepfake, it is much harder to be identified by the detector due to the partially cryptic manipulation, resulting in higher security risks. Although some studies have been launched, there is no comprehensive review to systematically introduce the current situations and development trends for addressing this issue. Thus, in this survey, we are the first to outline a s…

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
Xiang Cheng, Chengyan Pan, Minjun Zhao, Deyang Li, Fangchao Liu, Xinyu Zhang, Xiao Zhang, Yong Liu
https://arxiv.org/abs/2506.14641

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
In-Context Learning (ICL) is an essential emergent ability of Large Language Models (LLMs), and recent studies introduce Chain-of-Thought (CoT) to exemplars of ICL to enhance the reasoning capability, especially in mathematics tasks. However, given the continuous advancement of model capabilities, it remains unclear whether CoT exemplars still benefit recent, stronger models in such tasks. Through systematic experiments, we find that for recent strong models such as the Qwen2.5 series, adding t…

Panel: On the Path of Joan of Arc: Tracing Johannic Itineraries through Art, War, and Tourism (Panel at International Conference for Medieval Studies in Kalamazoo, MI)
https://ift.tt/DelXu3H
updated: Friday, July 18, 2025 - 7:15amfull name / name of organization: International Joan of Arc…
via Input 4…

Beamforming Tradeoff for Sensing and Communication in Cell-Free MIMO
Xi Ding, Luca Kunz, E. Jorswieck
https://arxiv.org/abs/2507.12917 https://

Beamforming Tradeoff for Sensing and Communication in Cell-Free MIMO
This paper studies optimal joint beamforming (BF) for joint sensing and communication (JSAC) in small-scale cell-free MIMO (CF-MIMO) systems. While prior works have explored JSAC optimization using methods such as successive convex approximation (SCA) and semidefinite relaxation (SDR), many of these approaches either lack global optimality or require additional rank-reduction steps. In contrast, we propose an SDR-based optimization framework that guarantees globally optimal solutions without po…

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
Matthias Monnereau, Ana Jarne, Axel Benoist, Cl\'emence Fradet, Maurice Perol, Thomas Filleron, Louise Baschet
https://arxiv.org/abs/2506.11587

Methodological Advances and Challenges in Indirect Treatment Comparisons: A Review of International Guidelines and HAS TC Case Studies
To evaluate methodological challenges and regulatory considerations of indirect treatment comparisons (ITCs) with the analysis of international health technology assessment guidelines and French Transparency Committee (TC) decisions. We conducted a pragmatic review of ITC guidelines from major health technology assessment (HTA) bodies and multistakeholder organizations. Then, we analyzed TC opinions published between 2021-2023. We extracted data on ITC methodology, therapeutic areas, acceptabil…

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
Yilun Zhao, Weiyuan Chen, Zhijian Xu, Manasi Patwardhan, Yixin Liu, Chengye Wang, Lovekesh Vig, Arman Cohan
https://arxiv.org/abs/2507.13300

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
We introduce AbGen, the first benchmark designed to evaluate the capabilities of LLMs in designing ablation studies for scientific research. AbGen consists of 1,500 expert-annotated examples derived from 807 NLP papers. In this benchmark, LLMs are tasked with generating detailed ablation study designs for a specified module or process based on the given research context. Our evaluation of leading LLMs, such as DeepSeek-R1-0528 and o4-mini, highlights a significant performance gap between these …

How Not to Be a Misogynist: Un/Intentional Sexism in Early Modern Studies
https://ift.tt/INGbYug
updated: Wednesday, June 18, 2025 - 5:56amfull name / name of organization: Lilly Berberyan & Jess…
via Input 4 RELCFP

Deep-Inelastic Scattering at TeV Energies with LHC Muons
Reinaldo Francener, Victor P. Goncalves, Felix Kling, Peter Krack, Juan Rojo
https://arxiv.org/abs/2506.13889

Deep-Inelastic Scattering at TeV Energies with LHC Muons
The LHC far-forward experiments FASER and SND@LHC have pioneered the detection of TeV-energy neutrinos produced in hard-scattering proton-proton collisions at the LHC. In addition to neutrinos, an intense flux of TeV-energy muons reaches these detectors, representing a dominant background for both neutrino studies and beyond the Standard Model searches. Here we demonstrate that this forward muon flux enables a comprehensive neutral-current deep-inelastic scattering (DIS) program at FASER with a…

How Not to Be a Misogynist: Un/Intentional Sexism in Early Modern Studies
https://ift.tt/INGbYug
updated: Wednesday, June 18, 2025 - 5:56amfull name / name of organization: Lilly Berberyan & Jess…
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The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Zhouqi Hua, Wenwei Zhang, Chengqi Lyu, Yuzhe Gu, Songyang Gao, Kuikun Liu, Kai Chen
https://arxiv.org/abs/2507.13332

The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner
Length generalization, the ability to solve problems of longer sequences than those observed during training, poses a core challenge of Transformer-based large language models (LLM). Although existing studies have predominantly focused on data-driven approaches for arithmetic operations and symbolic manipulation tasks, these approaches tend to be task-specific with limited overall performance. To pursue a more general solution, this paper focuses on a broader case of reasoning problems that are…

Call for Proposals for a Special Issue of Texas Studies in Literature and Language (TSLL)
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updated: Thursday, July 17, 2025 - 10:54amfull name / name of organization: Texas Studies in…
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Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
Michael A. Lepori, Jennifer Hu, Ishita Dasgupta, Roma Patel, Thomas Serre, Ellie Pavlick
https://arxiv.org/abs/2507.12553

Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility
Language models (LMs) are used for a diverse range of tasks, from question answering to writing fantastical stories. In order to reliably accomplish these tasks, LMs must be able to discern the modal category of a sentence (i.e., whether it describes something that is possible, impossible, completely nonsensical, etc.). However, recent studies have called into question the ability of LMs to categorize sentences according to modality (Michaelov et al., 2025; Kauf et al., 2023). In this work, we …

Call for Proposals for a Special Issue of Texas Studies in Literature and Language (TSLL)
https://ift.tt/uG2JxoX
updated: Thursday, July 17, 2025 - 10:54amfull name / name of organization: Texas Studies in…
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A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
Lu Xiang, Yang Zhao, Yaping Zhang, Chengqing Zong
https://arxiv.org/abs/2507.08425

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities
Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic understanding of their integration into diverse disciplines remains underexplored. This survey paper provides a comprehensive overview of the application of LLMs in interdisciplinary studies, categorising research efforts from both a technical perspective and with reg…

CFP> Book Reviews for the Journal of Buddhist Ethics
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REPOSTING: Lecture by Wiebke Denecke (MIT) on ‘How Can We Leverage Our Cultural Wiring Around Nature…
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Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
Meysam Alizadeh, Fabrizio Gilardi, Zeynab Samei, Mohsen Mosleh
https://arxiv.org/abs/2507.12372

Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics
Large language models (LLMs) have traditionally relied on static training data, limiting their knowledge to fixed snapshots. Recent advancements, however, have equipped LLMs with web browsing capabilities, enabling real time information retrieval and multi step reasoning over live web content. While prior studies have demonstrated LLMs ability to access and analyze websites, their capacity to directly retrieve and analyze social media data remains unexplored. Here, we evaluate whether web brows…

JAm It! Journal of American Studies in Italy #11 (General Issue)
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updated: Thursday, July 17, 2025 - 10:55amfull name / name of organization: JAm It! Journal of…
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JAm It! Journal of American Studies in Italy #11 (General Issue)
https://ift.tt/0pRFivZ
updated: Thursday, July 17, 2025 - 10:55amfull name / name of organization: JAm It! Journal of…
via Input 4 RELCFP