Tootfinder

A Markovian Framing of WaveFunctionCollapse for Procedurally Generating Aesthetically Complex Environments
Franklin Yiu, Mohan Lu, Nina Li, Kevin Joseph, Tianxu Zhang, Julian Togelius, Timothy Merino, Sam Earle
https://arxiv.org/abs/2509.09919

A Markovian Framing of WaveFunctionCollapse for Procedurally Generating Aesthetically Complex Environments
Procedural content generation often requires satisfying both designer-specified objectives and adjacency constraints implicitly imposed by the underlying tile set. To address the challenges of jointly optimizing both constraints and objectives, we reformulate WaveFunctionCollapse (WFC) as a Markov Decision Process (MDP), enabling external optimization algorithms to focus exclusively on objective maximization while leveraging WFC's propagation mechanism to enforce constraint satisfaction. We emp…

"Moral appraisals of generative #AI: How mindset framing shapes moral judgments, emotional appraisals and privacy behavior" https://doi.org/10.1016/j.ijinfomgt.2025.102940…

This is why I ended my support for the Guardian. I could not keep paying for hate. https://fed.brid.gy/r/https://bsky.app/profile/did:plc:wcmdstkjsrghcsa6e76kocbs/post/3lwgsajxkhc2s

#Blakes7 Series B, Episode 10 - Voice from the Past
AVON: [Restrains Blake] Blake.
BLAKE: Renounce!
AVON: Easy, easy!
BLAKE: Renounce!
AVON: [To Cally] Tranquilizer pack!
BLAKE: Renounce! [Cally administers the tranquilizer pack. Blake subsides]

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7
Yuksel Aydin
https://arxiv.org/abs/2508.10033 https://arxiv.org/pdf/2…

Cognitive Cybersecurity for Artificial Intelligence: Guardrail Engineering with CCS-7
Language models exhibit human-like cognitive vulnerabilities, such as emotional framing, that escape traditional behavioral alignment. We present CCS-7 (Cognitive Cybersecurity Suite), a taxonomy of seven vulnerabilities grounded in human cognitive security research. To establish a human benchmark, we ran a randomized controlled trial with 151 participants: a "Think First, Verify Always" (TFVA) lesson improved cognitive security by +7.9% overall. We then evaluated TFVA-style guardrails across 1…

Vision-driven River Following of UAV via Safe Reinforcement Learning using Semantic Dynamics Model
Zihan Wang, Nina Mahmoudian
https://arxiv.org/abs/2508.09971 https://

Vision-driven River Following of UAV via Safe Reinforcement Learning using Semantic Dynamics Model
Vision-driven autonomous river following by Unmanned Aerial Vehicles is critical for applications such as rescue, surveillance, and environmental monitoring, particularly in dense riverine environments where GPS signals are unreliable. We formalize river following as a coverage control problem in which the reward function is submodular, yielding diminishing returns as more unique river segments are visited, thereby framing the task as a Submodular Markov Decision Process. First, we introduce Ma…

FRaN-X: FRaming and Narratives-eXplorer
Artur Muratov, Hana Fatima Shaikh, Vanshikaa Jani, Tarek Mahmoud, Zhuohan Xie, Daniil Orel, Aaryamonvikram Singh, Yuxia Wang, Aadi Joshi, Hasan Iqbal, Ming Shan Hee, Dhruv Sahnan, Nikolaos Nikolaidis, Purifica\c{c}\~ao Silvano, Dimitar Dimitrov, Roman Yangarber, Ricardo Campos, Al\'ipio Jorge, Nuno Guimar\~aes, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov

FRaN-X: FRaming and Narratives-eXplorer
We present FRaN-X, a Framing and Narratives Explorer that automatically detects entity mentions and classifies their narrative roles directly from raw text. FRaN-X comprises a two-stage system that combines sequence labeling with fine-grained role classification to reveal how entities are portrayed as protagonists, antagonists, or innocents, using a unique taxonomy of 22 fine-grained roles nested under these three main categories. The system supports five languages (Bulgarian, English, Hindi, R…

Harmonic maps and framed $\mathrm{PSL}_2(\mathbb{C})$-representations
Subhojoy Gupta, Gobinda Sau
https://arxiv.org/abs/2508.10335 https://arxiv.org/pdf/25…

Harmonic maps and framed $\mathrm{PSL}_2(\mathbb{C})$-representations
We show that given an element $X$ of the enhanced Teichmüller space $\mathcal{T}^\pm(\mathbb{S}, \mathbb{M})$ and a type-preserving framed $\mathrm{PSL}_2(\mathbb{C})$-representation $\hatρ = (ρ,β)$, there is a $ρ$-equivariant harmonic map $f:\mathbb{H}^2 \to \mathbb{H}^3$ that is asymptotic to the framing $β$. Here, the domain is the universal cover of the punctured Riemann surface obtained from a conformal completion of $X$. Moreover, such a harmonic map is unique if one prescribes, in …

STRIDE: Scalable and Interpretable XAI via Subset-Free Functional Decomposition
Chaeyun Ko
https://arxiv.org/abs/2509.09070 https://arxiv.org/pdf/2509.0907…

STRIDE: Scalable and Interpretable XAI via Subset-Free Functional Decomposition
Most explainable AI (XAI) frameworks face two practical limitations: the exponential cost of reasoning over feature subsets and the reduced expressiveness of summarizing effects as single scalar values. We present STRIDE, a scalable framework that aims to mitigate both issues by framing explanation as a subset-enumeration-free, orthogonal functional decomposition in a Reproducing Kernel Hilbert Space (RKHS). Rather than focusing only on scalar attributions, STRIDE computes functional components…

@… just saw your story seeds site which is very cool. One gentle nudge: the "humanity learns how to sustainably live on Earth," framing erases all the groups of humans who do already know how to live sustainably, and have been doing do for tens of thousands of years. It's not "humans" who have "learning" to do, but specific groups of humans who have decisions to make.
Admittedly there's some learning to do about sustainably at scale, and about integrating good modern inventions with sustainable traditions, but I think that framing the problem as "we need to deploy existing rich knowledges of how to live sustainably" helps newcomers catch on to the decolonial thread of solarpunk more easily.

On The Road - To Xi’An 🌫️
在路上 - 去西安 🌫️
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite

You ask your roommate to buy toilet paper. They show you the receipt as proof. The next morning, when you need toilet paper, the drawer is actually empty. This is because they used an innovative new method called Lean Shopping, where instead of buying the things they just print out a receipt — saving time and money.
This is a story about the social nature of problem framing, and when "high velocity" becomes less productive.

Skipping alignment leads to zero-impact UX
Deliverable artifacts are only a small part of the social system that product development entails. Any "productivity" gained by ignoring that system is an illusion.

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
Matteo Guida, Yulia Otmakhova, Eduard Hovy, Lea Frermann
https://arxiv.org/abs/2507.04612

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
When a news article describes immigration as an "economic burden" or a "humanitarian crisis," it selectively emphasizes certain aspects of the issue. Although \textit{framing} shapes how the public interprets such issues, audiences do not absorb frames passively but actively reorganize the presented information. While this relationship between source content and audience response is well-documented in the social sciences, NLP approaches often ignore it, detecting frames in articles and response…

Identifying Framing Practices in Visualization Design Through Practitioner Reflections
Prakash Shukla, Paul Parsons
https://arxiv.org/abs/2508.20383 https://

Identifying Framing Practices in Visualization Design Through Practitioner Reflections
Framing -- how designers define and reinterpret problems, shape narratives, and guide audience understanding -- is central to design practice. Yet in visualization research, framing has been examined mostly through its rhetorical and perceptual effects on audiences, leaving its role in the design process underexplored. This study addresses that gap by analyzing publicly available podcasts and book chapters in which over 80 professional visualization designers reflect on their work. We find that…

Shifting Narratives: A Longitudinal Analysis of Media Trends and Public Attitudes on Homelessness
Akshay Irudayaraj (Brown University), Nathan Ye (University of California--Berkeley), Yash Chainani (University of California--Berkeley)
https://arxiv.org/abs/2506.21794

Shifting Narratives: A Longitudinal Analysis of Media Trends and Public Attitudes on Homelessness
Within the field of media framing, homelessness has been a historically under-researched topic. Framing theory states that the media's method of presenting information plays a pivotal role in controlling public sentiment toward a topic. The sentiment held towards homeless individuals influences their ability to access jobs, housing, and resources as a result of discrimination. This study analyzes the topic and sentiment trends in related media articles to validate framing theory within the scop…

Framing Triangulations and Framing Posets of Planar DAGs with Nontrivial Netflow Vectors
Jonah Berggren
https://arxiv.org/abs/2507.12684 https://

Framing Triangulations and Framing Posets of Planar DAGs with Nontrivial Netflow Vectors
The space of unit flows on a directed acyclic graph (DAG) with one source and one sink is known to admit regular unimodular triangulations induced by framings of the DAG. The dual graph of any of these triangulations may be given the structure of the Hasse diagram of a lattice, generalizing many variations of the Tamari lattice and the weak order. We extend this theory to flow polytopes of DAGs which may have multiple sources, multiple sinks, and nontrivial netflow vectors under certain planari…

The picture of James Baldwin with the moon and corona halo are from Maria Popova's The Marginalian website: https://www.themarginalian.org/2021/06/06/james-baldwin-giovannis-room-love-choice/?mc_cid=a97353e0…

James Baldwin on Love, the Illusion of Choice, and the Paradox of Freedom
“Nothing is more unbearable, once one has it, than freedom.”

Grundsätzlich finde ich so eine Aufklärungskampagne gar nicht verkehrt, aber Framing, Tonfall und die regelwidrige Plakatkampagne* sind Mist. Die Aufwertung von Alternativrouten ist gar kein Thema.
*) Plakatieren auf der Hauptstraße ist verboten
https://www.ta…

Dresden: So sollen Rambo-Radler auf der Hauptstraße gestoppt werden
Mit Plakaten soll der Konflikt zwischen rücksichtslosen Radlern und Fußgängern sowie Händlern auf der Hauptstraße gelöst werden.

AI is flooding libraries with generated content just as budgets and staff are at their most precarious. This Thursday at 10am EDT my ASIS&T webinar asks if we need to ban it, label it, absorb it—or rethink the library itself.
https://www.asist.org/meetings-events/webi

While I'm copying yesterday's photos to my computer, I'll just share some more photos from my recent blog post.
I tried to put the bushes at the lake as framing elements into the #photos. I think it worked out quite okay. -- And while we were on this walk I imagined all the time where and how this could look at sunset or with fog.
Maybe I should go there a again a couple o…

In a note to staff, Axios says it is changing its AI policy, which promised "NO AI-written stories", as it was "unnecessarily limiting" given AI's progress (Max Tani/@maxwelltani)
https://x.com/maxwelltani/status/1940037748796047854

Max Tani (@maxwelltani) on X
Axios is changing  its editorial policies to be more friendly to AI use. In a recent note to staff, Axios said it was revising its AI language. "The new language replaces our original framing which was centered on how everything we do 'will be written or produced by a real

Stated Preference for Interaction and Continued Engagement (SPICE): Evaluating an LLM's Willingness to Re-engage in Conversation
Thomas Manuel Rost, Martina Figlia, Bernd Wallraff
https://arxiv.org/abs/2509.09043

Stated Preference for Interaction and Continued Engagement (SPICE): Evaluating an LLM's Willingness to Re-engage in Conversation
We introduce and evaluate Stated Preference for Interaction and Continued Engagement (SPICE), a simple diagnostic signal elicited by asking a Large Language Model a YES or NO question about its willingness to re-engage with a user's behavior after reviewing a short transcript. In a study using a 3-tone (friendly, unclear, abusive) by 10-interaction stimulus set, we tested four open-weight chat models across four framing conditions, resulting in 480 trials. Our findings show that SPICE sharply d…

Framed defects in ABJ(M)
Marco S. Bianchi, Luigi Castiglioni, Silvia Penati, Marcia Tenser, Diego Trancanelli
https://arxiv.org/abs/2508.21068 https://arxi…

Framed defects in ABJ(M)
We investigate the role of framing in a family of 1/24 BPS Wilson loops in ABJ(M) theory, which define flows of supersymmetric defect field theories, interpolating between the 1/6 BPS and the 1/2 BPS superconformal fixed points. We analyze in perturbation theory how framing affects both the expectation values of these operators and the correlation functions of local insertions on the defect, as well as its interplay with RG flow and the g-theorem. We obtain a non-trivial identity between the on…

Der Extremismus einer lebensmüden Ideologie, die unter dem Deckmantel-Framing von #Freiheit das Leben zig tausender Menschen riskiert und bereitwillig Leid und Elend akzeptiert, kennt keine Grenzen.
Die US Emergency Management Agency suspendiert Leute, die eben diese Gefahren anspricht. Ein Vorgehen, dass ich auch Leuten wie Dobrindt, Klöckner und ihren rechtsextremen Vortänzern bei der rec…

From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images
Danrong Zhang, Huili Huang, N. Simrill Smith, Nimisha Roy, J. David Frost
https://arxiv.org/abs/2507.02781

From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images
In the aftermath of earthquakes, social media images have become a crucial resource for disaster reconnaissance, providing immediate insights into the extent of damage. Traditional approaches to damage severity assessment in post-earthquake social media images often rely on classification methods, which are inherently subjective and incapable of accounting for the varying extents of damage within an image. Addressing these limitations, this study proposes a novel approach by framing damage seve…

As usual we watched the "Stoertebekker" stage play at Ralswiek on Rügen Island. The stage setups and wardrobes were as awesome as always. They really try to improve on that every year and come up with clever mechanisms to transform the building for the various acts of the play. The script this year left room for desire ;) Nevertheless a happing worth attending
htt…

EDIT: See my follow-up reply framing why this may be a bad resource after all.
List of EAA penalties, authorities, and lawsuit risk by country is the useful (to me) section here:
https://equalizedigital.com/european-accessibility-ac…

The Ultimate Guide to the European Accessibility Act for WordPress - Equalize Digital
See what the European Accessibility Act means for your WordPress website and business. Laws and penalties for all 27 countries summarized.

Forgive and Forget? An Industry 5.0 Approach to Trust-Fatigue Co-regulation in Human-Cobot Order Picking
Soumyadeep Dhar
https://arxiv.org/abs/2508.03765 https://

Forgive and Forget? An Industry 5.0 Approach to Trust-Fatigue Co-regulation in Human-Cobot Order Picking
This paper investigates the critical role of trust and fatigue in human-cobot collaborative order picking, framing the challenge within the scope of Logistics 5.0 -- the implementation of human-robot symbiosis in smart logistics. We propose a dynamic, leader-follower Stackelberg game to model this interaction, where utility functions explicitly account for human fatigue and trust. Through agent-based simulations, we demonstrate that while a naive model leads to a "trust death spiral," a refined…

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
Yannick Kirchhoff, Maximilian Rokuss, Fabian Isensee, Klaus H. Maier-Hein
https://arxiv.org/abs/2509.00613 https://

Promptable Longitudinal Lesion Segmentation in Whole-Body CT
Accurate segmentation of lesions in longitudinal whole-body CT is essential for monitoring disease progression and treatment response. While automated methods benefit from incorporating longitudinal information, they remain limited in their ability to consistently track individual lesions across time. Task 2 of the autoPET/CT IV Challenge addresses this by providing lesion localizations and baseline delineations, framing the problem as longitudinal promptable segmentation. In this work, we exte…

Maps from knots to $2$-links, chord diagrams, and a way to enhance Vassiliev invariants
Vassily Olegovich Manturov
https://arxiv.org/abs/2509.01971 https://

Maps from knots to $2$-links, chord diagrams, and a way to enhance Vassiliev invariants
In the present paper, we discuss a way of generalising Vassiliev knot invariants and weight systems to framed chord diagrams having framing 0 and 1.

Urban Solitude 🈳
城市孤独 🈳
📷 Pentax MX
🎞️Fujifilm Neopan SS, expired 1995
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

Moving beyond harm. A critical review of how NLP research approaches discrimination
Katrin Schulz, Marjolein Lanzing, Giulia Martinez Brenner
https://arxiv.org/abs/2508.04504 ht…

Moving beyond harm. A critical review of how NLP research approaches discrimination
How to avoid discrimination in the context of NLP technology is one of the major challenges in the field. We propose that a different and more substantiated framing of the problem could help to find more productive approaches. In the first part of the paper we report on a case study: a qualitative review on papers published in the ACL anthologies 2022 on discriminatory behavior of NLP systems. We find that the field (i) still has a strong focus on a technological fix of algorithmic discriminati…

this is a very cool record store
#OldVinyl #vinyl #vinylrecords

AI Through the Human Lens: Investigating Cognitive Theories in Machine Psychology
Akash Kundu, Rishika Goswami
https://arxiv.org/abs/2506.18156 https://

AI Through the Human Lens: Investigating Cognitive Theories in Machine Psychology
We investigate whether Large Language Models (LLMs) exhibit human-like cognitive patterns under four established frameworks from psychology: Thematic Apperception Test (TAT), Framing Bias, Moral Foundations Theory (MFT), and Cognitive Dissonance. We evaluated several proprietary and open-source models using structured prompts and automated scoring. Our findings reveal that these models often produce coherent narratives, show susceptibility to positive framing, exhibit moral judgments aligned wi…

This truck’s paint job is impressive. It’s not *good* mind you, but I’ve never seen anything like it before.
Excuse the framing, I was walking uphill and trying not to smack into poles.

A Praxis of Influence: Framing the Observation and Measurement of Information Power
Chris Bronk, Jason Pittman, Carolyn Semmler
https://arxiv.org/abs/2508.18482 https://

A Praxis of Influence: Framing the Observation and Measurement of Information Power
Information power is the capacity to convert data flows into durable shifts in attention, belief, and behavior. We argue that this power has migrated from broadcast persuasion to platform-ized, data-driven operations that fuse computational delivery with cognitive effects. In this context, we define and bound information power within international relations and the information environment while demonstrating why observing and measuring it demands an integrated lens that combines politics (goals…

Replaced article(s) found for math.HO. https://arxiv.org/list/math.HO/new
[1/1]:
- Framing the Fundamental Theorem of Calculus Through Physics-Based Quantities
Suzanne White Brahmia, Patrick W. Thompson

Urban Snaps 📸
城市抓拍 📸
📷 Pentax MX
🎞️Fujifilm Neopan SS, expired 1995
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

Oyster-I: Beyond Refusal -- Constructive Safety Alignment for Responsible Language Models
Ranjie Duan, Jiexi Liu, Xiaojun Jia, Shiji Zhao, Ruoxi Cheng, Fengxiang Wang, Cheng Wei, Yong Xie, Chang Liu, Defeng Li, Yinpeng Dong, Yichi Zhang, Yuefeng Chen, Chongwen Wang, Xingjun Ma, Xingxing Wei, Yang Liu, Hang Su, Jun Zhu, Xinfeng Li, Yitong Sun, Jie Zhang, Jinzhao Hu, Sha Xu, Yitong Yang, Jialing Tao, Hui Xue

Oyster-I: Beyond Refusal -- Constructive Safety Alignment for Responsible Language Models
Large language models (LLMs) typically deploy safety mechanisms to prevent harmful content generation. Most current approaches focus narrowly on risks posed by malicious actors, often framing risks as adversarial events and relying on defensive refusals. However, in real-world settings, risks also come from non-malicious users seeking help while under psychological distress (e.g., self-harm intentions). In such cases, the model's response can strongly influence the user's next actions. Simple r…

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Mariia Ershova, Graziano Blasilli
https://arxiv.org/abs/2506.24104

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Digital twins (DT) are increasingly used in healthcare to model patients, processes, and physiological systems. While recent solutions leverage visualization, visual analytics, and user interaction, these systems rarely incorporate structured service design methodologies. Bridging service design with visual analytics and visualization can be valuable for the healthcare DT community. This paper aims to introduce the service design discipline to visualization researchers by framing this integrati…

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- Framing the Fundamental Theorem of Calculus Through Physics-Based Quantities
Suzanne White Brahmia, Patrick W. Thompson

Source-Condition Analysis of Kernel Adversarial Estimators
Antonio Olivas-Martinez, Andrea Rotnitzky
https://arxiv.org/abs/2508.17181 https://arxiv.org/pdf…

Source-Condition Analysis of Kernel Adversarial Estimators
In many applications, the target parameter depends on a nuisance function defined by a conditional moment restriction, whose estimation often leads to an ill-posed inverse problem. Classical approaches, such as sieve-based GMM, approximate the restriction using a fixed set of test functions and may fail to capture important aspects of the solution. Adversarial estimators address this limitation by framing estimation as a game between an estimator and an adaptive critic. We study the class of Re…

Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription
Anna Hamberger, Sebastian Murgul, Jochen Schmidt, Michael Heizmann
https://arxiv.org/abs/2506.14223

Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription
Music transcription plays a pivotal role in Music Information Retrieval (MIR), particularly for stringed instruments like the guitar, where symbolic music notations such as MIDI lack crucial playability information. This contribution introduces the Fretting-Transformer, an encoderdecoder model that utilizes a T5 transformer architecture to automate the transcription of MIDI sequences into guitar tablature. By framing the task as a symbolic translation problem, the model addresses key challenges…

FPGA & VPU Co-Processing in Space Applications: Development and Testing with DSP/AI Benchmarks
Vasileios Leon, Charalampos Bezaitis, George Lentaris, Dimitrios Soudris, Dionysios Reisis, Elissaios-Alexios Papatheofanous, Angelos Kyriakos, Aubrey Dunne, Arne Samuelsson, David Steenari
https://arxiv.org/abs/2506.12968

FPGA & VPU Co-Processing in Space Applications: Development and Testing with DSP/AI Benchmarks
The advent of computationally demanding algorithms and high data rate instruments in new space applications pushes the space industry to explore disruptive solutions for on-board data processing. We examine heterogeneous computing architectures involving high-performance and low-power commercial SoCs. The current paper implements an FPGA with VPU co-processing architecture utilizing the CIF & LCD interfaces for I/O data transfers. A Kintex FPGA serves as our framing processor and heritage accel…

Unraveling Self-Similar Energy Transfer Dynamics: a Case Study for 1D Burgers System
Pritpal Matharu, Bartosz Protas, Tsuyoshi Yoneda
https://arxiv.org/abs/2507.12764

Unraveling Self-Similar Energy Transfer Dynamics: a Case Study for 1D Burgers System
In this work we consider the problem of constructing flow evolutions leading to a self-similar energy cascade consistent with Kolmogorov's statistical theory of turbulence. As a first step in this direction, we focus on the one-dimensional viscous Burgers equation as a toy model. Its solutions exhibiting self-similar behavior, in a precisely-defined sense, are found by framing this problems in terms of PDE-constrained optimization. The main physical parameters are the time window over which sel…

Social and Political Framing in Search Engine Results
Amrit Poudel, Tim Weninger
https://arxiv.org/abs/2507.13325 https://arxiv.org/p…

Social and Political Framing in Search Engine Results
Search engines play a crucial role in shaping public discourse by influencing how information is accessed and framed. While prior research has extensively examined various dimensions of search bias -- such as content prioritization, indexical bias, political polarization, and sources of bias -- an important question remains underexplored: how do search engines and ideologically-motivated user queries contribute to bias in search results. This study analyzes the outputs of major search engines u…

Mapping Students' AI Literacy Framing and Learning through Reflective Journals
Ashish Hingle, Aditya Johri
https://arxiv.org/abs/2508.15112 https://arx…

Mapping Students' AI Literacy Framing and Learning through Reflective Journals
This research paper presents a study of undergraduate technology students' self-reflective learning about artificial intelligence (AI). Research on AI literacy proposes that learners must develop five competencies associated with AI: awareness, knowledge, application, evaluation, and development. It is important to understand what, how, and why students learn about AI so formal instruction can better support their learning. We conducted a reflective journal study where students described their …

Learning from Preferences and Mixed Demonstrations in General Settings
Jason R Brown, Carl Henrik Ek, Robert D Mullins
https://arxiv.org/abs/2508.14027 https://

Learning from Preferences and Mixed Demonstrations in General Settings
Reinforcement learning is a general method for learning in sequential settings, but it can often be difficult to specify a good reward function when the task is complex. In these cases, preference feedback or expert demonstrations can be used instead. However, existing approaches utilising both together are often ad-hoc, rely on domain-specific properties, or won't scale. We develop a new framing for learning from human data, \emph{reward-rational partial orderings over observations}, designed …

The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy
Rishi Bommasani
https://arxiv.org/abs/2506.23123 https://

The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy
Artificial intelligence is humanity's most promising technology because of the remarkable capabilities offered by foundation models. Yet, the same technology brings confusion and consternation: foundation models are poorly understood and they may precipitate a wide array of harms. This dissertation explains how technology and society coevolve in the age of AI, organized around three themes. First, the conceptual framing: the capabilities, risks, and the supply chain that grounds foundation mode…

GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retention
Amro Abdalla, Ismail Shaheen, Dan DeGenaro, Rupayan Mallick, Bogdan Raita, Sarah Adel Bargal
https://arxiv.org/abs/2507.13598

GIFT: Gradient-aware Immunization of diffusion models against malicious Fine-Tuning with safe concepts retention
We present \textbf{GIFT}: a \textbf{G}radient-aware \textbf{I}mmunization technique to defend diffusion models against malicious \textbf{F}ine-\textbf{T}uning while preserving their ability to generate safe content. Existing safety mechanisms like safety checkers are easily bypassed, and concept erasure methods fail under adversarial fine-tuning. GIFT addresses this by framing immunization as a bi-level optimization problem: the upper-level objective degrades the model's ability to represent ha…

Empowering Educators in the Age of AI: An Empirical Study on Creating custom GPTs in Qualitative Research Method education
Qian Huang, Thijs Willems
https://arxiv.org/abs/2507.21074

Empowering Educators in the Age of AI: An Empirical Study on Creating custom GPTs in Qualitative Research Method education
As generative AI (Gen-AI) tools become more prevalent in education, there is a growing need to understand how educators, not just students, can actively shape their design and use. This study investigates how two instructors integrated four custom GPT tools into a Masters-level Qualitative Research Methods course for Urban Planning Policy students. Addressing two key gaps: the dominant framing of students as passive AI users, and the limited use of AI in qualitative methods education. The study…

J4CC, A Frame for Communication Control
Aernout Schmidt, Kunbei Zhang
https://arxiv.org/abs/2508.00485 https://arxiv.org/pdf/2508.00485

J4CC, A Frame for Communication Control
Politics increasingly faces conflicts that appear irreconcilable, where one party's requirements directly contradict those of another. We propose J4CC, a frame for mapping how four forces (Power, Capital, Morality, and Knowledge) influence rule-making. J4CC provides a jargon for analyzing rule-making conversations. Beyond ideas about framing (Lakoff 2004; Rein & Schön, 1996), it draws on ideas from legal theory (Fuller 1967), institutional economics (Coase 1937), anthropology (Douglas 1992), a…

Towards Understanding Decision Problems As a Goal of Visualization Design
Lena Cibulski, Stefan Bruckner
https://arxiv.org/abs/2507.18428 https://arxiv.org…

Towards Understanding Decision Problems As a Goal of Visualization Design
Decision-making is a central yet under-defined goal in visualization research. While existing task models address decision processes, they often neglect the conditions framing a decision. To better support decision-making tasks, we propose a characterization scheme that describes decision problems through key properties of the data, users, and task context. This scheme helps visualization researchers specify decision-support claims more precisely and informs the design of appropriate visual enc…

DPad: Efficient Diffusion Language Models with Suffix Dropout
Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai "Hellen" Li, Yiran Chen
https://arxiv.org/abs/2508.14148

DPad: Efficient Diffusion Language Models with Suffix Dropout
Diffusion-based Large Language Models (dLLMs) parallelize text generation by framing decoding as a denoising process, but suffer from high computational overhead since they predict all future suffix tokens at each step while retaining only a small fraction. We propose Diffusion Scratchpad (DPad), a training-free method that restricts attention to a small set of nearby suffix tokens, preserving fidelity while eliminating redundancy. DPad integrates two strategies: (i) a sliding window, which mai…

Geopolitical Parallax: Beyond Walter Lippmann Just After Large Language Models
Mehmet Can Yavuz, Humza Gohar Kabir, Aylin \"Ozkan
https://arxiv.org/abs/2508.19492 https://

Geopolitical Parallax: Beyond Walter Lippmann Just After Large Language Models
Objectivity in journalism has long been contested, oscillating between ideals of neutral, fact-based reporting and the inevitability of subjective framing. With the advent of large language models (LLMs), these tensions are now mediated by algorithmic systems whose training data and design choices may themselves embed cultural or ideological biases. This study investigates geopolitical parallax-systematic divergence in news quality and subjectivity assessments-by comparing article-level embeddi…

Challenging Disability and Interaction Norms in XR: Cooling Down the Empathy Machine in Waiting for Hands
Yesica Duarte, Puneet Jain
https://arxiv.org/abs/2507.15481

Challenging Disability and Interaction Norms in XR: Cooling Down the Empathy Machine in Waiting for Hands
Virtual Reality (VR) is often described as the "ultimate empathy machine," framing disability as an experience to be simulated through such technologies, which can reduce disability to a spectacle of pity or inspiration. In response, we present Waiting for Hands (WfH), an interactive eXtended Reality (XR) installation that critiques this logic by: (1) repurposing interaction norms in XR through the creation of Alternative Controllers, and (2) staging an absurd XR performance using the built con…

AIM-Bench: Evaluating Decision-making Biases of Agentic LLM as Inventory Manager
Xuhua Zhao, Yuxuan Xie, Caihua Chen, Yuxiang Sun
https://arxiv.org/abs/2508.11416 https://

AIM-Bench: Evaluating Decision-making Biases of Agentic LLM as Inventory Manager
Recent advances in mathematical reasoning and the long-term planning capabilities of large language models (LLMs) have precipitated the development of agents, which are being increasingly leveraged in business operations processes. Decision models to optimize inventory levels are one of the core elements of operations management. However, the capabilities of the LLM agent in making inventory decisions in uncertain contexts, as well as the decision-making biases (e.g. framing effect, etc.) of th…

Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection
Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, Thomas Pickard, Maggie Mi, Aline Villavicencio
https://arxiv.org/abs/2508.13365

Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection
The recent trend towards utilisation of reasoning models has improved the performance of Large Language Models (LLMs) across many tasks which involve logical steps. One linguistic task that could benefit from this framing is idiomaticity detection, as a potentially idiomatic expression must first be understood before it can be disambiguated and serves as a basis for reasoning. In this paper, we explore how reasoning capabilities in LLMs affect idiomaticity detection performance and examine the …

Sociotechnical Imaginaries of ChatGPT in Higher Education: The Evolving Media Discourse
Yinan Sun, Ali Unlu, Aditya Johri
https://arxiv.org/abs/2508.14692 https://

Sociotechnical Imaginaries of ChatGPT in Higher Education: The Evolving Media Discourse
This study investigates how U.S. news media framed the use of ChatGPT in higher education from November 2022 to October 2024. Employing Framing Theory and combining temporal and sentiment analysis of 198 news articles, we trace the evolving narratives surrounding generative AI. We found that the media discourse largely centered on institutional responses; policy changes and teaching practices showed the most consistent presence and positive sentiment over time. Conversely, coverage of topics su…