Tootfinder

Dear Leader has a very North Korean vibe going...
Trump Officials Demand George Mason’s President Apologize Over Diversity - The New York Times
https://www.nytimes.com/2025/08/22/us/george-mason-president-diversity-investigation.html

Virginia Candidates Show You Can Try to Kill DEI, But You'll Fail (Jill Lawrence/The Bulwark)
https://www.thebulwark.com/p/virginia-candidates-dei-diversity-maga-racism
http://www.memeorandum.com/250623/p20#a250623p20

Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion
Anjith George, Sebastien Marcel
https://arxiv.org/abs/2507.16790 https://…

Enhancing Domain Diversity in Synthetic Data Face Recognition with Dataset Fusion
While the accuracy of face recognition systems has improved significantly in recent years, the datasets used to train these models are often collected through web crawling without the explicit consent of users, raising ethical and privacy concerns. To address this, many recent approaches have explored the use of synthetic data for training face recognition models. However, these models typically underperform compared to those trained on real-world data. A common limitation is that a single gene…

Rethinking Ecological Measures Of Functional Diversity
Ines Meraoumia, Adji Bousso Dieng
https://arxiv.org/abs/2506.17839 https://arx…

Rethinking Ecological Measures Of Functional Diversity
Understanding functional diversity, the range and variability of species' roles and actions within their communities, is key to predicting and preserving the functions that sustain both nature and human well-being. In this paper, we provide a comprehensive review of the literature on functional diversity measurement. We begin by consolidating essential criteria that effective measures of functional diversity should meet. We then evaluate fifteen widely used functional diversity metrics against …

Trump claimed that Joe Biden had “established toxic diversity, equity and inclusion ideology as a guiding principle of American AI development”.
“But the American people do not want woke Marxist lunacy in the AI models,” Trump said
Trump told assembled industry leaders that he wants them to “change the name” of artificial intelligence
and that they should not be forced to pay the authors of articles or books they use to train their large language models

«Alan Turing Institute scraps diversity drive under pressure from ministers»
Funny change in tune for an institute that was named after a person that was basically killed by the UK government for being gay. 🤷
https://archive.ph/JkOgI#selection-2204.0-2204.1

A Common Origin of Normal Type Ia Supernovae Suggested by the Photometric Diversity
Weiyu Wu, Ji-an Jiang, Dezheng Meng, Zelin Xu, Keiichi Maeda, Mamoru Doi, Ken'ichi Nomoto, Naoki Yasuda, Masaomi Tanaka, Toshikazu Shigeyama, Nozomu Tominaga, \v{Z}eljko Ivezi\'c, Peter Yoachim, Saurabh W. Jha, Tinggui Wang, Nao Suzuki, Hisanori Furusawa, Andrew J. Connolly, Satoshi Miyazaki

A Common Origin of Normal Type Ia Supernovae Suggested by the Photometric Diversity
In recent years, with an increasing number of type Ia supernovae (SNe Ia) discovered soon after their explosions, a non-negligible fraction of SNe Ia with early-excess emissions (EExSNe Ia) have been confirmed. In this letter, we present a total of \textbf{67} early-phase normal SNe Ia from published papers and ongoing transient survey projects to systematically investigate their photometric behaviors from very early time. We found that EExSNe Ia in our sample have longer rise and brighter peak…

The JWST/AURORA Survey: Multiple Balmer and Paschen Emission Lines for Individual Star-forming Galaxies at z=1.5-4.4. I. A Diversity of Nebular Attenuation Curves and Evidence for Non-Unity Dust Covering Fractions
Naveen A. Reddy, Alice E. Shapley, Ryan L. Sanders, Michael W. Topping, Richard S. Ellis, Max Pettini, Gabriel Brammer, Fergus Cullen, Natascha M. Forster Schreiber, Ali A. Khostovan, Derek J. McLeod, Ross J. McLure, Desika Narayanan, Pascal A. Oesch, Anthony J. Pahl, Charles…

The JWST/AURORA Survey: Multiple Balmer and Paschen Emission Lines for Individual Star-forming Galaxies at z=1.5-4.4. I. A Diversity of Nebular Attenuation Curves and Evidence for Non-Unity Dust Covering Fractions
We present the nebular attenuation curves and dust covering fractions for 24 redshift z=1.5-4.4 star-forming galaxies using multiple Balmer and Paschen lines from the JWST/AURORA survey. Nebular reddening derived from Paschen lines exceeds that from Balmer lines for at least half the galaxies in the sample when assuming the commonly-adopted Galactic extinction curve, implying the presence of optically-thick star formation. The nebular attenuation curves exhibit a broad range of normalizations (…

BugScope: Learn to Find Bugs Like Human
Jinyao Guo, Chengpeng Wang, Dominic Deluca, Jinjie Liu, Zhuo Zhang, Xiangyu Zhang
https://arxiv.org/abs/2507.15671 …

BugScope: Learn to Find Bugs Like Human
Detecting software bugs remains a fundamental challenge due to the extensive diversity of real-world defects. Traditional static analysis tools often rely on symbolic workflows, which restrict their coverage and hinder adaptability to customized bugs with diverse anti-patterns. While recent advances incorporate large language models (LLMs) to enhance bug detection, these methods continue to struggle with sophisticated bugs and typically operate within limited analysis contexts. To address these…

Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms
Kaushik Kulkarni, Andreas Kl\"ockner
https://arxiv.org/abs/2506.17471

Code Generation for Near-Roofline Finite Element Actions on GPUs from Symbolic Variational Forms
We present a novel parallelization strategy for evaluating Finite Element Method (FEM) variational forms on GPUs, focusing on those that are expressible through the Unified Form Language (UFL) on simplex meshes. We base our approach on code transformations, wherein we construct a space of scheduling candidates and rank them via a heuristic cost model to effectively handle the large diversity of computational workloads that can be expressed in this way. We present a design of a search space to w…

Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE
Hardy, Sebastian Pad\'o, Amelie W\"uhrl, Tanise Ceron
https://arxiv.org/abs/2508.13978

Democratizing News Recommenders: Modeling Multiple Perspectives for News Candidate Generation with VQ-VAE
Current News Recommender Systems based on past clicks are designed for engagement, but come at the cost of limiting diversity in the suggested content. While diversity-aware algorithms exist, they suffer from two major limitations. First, they fail to account for normative diversity, which requires fair access to a broad range of perspectives. Second, they typically apply diversity late in the system's pipeline, after a lot of content has already been filtered out. Both limitations confine thei…

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Haoneng Lin, Cheng Xu, Jing Qin
https://arxiv.org/abs/2506.18378 https://

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Modern Vision-Language Models (VLMs) exhibit unprecedented capabilities in cross-modal semantic understanding between visual and textual modalities. Given the intrinsic need for multi-modal integration in clinical applications, VLMs have emerged as a promising solution for a wide range of medical image analysis tasks. However, adapting general-purpose VLMs to medical domain poses numerous challenges, such as large domain gaps, complicated pathological variations, and diversity and uniqueness of…

Link Priority Buffer-Aided Relay Selection with Energy Storage from Energy Harvest
Mohammad Alkhawatrah, Yu Gong, Chong Huang, Gaojie Chen
https://arxiv.org/abs/2506.15839

Link Priority Buffer-Aided Relay Selection with Energy Storage from Energy Harvest
This paper proposes a novel relay selection scheme for buffer-aided wireless networks with relays equipped with both data buffers and energy storage. While buffer-aided relay networks have demonstrated significantly improved performance, energy harvesting has become an attractive solution in many wireless systems, garnering considerable attention when applied to buffer-aided relay networks. It is known that state-dependent selection rules must be used to achieve full diversity order in buffer-a…

Secular Resonances in Planet-Hosting Binary Stars. I. General Theory
Nader Haghighipour, Michael Andrew
https://arxiv.org/abs/2507.17092 https://

Secular Resonances in Planet-Hosting Binary Stars. I. General Theory
Motivated by the diversity of circumstellar planets in binary stars and the strong effects of the secular resonances of Jupiter and Saturn on the formation and architecture of the inner solar system, we have launched an expansive project on studying the effects of secular resonances on the formation of terrestrial planets around a star of a moderately close binary. As the first phase of our project, we present here the general theory of secular resonances in dual-star systems where the primary …

DiCriTest: Testing Scenario Generation for Decision-Making Agents Considering Diversity and Criticality
Qitong Chu, Yufeng Yue, Danya Yao, Huaxin Pei
https://arxiv.org/abs/2508.11514

DiCriTest: Testing Scenario Generation for Decision-Making Agents Considering Diversity and Criticality
The growing deployment of decision-making agents in dynamic environments increases the demand for safety verification. While critical testing scenario generation has emerged as an appealing verification methodology, effectively balancing diversity and criticality remains a key challenge for existing methods, particularly due to local optima entrapment in high-dimensional scenario spaces. To address this limitation, we propose a dual-space guided testing framework that coordinates scenario param…

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning
Jiawen Xu, Odej Kao
https://arxiv.org/abs/2508.13005 https://

Empirical Evidences for the Effects of Feature Diversity in Open Set Recognition and Continual Learning
Open set recognition (OSR) and continual learning are two critical challenges in machine learning, focusing respectively on detecting novel classes at inference time and updating models to incorporate the new classes. While many recent approaches have addressed these problems, particularly OSR, by heuristically promoting feature diversity, few studies have directly examined the role that feature diversity plays in tackling them. In this work, we provide empirical evidence that enhancing feature…

"#Diversity Game für Lehrpersonal: Lernspiel für schwierige Gesprächssituationen mit Studierenden" der Universität des Saarlandes:
https://www.uni-saarland.de/aktuell/divers

Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
Aditya Sengar, Ali Hariri, Daniel Probst, Patrick Barth, Pierre Vandergheynst
https://arxiv.org/abs/2506.17064

Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
Generating diverse, all-atom conformational ensembles of dynamic proteins such as G-protein-coupled receptors (GPCRs) is critical for understanding their function, yet most generative models simplify atomic detail or ignore conformational diversity altogether. We present latent diffusion for full protein generation (LD-FPG), a framework that constructs complete all-atom protein structures, including every side-chain heavy atom, directly from molecular dynamics (MD) trajectories. LD-FPG employs …

The Price of Diversity of the Traveling Salesman Problem
Mark de Berg, Andr\'es L\'opez Mart\'inez, Frits Spieksma
https://arxiv.org/abs/2507.13026

The Price of Diversity of the Traveling Salesman Problem
This paper introduces the concept of the "Price of Diversity" (PoD) in discrete optimization problems, quantifying the trade-off between solution diversity and cost. For a minimization problem, the PoD is defined as the worst-case ratio, over all instances, of the minimum achievable cost of a diverse set of $k$ solutions to the cost of a single optimal solution for the same instance. Here, the cost of a $k$-solution set is determined by the most expensive solution within the set. Focusing on th…

PuzzleClone: An SMT-Powered Framework for Synthesizing Verifiable Data
Kai Xiong, Yanwei Huang, Rongjunchen Zhang, Kun Chen, Haipang Wu
https://arxiv.org/abs/2508.15180 https://…

PuzzleClone: An SMT-Powered Framework for Synthesizing Verifiable Data
High-quality mathematical and logical datasets with verifiable answers are essential for strengthening the reasoning capabilities of large language models (LLMs). While recent data augmentation techniques have facilitated the creation of large-scale benchmarks, existing LLM-generated datasets often suffer from limited reliability, diversity, and scalability. To address these challenges, we introduce PuzzleClone, a formal framework for synthesizing verifiable data at scale using Satisfiability M…

Moderate deviation principle for plug-in estimators of diversity indices on countable alphabets
Zhenhong Yu, Yu Miao
https://arxiv.org/abs/2508.12382 https://

Moderate deviation principle for plug-in estimators of diversity indices on countable alphabets
In the present paper, we consider the moderate deviation principle for the plug-in estimators of a large class of diversity indices on countable alphabets, where the distribution may change with the sample size. Our results cover some of the most commonly used indices, including Tsallis entropy, Reńyi entropy and Hill diversity number.

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
Hongzhou Rao, Yanjie Zhao, Wenjie Zhu, Ling Xiao, Meizhen Wang, Haoyu Wang
https://arxiv.org/abs/2506.17627

CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
Concerns about benchmark leakage in large language models for code (Code LLMs) have raised issues of data contamination and inflated evaluation metrics. The diversity and inaccessibility of many training datasets make it difficult to prevent data leakage entirely, even with time lag strategies. Consequently, generating new datasets through code perturbation has become essential. However, existing methods often fail to produce complex and diverse variations, struggle with complex cross-file depe…

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models
Zhengyang Shan, Emily Ruth Diana, Jiawei Zhou
https://arxiv.org/abs/2506.15568

Gender Inclusivity Fairness Index (GIFI): A Multilevel Framework for Evaluating Gender Diversity in Large Language Models
We present a comprehensive evaluation of gender fairness in large language models (LLMs), focusing on their ability to handle both binary and non-binary genders. While previous studies primarily focus on binary gender distinctions, we introduce the Gender Inclusivity Fairness Index (GIFI), a novel and comprehensive metric that quantifies the diverse gender inclusivity of LLMs. GIFI consists of a wide range of evaluations at different levels, from simply probing the model with respect to provide…

During the Browser Wars, I met this gasbag who was a middling, wannabe PoS then & he's an even bigger entitled, racist PoS now.
Think Larry Ellison but more slimy.
☑️ Tech billionaire Trump adviser Marc Andreessen says universities will ‘pay the price’ for DEI
https://www.

Tech billionaire Trump adviser Marc Andreessen says universities will ‘pay the price’ for DEI
Tech investor and Trump adviser Marc Andreessen in a private group chat attacked colleges for promoting diversity, saying they had discriminated against “native born kids.”

CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models
Catherine Glossop, William Chen, Arjun Bhorkar, Dhruv Shah, Sergey Levine
https://arxiv.org/abs/2508.13446

CAST: Counterfactual Labels Improve Instruction Following in Vision-Language-Action Models
Generalist robots should be able to understand and follow user instructions, but current vision-language-action (VLA) models struggle with following fine-grained commands despite providing a powerful architecture for mapping open-vocabulary natural language instructions to robot actions. One cause for this is a lack of semantic diversity and language grounding in existing robot datasets and, specifically, a lack of fine-grained task diversity for similar observations. To address this, we presen…

https://www.newscientist.com/article/mg26735551-500-enchanting-photos-of-bizarre-mushrooms-showcase-fungi-diversity/

Enchanting photos of 'bizarre' mushrooms showcase fungi diversity
From squat toadstools to web-like mushrooms, images from Funga Obscura celebrate some of the most striking fungi on our planet

Diversity in Hydrogen-rich Envelope Mass of Type II Supernovae. (III). The mass-loss and evolutionary pathways of the red supergiant progenitors
Qiliang Fang, Takashi J. Moriya, Keiichi Maeda, Andris Dorozsmai, Javier Silva-Farf\'an
https://arxiv.org/abs/2507.14665

Diversity in Hydrogen-rich Envelope Mass of Type II Supernovae. (III). The mass-loss and evolutionary pathways of the red supergiant progenitors
We present a comprehensive analysis of 32 type II supernovae (SNe II) with plateau phase photometry and late phase ($nebular$) spectroscopy available, aiming to bridge the gap between the surface and core of their red supergiant (RSG) progenitors. Using \texttt{MESA}\,+\texttt{STELLA}, we compute an extensive grid of SN II light curve models originating from RSG with effective temperatures $T_{\rm eff}$ around 3650\,K and hydrogen-rich envelopes artificially stripped to varying degrees. These m…

Bird Twin: Research Group Leader (f/m/x) for Developing Models of Bird Diversity and Policy-relevant Applications in Germany at UFZ, Germany
#ecoevojobs #ecologyjobs #xp

And just to be 100% clear, #LosAngeles is nailing it. Massive peaceful protests are great. That's absolutely unequivocally a good thing. So are burning cop cars. Diversity of tactics is critical.
Escalating radically at a protest with kids and grandmas is a shit thing to do. Don't do that unless it's absolutely necessary. Having kids and grandmas out protesting is important. Having them peacefully block vehicles with their bodies or occupy ICE facilitates *is* a strong thing. That is real. That's not virtue signaling, it does something... And sometimes that isn't enough. Sometimes things *need* to escalate to save people.
Diversity is good. Don't break the diversity of tactics *either way*. #LA seems to be doing a pretty good job right now or holding that balance. I hope to see more of that in every city.

Quantum MIMO Diversity over Discrete-Variable Crosstalk Channels
Shehbaz Tariq, Junaid ur Rehman, Symeon Chatzinotas
https://arxiv.org/abs/2508.07344 https://

Quantum MIMO Diversity over Discrete-Variable Crosstalk Channels
Quantum communication plays a pivotal role in enabling distributed quantum computing and sensing. Diversity strategies can be used to increase the communication reliability (in the sense of output fidelity with respect to the input quantum state) when multiple communication channels are available. The current paper proposes a diversity strategy for quantum discrete variable (DV) multiple-input-multiple-output (MIMO) channels, utilizing approximate cloning to distribute information across multip…

LLM-Enhanced Reranking for Complementary Product Recommendation
Zekun Xu, Yudi Zhang
https://arxiv.org/abs/2507.16237 https://arxiv.o…

LLM-Enhanced Reranking for Complementary Product Recommendation
Complementary product recommendation, which aims to suggest items that are used together to enhance customer value, is a crucial yet challenging task in e-commerce. While existing graph neural network (GNN) approaches have made significant progress in capturing complex product relationships, they often struggle with the accuracy-diversity tradeoff, particularly for long-tail items. This paper introduces a model-agnostic approach that leverages Large Language Models (LLMs) to enhance the reranki…

Chemical Diagnostics for Tracing the Physical Structures in Disk-Forming Regions
Yoko Oya
https://arxiv.org/abs/2507.15371 https://ar…

Chemical Diagnostics for Tracing the Physical Structures in Disk-Forming Regions
To understand the chemical origin of the Solar system, the chemical evolution along the star/planet formation is a key issue. Extensive observational studies have demonstrated a chemical diversity in young low-mass protostellar sources so far. Furthermore, chemical differentiations in the vicinity of the protostars have recently been reported. This suggests that molecular distribution is sensitive to a change in the physical conditions associated with disk formation. Some kinds of molecular lin…

👇🧵
https://mastodon.social/@SeanCasten/114840593395959810

👇🧵
https://mastodon.social/@SeanCasten/114840593395959810

UN Peacekeeping Force in Lebanon Spends US Taxpayer Money on 'Gender Diversity' Training and Therapeutic Yoga Instruction, Drawing Scrutiny From Trump Admin (Adam Kredo/The Washington Free Beacon)
https://freebeacon.com/national-security/un-peacekeeping-force-in-lebanon-spends-us-taxpayer-money-on-gender-diversity-training-and-therapeutic-yoga-instruction-drawing-scrutiny-from-trump-admin/
http://www.memeorandum.com/250818/p3#a250818p3

Synthetic Data Matters: Re-training with Geo-typical Synthetic Labels for Building Detection
Shuang Song, Yang Tang, Rongjun Qin
https://arxiv.org/abs/2507.16657

Synthetic Data Matters: Re-training with Geo-typical Synthetic Labels for Building Detection
Deep learning has significantly advanced building segmentation in remote sensing, yet models struggle to generalize on data of diverse geographic regions due to variations in city layouts and the distribution of building types, sizes and locations. However, the amount of time-consuming annotated data for capturing worldwide diversity may never catch up with the demands of increasingly data-hungry models. Thus, we propose a novel approach: re-training models at test time using synthetic data tai…

KinForm: Kinetics Informed Feature Optimised Representation Models for Enzyme $k_{cat}$ and $K_{M}$ Prediction
Saleh Alwer, Ronan Fleming
https://arxiv.org/abs/2507.14639

KinForm: Kinetics Informed Feature Optimised Representation Models for Enzyme $k_{cat}$ and $K_{M}$ Prediction
Kinetic parameters such as the turnover number ($k_{cat}$) and Michaelis constant ($K_{\mathrm{M}}$) are essential for modelling enzymatic activity but experimental data remains limited in scale and diversity. Previous methods for predicting enzyme kinetics typically use mean-pooled residue embeddings from a single protein language model to represent the protein. We present KinForm, a machine learning framework designed to improve predictive accuracy and generalisation for kinetic parameters by…

Diffusion-driven pattern formation in an opinion dynamical network model
Tim Mauch, Thilo Gross
https://arxiv.org/abs/2508.15377 https://arxiv.org/pdf/2508…

Diffusion-driven pattern formation in an opinion dynamical network model
The spatial organization of individuals and their interactions in communities are important factors known to preserve diversity in many complex systems. Inspired by metapopulation models from ecology, we study opinion formation using a network-based approach in which nodes represent communities of interacting agents holding one of two competing opinions, and links represent avenues of migration. Agents adapt to the dominant opinion within a community or migrate toward communities with similar v…

A rutile-based homologous series Na(PtO$_2$)$_{2\it{n} 1}$ discovered by computationally assisted high-pressure synthesis
Yasuhito Kobayashi, Hidefumi Takahashi, Shunsuke Kitou, Akitoshi Nakano, Hajime Sagayama, Yuichi Yamasaki, Shintaro Ishiwata
https://arxiv.org/abs/2508.15223

A rutile-based homologous series Na(PtO$_2$)$_{2\it{n}+1}$ discovered by computationally assisted high-pressure synthesis
Layered transition metal oxides typified by the Ruddlesden-Popper phase have been extensively studied for its applications in high-temperature superconductivity, catalysis, and battery technologies. Despite the remarkable structural diversity and catalytic functionality of platinum oxides, the exploration of layered polymorphs has remained significantly constrained mainly due to the high inertness of platinum. Here, we discover a new homologous series of layered ternary oxides, Na(PtO$_2$)$_{2\…

Kaepernick, Lynch join hockey diversity event https://www.espn.com/olympics/hockey/story/_/id/45869078/colin-kaepernick-marshawn-lynch-join-hockey-diversity-group-host-event

Die ePetition 183357 an den Bundestag aus dem Bereich Migrationspolitik mit dem Titel
Einführung eines bundesweiten Visa-Lotterie-Programms nach Vorbild der Diversity Visa Lottery der Vereinigten Staaten
kann bis zum Mittwoch 01. Oktober 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Pet…

Die ePetition 183357 an den Bundestag aus dem Bereich Migrationspolitik mit dem Titel
Einführung eines bundesweiten Visa-Lotterie-Programms nach Vorbild der Diversity Visa Lottery der Vereinigten Staaten
kann bis zum Mittwoch 01. Oktober 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Pet…

ICYMI yesterday: I've been writing about the diversity of tools for contributing to #OpenStreetMap and how this diversity plays a role in creating and maintaining a healthy commons.
https://tzovar.as/tool-diversity/

The far right is surging in the United States,
driven in part by white nationalists exploiting economic anxieties
and a populace increasingly frustrated with the political status quo.
Now, as the Trump administration rolls back diversity, equity and inclusion policies,
cracks down on immigration and offers pardons to white supremacists,
some see an opening.
In creating their community, the founders of "Return to the Land" are challenging anti-d…

Arkansas Housing Development Restricted to White Residents Sparks Legal Concerns
Housing rights experts say a community restricted to white residents is illegal, but the creators believe they could win a potential challenge in court in the current political climate.

IBM verabschiedet sich von jahrzehntelanger Diversitätsarbeit: Keine Diversity-Ziele mehr, keine Boni für Vielfalt, kein Diversity Council. Die Heritage Foundation reklamiert den Kurswechsel als Sieg – ein Signal für den „Great Unwokening“ der US-Konzerne. #CIO.DE #Diversity

Wie Tech-Konzerne das DEI-Rad zurückdrehen
Nach Anweisungen der Trump-Administration haben viele Tech-Unternehmen ihre DEI-Initiativen gekappt. Nur wenige stemmen sich gegen den Trend.

Crosslisted article(s) found for cs.CY. https://arxiv.org/list/cs.CY/new
[1/1]:
- Benchmarking Sociolinguistic Diversity in Swahili NLP: A Taxonomy-Guided Approach
Kezia Oketch, John P. Lalor, Ahmed Abbasi

A voice for minorities: diversity in approval-based committee elections under incomplete or inaccurate information
Feline Lindeboom, Martijn Brehm, Davide Grossi, Pradeep Murukannaiah
https://arxiv.org/abs/2506.10843

A voice for minorities: diversity in approval-based committee elections under incomplete or inaccurate information
We study diversity in approval-based committee elections with incomplete or inaccurate information. As standard in the literature on approval-based multi-winner voting, we define diversity according to the maximum coverage problem, which is known to be NP-complete, with a best attainable polynomial time approximation ratio of $1-1/\e$. In the incomplete information model, voters can vote on only a small portion of the candidates. We suggest a greedy algorithm and a local search algorithm that q…

Ich hab grad nachgeschaut, Nestlé hat trotz Trump sein Diversity-Programm weiter online und bewirbt dies auch mit Regenbogen-T-Shirts etc.¹ Vielleicht hat Klöckner einfach das Memo nicht gekriegt.
__
¹und dies auch auf seinen USA-Seiten und auf Nestlé Jobs (soweit ich das von hier aus beurteilen kann).
#pol

A Simple Intermediate Coupled MJO-ENSO Model: Multiscale Interactions and ENSO Complexity
Yinling Zhang, Nan Chen, Charlotte Moser
https://arxiv.org/abs/2507.14395

A Simple Intermediate Coupled MJO-ENSO Model: Multiscale Interactions and ENSO Complexity
The Madden-Julian Oscillation (MJO) and the El Niño-Southern Oscillation (ENSO) are two dominant modes of tropical climate variability, each with profound global weather impacts. While their individual dynamics have been widely studied, their coupled interactions, particularly in the context of ENSO complexity, including spatial diversity (Central Pacific vs. Eastern Pacific events), temporal evolution (single-year and multi-year events), and intensity variations (moderate to extreme events), …

Eine neue Studie zeigt die negativen Auswirkungen menschlicher Aktivitäten auf die biologische Vielfalt für alle Arten und Ökosysteme.
Menschliche Aktivitäten treiben den Verlust der biologischen Vielfalt sowohl direkt, als auch indirekt voran.
Via @…

The global human impact on biodiversity - Nature
Key measures of biodiversity were quantified and found to be affected by human pressures that shifted community composition and decreased local diversity across terrestrial, freshwater and marine ecosystems.

Hamburg police have understood what “defensive #democracy” means:
“Does flying the 🏳️‍🌈 flag violate the neutrality requirement? No! Our neutrality means political impartiality – but not neutrality in value. The flag represents values like diversity, tolerance & equality of rights, which are deeply embedded in our constitution.
Positioning ourselves against hate & discrimi…

Andreas Froese (@Andreas_Froese@mastodon.social)
Attached: 1 image Im Bundestag geht die Polizei auf Anordnung der Präsidentin und der Verwaltung gegen die #Regenbogenfahne vor. Die Hamburger Polizei hat dagegen dieses stabile Statement offiziell veröffentlicht. Klare Worte zur #Neutralität mit einer klaren #Haltung! #LGBTQIA+ #Regenbogenflagge #Queer

Harvard hiring investigation could upend employment practices for institutions well beyond academia (Aidan Ryan/The Boston Globe)
https://www.bostonglobe.com/2025/08/18/metro/harvard-trump-hiring-investigation-diversity/
http://www.memeorandum.com/250819/p60#a250819p60

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
Shumeng Li, Jian Zhang, Lei Qi, Luping Zhou, Yinghuan Shi, Yang Gao
https://arxiv.org/abs/2508.13712

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
Acquiring high-quality annotated data for medical image segmentation is tedious and costly. Semi-supervised segmentation techniques alleviate this burden by leveraging unlabeled data to generate pseudo labels. Recently, advanced state space models, represented by Mamba, have shown efficient handling of long-range dependencies. This drives us to explore their potential in semi-supervised medical image segmentation. In this paper, we propose a novel Diversity-enhanced Collaborative Mamba framewor…

Sparse Regression Codes exploit Multi-User Diversity without CSI
V S V Sandeep, Sai Dinesh Kancharana, Arun Pachai Kannu
https://arxiv.org/abs/2507.11383 h…

Sparse Regression Codes exploit Multi-User Diversity without CSI
We study sparse regression codes (SPARC) for multiple access channels with multiple receive antennas, in non-coherent flat fading channels. We propose a novel practical decoder, referred to as maximum likelihood matching pursuit (MLMP), which greedily finds the support of the codewords of users with partial maximum likelihood metrics. As opposed to the conventional successive-cancellation based greedy algorithms, MLMP works as a successive-combining energy detector. We also propose MLMP modific…

And another related position:
BirdFuture: Research Group Leader (f/m/x) for Developing Models of Bird Diversity and Policy-relevant Applications in Europe
#ecologyjobs #ecoevojobs #xp

Our English-language MA program in #ReligiousStudies attracts students from all over the world. Sometimes it can be a challenge to handle the diversity of undergrad training and disciplinary knowledge that our students bring with them. But this semester’s “ethics and politics of religious heritage” class was a delight. After a brief introduction, I let my students bring their topics, texts,…

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation
M. Michelessa, J. Ng, C. Hurter, B. Y. Lim
https://arxiv.org/abs/2506.19644 …

Varif.ai to Vary and Verify User-Driven Diversity in Scalable Image Generation
Diversity in image generation is essential to ensure fair representations and support creativity in ideation. Hence, many text-to-image models have implemented diversification mechanisms. Yet, after a few iterations of generation, a lack of diversity becomes apparent, because each user has their own diversity goals (e.g., different colors, brands of cars), and there are diverse attributions to be specified. To support user-driven diversity control, we propose Varif.ai that employs text-to-image…

Good morning everyone! We are starting into our second week of vacation. We'll be seeing some friends.
Meanwhile, enjoy this photo from a bike and hike we did last year.
#hiking #wandern #mountains

This is so frustrating. Fucking AI assholes! https://social.anoxinon.de/@Codeberg/115033796075422170

Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem
Gustavo V. Nascimento, Ivan R. Meneghini, Val\'eria Santos, Eduardo Luz, Gladston Moreira
https://arxiv.org/abs/2508.07077

Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem
Multi-objective evolutionary algorithms (MOEAs) are essential for solving complex optimization problems, such as the diet problem, where balancing conflicting objectives, like cost and nutritional content, is crucial. However, most MOEAs focus on optimizing solutions in the objective space, often neglecting the diversity of solutions in the decision space, which is critical for providing decision-makers with a wide range of choices. This paper introduces an approach that directly integrates a H…

Replaced article(s) found for astro-ph.SR. https://arxiv.org/list/astro-ph.SR/new
[1/1]:
- Explosions of pulsating red supergiants: a natural pathway for the diversity of Type II-P/L super...
V. A. Bronner, E. Laplace, F. R. N. Schneider, Ph. Podsiadlowski

🍄 Turning biodiversity upside down: Conservation maps miss fungal hotspots by focusing on plants
https://phys.org/news/2025-07-biodiversity-upside-fungal-hotspots-focusing.html

Turning biodiversity upside down: Conservation maps miss fungal hotspots by focusing on plants
For decades, scientists and conservationists have been using aboveground plant biodiversity as a metric for conserving ecosystems. Now, a new study finds that there is a major mismatch between aboveground plant diversity and Earth's underground fungal biodiversity.

A supercharged HIV vaccine could offer strong protection with just one injection, a study in mice has indicated.
Developed by researchers from the Massachusetts Institute of Technology (MIT) and the Scripps Research Center, the vaccine includes two "adjuvants"
—materials that help stimulate the immune system response.
In the experiments, the dual-adjuvant vaccine was found to produce a wider diversity of antibodies to protect against an HIV protein than with either s…

HIV: Supercharged Vaccine Could Protect Well With Just One Dose
The approach employed by the research team could be used against other diseases—including COVID-19 and influenza.

D-RDW: Diversity-Driven Random Walks for News Recommender Systems
Runze Li, Lucien Heitz, Oana Inel, Abraham Bernstein
https://arxiv.org/abs/2508.13035 https://

D-RDW: Diversity-Driven Random Walks for News Recommender Systems
This paper introduces Diversity-Driven RandomWalks (D-RDW), a lightweight algorithm and re-ranking technique that generates diverse news recommendations. D-RDW is a societal recommender, which combines the diversification capabilities of the traditional random walk algorithms with customizable target distributions of news article properties. In doing so, our model provides a transparent approach for editors to incorporate norms and values into the recommendation process. D-RDW shows enhanced pe…

The Diversity of Exoplanetary Environments and the Search for Signs of Life Beyond Earth
Sara Seager, Janusz J. Petkowski, William Bains
https://arxiv.org/abs/2506.11690

The Diversity of Exoplanetary Environments and the Search for Signs of Life Beyond Earth
Thousands of exoplanets orbit nearby stars, showcasing a remarkable diversity in mass, size, and orbits. With the James Webb Space Telescope now operational, we are observing exoplanet atmospheres and aiming to reach down to small, habitable-zone exoplanets in search of signs of habitability and possibly even biosignature gases. Given the scarcity of targets, it is imperative to embrace the known diversity and consider the range of exoplanets that might host life. We review how Earth life inter…

@… @… Evidence strongly implies that quotas work. If you set a minimum diversity quota, on any given axis, it doesn’t just improve your quality (because e.g. women who stay in male-dominated industries tend to be way better than their male cou…

The Tech DEI Backlash -- The Changing Landscape of Diversity, Equity, and Inclusion in Software Engineering
Sonja M. Hyrynsalmi, Mary Sanchez-Gordon, Anna Szlavi, Letizia Jaccheri
https://arxiv.org/abs/2506.14232

The Tech DEI Backlash -- The Changing Landscape of Diversity, Equity, and Inclusion in Software Engineering
Not long ago, Diversity, Equity, and Inclusion (DEI) initiatives were a top priority for leading software companies. However, in a short period, a wave of backlash has led many firms to re-assess their DEI strategies. Responding to this DEI backlash is crucial in academic research, especially because, currently, little scholarly research has been done on it. In this paper, therefore, we have set forth the following research question (RQ): "How have leading software companies changed their DEI s…

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous
https://arxiv.org/abs/2507.20956

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models
Instruction-tuning large language models (LLMs) reduces the diversity of their outputs, which has implications for many tasks, particularly for creative tasks. This paper investigates the ``diversity gap'' for a writing prompt narrative generation task. This gap emerges as measured by current diversity metrics for various open-weight and open-source LLMs. The results show significant decreases in diversity due to instruction-tuning. We explore the diversity loss at each fine-tuning stage for th…

Diversity First, Quality Later: A Two-Stage Assumption for Language Model Alignment
Zetian Sun, Dongfang Li, Baotian Hu
https://arxiv.org/abs/2508.10530 https://

Diversity First, Quality Later: A Two-Stage Assumption for Language Model Alignment
The alignment of language models (LMs) with human preferences is critical for building reliable AI systems. The problem is typically framed as optimizing an LM policy to maximize the expected reward that reflects human preferences. Recently, Direct Preference Optimization (DPO) was proposed as a LM alignment method that directly optimize the policy from static preference data, and further improved by incorporating on-policy sampling (i.e., preference candidates generated during the training loo…

3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
Jolanta Mozyrska, Marcel Beetz, Luke Melas-Kyriazi, Vicente Grau, Abhirup Banerjee, Alfonso Bueno-Orovio
https://arxiv.org/abs/2508.14122

3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
Diffusion models have recently gained immense interest for their generative capabilities, specifically the high quality and diversity of the synthesized data. However, examples of their applications in 3D medical imaging are still scarce, especially in cardiology. Generating diverse realistic cardiac anatomies is crucial for applications such as in silico trials, electromechanical computer simulations, or data augmentations for machine learning models. In this work, we investigate the applicati…

Following our mapping party for OpenStreetMap's birthday, I've been thinking more about the diversity of OSM tools and how they help create and maintain a commons.
#OpenStreetMap

Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
Lucien Heitz, Runze Li, Oana Inel, Abraham Bernstein
https://arxiv.org/abs/2508.13019

Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session Recommendations
Norm-aware recommender systems have gained increased attention, especially for diversity optimization. The recommender systems community has well-established experimentation pipelines that support reproducible evaluations by facilitating models' benchmarking and comparisons against state-of-the-art methods. However, to the best of our knowledge, there is currently no reproducibility framework to support thorough norm-driven experimentation at the pre-processing, in-processing, post-processing, …

I am using Desktop Linux¹ for decades because it is woke and gay²!
We want all the gay and merry people playing together :-)
__
¹specifically Debian
²read @… in https://

Fair Diversity Maximization with Few Representatives
Florian Adriaens, Nikolaj Tatti
https://arxiv.org/abs/2506.08110 https://arxiv.o…

Fair Diversity Maximization with Few Representatives
Diversity maximization problem is a well-studied problem where the goal is to find $k$ diverse items. Fair diversity maximization aims to select a diverse subset of $k$ items from a large dataset, while requiring that each group of items be well represented in the output. More formally, given a set of items with labels, our goal is to find $k$ items that maximize the minimum pairwise distance in the set, while maintaining that each label is represented within some budget. In many cases, one is …

Tech billionaire Trump adviser
Marc Andreessen
recently said universities will
“pay the price” for promoting diversity and allegedly discriminating against Trump supporters,
according to messages he sent to a group chat with White House officials and technology leaders.

The billionaire’s messages cited Massachusetts Institute of Technology, Stanford University
and the National Science Foundation.

“I view Stanford and MIT as mainly political lobbying o…

Tech billionaire Trump adviser Marc Andreesen says universities will ‘pay the price’ for DEI
Tech investor and Trump adviser Marc Andreessen in a private group chat attacked colleges for promoting diversity, saying they had discriminated against “native born kids.”

Self-Guided Action Diffusion
Rhea Malhotra, Yuejiang Liu, Chelsea Finn
https://arxiv.org/abs/2508.12189 https://arxiv.org/pdf/2508.12189

Self-Guided Action Diffusion
Recent works have shown the promise of inference-time search over action samples for improving generative robot policies. In particular, optimizing cross-chunk coherence via bidirectional decoding has proven effective in boosting the consistency and reactivity of diffusion policies. However, this approach remains computationally expensive as the diversity of sampled actions grows. In this paper, we introduce self-guided action diffusion, a more efficient variant of bidirectional decoding tailor…

Border Officials Told Not to Attend Events Tied to Diversity in Law Enforcement - The New York Times
https://www.nytimes.com/2025/06/02/us/politics/trump-diversity-border-customs-officials.html

Leveraging Conformational Diversity for Enhanced Structure-Based Virtual Screening: Insights from Molecular Dynamics Simulations of HIV-1 Protease-Ligand Complexes
Pei-Kun Yang
https://arxiv.org/abs/2507.09658

Leveraging Conformational Diversity for Enhanced Structure-Based Virtual Screening: Insights from Molecular Dynamics Simulations of HIV-1 Protease-Ligand Complexes
Structure-based virtual screening aims to identify high-affinity ligands by estimating binding free energies between proteins and small molecules. However, the conformational flexibility of both proteins and ligands challenges conventional rigid docking methods that assume a fixed receptor structure. In this study, we examined the impact of conformational diversity on binding energy calculations using 79 HIV-1 protease-ligand complexes. Molecular dynamics simulations were employed to generate s…

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Jinhyung Park, Javier Romero, Shunsuke Saito, Fabian Prada, Takaaki Shiratori, Yichen Xu, Federica Bogo, Shoou-I Yu, Kris Kitani, Rawal Khirodkar
https://arxiv.org/abs/2508.15767

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Parametric body models offer expressive 3D representation of humans across a wide range of poses, shapes, and facial expressions, typically derived by learning a basis over registered 3D meshes. However, existing human mesh modeling approaches struggle to capture detailed variations across diverse body poses and shapes, largely due to limited training data diversity and restrictive modeling assumptions. Moreover, the common paradigm first optimizes the external body surface using a linear basis…

Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
https://arxiv.org/abs/2508.14058

Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
The explosive growth of the video game industry has created an urgent need for recommendation systems that can scale with expanding catalogs and maintain user engagement. While prior work has explored accuracy and diversity in recommendations, existing models underutilize playtime, a rich behavioral signal unique to gaming platforms, and overlook the potential of multimodal information to enhance diversity. In this paper, we propose DP2Rec, a novel Dual-Phase Playtime-guided Recommendation mode…

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[1/1]:
- Addressing the core-cusp and diversity problem of dwarf and disk galaxies using cold collisionles...
Liliya L. R. Williams, Jens Hjorth, Evan D. Skillman

LUNDIsim: model meshes for flow simulation and scientific data compression benchmarks
Laurent Duval, Fr\'ed\'eric Payan, Christophe Preux, Lauriane Bouard
https://arxiv.org/abs/2508.13636

LUNDIsim: model meshes for flow simulation and scientific data compression benchmarks
The volume of scientific data produced for and by numerical simulation workflows is increasing at an incredible rate. This raises concerns either in computability, interpretability, and sustainability. This is especially noticeable in earth science (geology, meteorology, oceanography, and astronomy), notably with climate studies. We highlight five main evaluation issues: efficiency, discrepancy, diversity, interpretability, availability. Among remedies, lossless and lossy compression techn…

"…so what exactly is going on between publishers and the NIH?" @ ACRLog: https://acrlog.org/2025/07/15/so-what-exactly-is-going-on-between-publishers-and-the-nih/

Explosions of pulsating red supergiants: a natural pathway for the diversity of Type II-P/L supernovae
V. A. Bronner, E. Laplace, F. R. N. Schneider, Ph. Podsiadlowski
https://arxiv.org/abs/2508.11077 …

Explosions of pulsating red supergiants: a natural pathway for the diversity of Type II-P/L supernovae
Red supergiants (RSGs), which are progenitors of hydrogen-rich Type II supernovae (SNe), have been known to pulsate from both observations and theory. The pulsations can be present at core collapse and affect the resulting SN. However, SN light curve models of such RSGs commonly use hydrostatic progenitor models and ignore pulsations. Here, we model the final stages of a 15 solar-mass RSG and self-consistently follow the hydrodynamical evolution. We find the growth of large amplitude radial pul…

Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control
Sadman Sadeed Omee, Lai Wei, Sourin Dey, Jianjun Hu
https://arxiv.org/abs/2506.11332

Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control
Crystalline materials can form different structural arrangements (i.e. polymorphs) with the same chemical composition, exhibiting distinct physical properties depending on how they were synthesized or the conditions under which they operate. For example, carbon can exist as graphite (soft, conductive) or diamond (hard, insulating). Computational methods that can predict these polymorphs are vital in materials science, which help understand stability relationships, guide synthesis efforts, and d…

MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
Kareem Elozeiri, Mervat Abassy, Preslav Nakov, Yuxia Wang
https://arxiv.org/abs/2508.13130 https://

MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
Commonsense validation evaluates whether a sentence aligns with everyday human understanding, a critical capability for developing robust natural language understanding systems. While substantial progress has been made in English, the task remains underexplored in Arabic, particularly given its rich linguistic diversity. Existing Arabic resources have primarily focused on Modern Standard Arabic (MSA), leaving regional dialects underrepresented despite their prevalence in spoken contexts. To bri…

Is Diversity All You Need for Scalable Robotic Manipulation?
Modi Shi, Li Chen, Jin Chen, Yuxiang Lu, Chiming Liu, Guanghui Ren, Ping Luo, Di Huang, Maoqing Yao, Hongyang Li
https://arxiv.org/abs/2507.06219

Is Diversity All You Need for Scalable Robotic Manipulation?
Data scaling has driven remarkable success in foundation models for Natural Language Processing (NLP) and Computer Vision (CV), yet the principles of effective data scaling in robotic manipulation remain insufficiently understood. In this work, we investigate the nuanced role of data diversity in robot learning by examining three critical dimensions-task (what to do), embodiment (which robot to use), and expert (who demonstrates)-challenging the conventional intuition of "more diverse is better…

Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems
Nityaa Kalra, Savvina Daniil
https://arxiv.org/abs/2508.15643 https://arxiv…

Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems
Recommender systems help users discover new content, but can also reinforce existing biases, leading to unfair exposure and reduced diversity. This paper introduces and investigates thematic bias in book recommendations, defined as a disproportionate favouring or neglect of certain book themes. We adopt a multi-stage bias evaluation framework using the Book-Crossing dataset to evaluate thematic bias in recommendations and its impact on different user groups. Our findings show that thematic bi…

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Xiao Liang, Zhongzhi Li, Yeyun Gong, Yelong Shen, Ying Nian Wu, Zhijiang Guo, Weizhu Chen
https://arxiv.org/abs/2508.14029

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Reinforcement Learning with Verifiable Rewards (RLVR) has recently emerged as a key paradigm for post-training Large Language Models (LLMs), particularly for complex reasoning tasks. However, vanilla RLVR training has been shown to improve Pass@1 performance at the expense of policy entropy, leading to reduced generation diversity and limiting the Pass@k performance, which typically represents the upper bound of LLM reasoning capability. In this paper, we systematically analyze the policy's gen…

Trump’s administration simply will not stop setting up snitch lines,
urging federal staff to rat on each other for the crime of being anti-Trump
or in favor of the virtues of diversity, equity, and inclusion.
https://www.rollingstone.com/pol…

Trump’s Government Is a Den of Snitches, ‘Freaks,’ and Paranoid Tyrants
The Department of Health and Human Services is the latest agency to ask government employees to snitch about diversity practices.

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
Shaohua Duan, Xinze Li, Zhenghao Liu, Xiaoyuan Yi, Yukun Yan, Shuo Wang, Yu Gu, Ge Yu, Maosong Sun
https://arxiv.org/abs/2508.13993

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization
Long-context modeling is critical for a wide range of real-world tasks, including long-context question answering, summarization, and complex reasoning tasks. Recent studies have explored fine-tuning Large Language Models (LLMs) with synthetic data to enhance their long-context capabilities. However, the effectiveness of such approaches is often limited by the low diversity and factual inconsistencies in the generated data. To address these challenges, we propose LongMab-PO, a novel framework t…

How DEI Bureaucrats Control University Hiring (John D. Sailer/City Journal)
https://www.city-journal.org/article/university-hiring-dei-diversity-checks-discrimination
http://www.memeorandum.com/250708/p35#a250708p35

ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset
Qingwen Zeng, Juan E. Tapia, Izan Garcia, Juan M. Espin, Christoph Busch
https://arxiv.org/abs/2508.13078 http…

ID-Card Synthetic Generation: Toward a Simulated Bona fide Dataset
Nowadays, the development of a Presentation Attack Detection (PAD) system for ID cards presents a challenge due to the lack of images available to train a robust PAD system and the increase in diversity of possible attack instrument species. Today, most algorithms focus on generating attack samples and do not take into account the limited number of bona fide images. This work is one of the first to propose a method for mimicking bona fide images by generating synthetic versions of them using St…

Feature Request Analysis and Processing: Tasks, Techniques, and Trends
Feifei Niu, Chuanyi Li, Haosheng Zuo, Jionghan Wu, Xin Xia
https://arxiv.org/abs/2508.12436 https://

Feature Request Analysis and Processing: Tasks, Techniques, and Trends
Feature requests are proposed by users to request new features or enhancements of existing features of software products, which represent users' wishes and demands. Satisfying users' demands can benefit the product from both competitiveness and user satisfaction. Feature requests have seen a rise in interest in the past few years and the amount of research has been growing. However, the diversity in the research topics suggests the need for their collective analysis to identify the challenges a…

A former leader of the Education Department’s Office for Civil Rights during the Obama and Biden administrations
called the Trump administration’s targeting of undefined diversity, equity and inclusion legally spurious
and urged colleges and universities to stand up for their values.
At a panel last week at the annual Education Writers Association conference here,
Catherine Lhamon said it’s “enormously frustrating to me to see the federal government use its voice to sa…

Biden Civil Rights Chief: Trump Anti-DEI Orders Aren’t Law
Catherine Lhamon joined the American Council on Education’s president and a student in criticizing the current federal administration’s targeting of universities over diversity, equity and inclusion.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
Xianda Guo, Ruijun Zhang, Yiqun Duan, Ruilin Wang, Keyuan Zhou, Wenzhao Zheng, Wenke Huang, Gangwei Xu, Mike Horton, Yuan Si, Hao Zhao, Long Chen
https://arxiv.org/abs/2508.13977

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
Depth estimation is a fundamental task for 3D scene understanding in autonomous driving, robotics, and augmented reality. Existing depth datasets, such as KITTI, nuScenes, and DDAD, have advanced the field but suffer from limitations in diversity and scalability. As benchmark performance on these datasets approaches saturation, there is an increasing need for a new generation of large-scale, diverse, and cost-efficient datasets to support the era of foundation models and multi-modal learning. T…

A survey of diversity quantification in natural language processing: The why, what, where and how
Louis Est\`eve, Marie-Catherine de Marneffe, Nurit Melnik, Agata Savary, Olha Kanishcheva
https://arxiv.org/abs/2507.20858

A survey of diversity quantification in natural language processing: The why, what, where and how
The concept of diversity has received increased consideration in Natural Language Processing (NLP) in recent years. This is due to various motivations like promoting and inclusion, approximating human linguistic behavior, and increasing systems' performance. Diversity has however often been addressed in an ad hoc manner in NLP, and with few explicit links to other domains where this notion is better theorized. We survey articles in the ACL Anthology from the past 6 years, with "diversity" or "d…

Unsupervised Urban Tree Biodiversity Mapping from Street-Level Imagery Using Spatially-Aware Visual Clustering
Diaa Addeen Abuhani, Marco Seccaroni, Martina Mazzarello, Imran Zualkernan, Fabio Duarte, Carlo Ratti
https://arxiv.org/abs/2508.13814

Unsupervised Urban Tree Biodiversity Mapping from Street-Level Imagery Using Spatially-Aware Visual Clustering
Urban tree biodiversity is critical for climate resilience, ecological stability, and livability in cities, yet most municipalities lack detailed knowledge of their canopies. Field-based inventories provide reliable estimates of Shannon and Simpson diversity but are costly and time-consuming, while supervised AI methods require labeled data that often fail to generalize across regions. We introduce an unsupervised clustering framework that integrates visual embeddings from street-level imagery …

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu
https://arxiv.org/abs/2506.15681

GenRecal: Generation after Recalibration from Large to Small Vision-Language Models
Recent advancements in vision-language models (VLMs) have leveraged large language models (LLMs) to achieve performance on par with closed-source systems like GPT-4V. However, deploying these models in real-world scenarios, particularly on resource-constrained devices, remains challenging due to their substantial computational demands. This has spurred interest in distilling knowledge from large VLMs into smaller, more efficient counterparts. A key challenge arises here from the diversity of VL…

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection
Hongyang Zhao, Tianyu Liang, Sina Davari, Daeho Kim
https://arxiv.org/abs/2507.13221

Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection
While recent advancements in deep neural networks (DNNs) have substantially enhanced visual AI's capabilities, the challenge of inadequate data diversity and volume remains, particularly in construction domain. This study presents a novel image synthesis methodology tailored for construction worker detection, leveraging the generative-AI platform Midjourney. The approach entails generating a collection of 12,000 synthetic images by formulating 3000 different prompts, with an emphasis on image r…