Topical Diversity
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How Proposal Novelty, Topical Diversity, and Theory-Practice Balance Shape Scholarly Outcomes in Funded Education Research
arXiv:2606.01127v1 Announce Type: new Abstract: Education research occupies a distinctive position in public science because it is expected to advance scholarly knowledge while also informing learning, teaching, participation, and workforce development. This study examines how the intellectual characteristics of NSF-funded education proposals are associated with the subsequent academic performance of funded scholars. Linking 8,715 NSF education awards from 1990 to 2020 with 84,519...
C++: The Programming Language back cover raises questions not answered by front
A little while ago, we considered how the cover of the book C++: The Programming Language raises questions not answered by the cover, since the cover illustration for a book putatively about the C++ programming language shows code written in JavaScript.¹ But there’s also a question raised by the back cover. According to the blurb for the book, The topics included in it are of utmost significance and are bound to provide incredible insights to students.
Federating Governance: How Community Rules Scale with Mastodon Instances
Announce Type: replace Abstract: The rise of decentralized social media platforms like Mastodon and Bluesky highlights the challenge of scaling self-governance and moderation. As communities grow, they face new issues that demand increasingly complex governance structures. However, as moderation is mainly volunteer-driven, there is limited formal guidance on how community rules and moderation practices should evolve with growth.
Federating Governance: How Community Rules Scale with Mastodon Instances
arXiv:2606.05069v1 Announce Type: new Abstract: The rise of decentralized social media platforms like Mastodon and Bluesky highlights the challenge of scaling self-governance and moderation. As communities grow, they face new issues that demand increasingly complex governance structures. However, as moderation is mainly volunteer-driven, there is limited formal guidance on how community rules and moderation practices should evolve with growth.
KletterMix: Climbing Toward High-Quality German Pretraining Data
arXiv:2606.03773v1 Announce Type: new Abstract: High-quality pretraining data is a central ingredient in modern language models, but German-language resources remain far less developed than their English counterparts: they are often smaller, less carefully curated, weakly documented, and rarely validated through controlled training experiments. We introduce KletterMix, a high-quality German corpus for language model pretraining and annealing, designed as a reusable dataset artifact for the...
Calling all budding storytellers living with disability
ABC is looking for storytellers for International Day of People with Disability Wed 10 Jun 2026 at 4:51am Are you an emerging content maker with disability? Do you have a burning story that you have always wanted to research and explore? The ABC is partnering with International Day of People with Disability (IDPwD) to recognise the 5.5 million Australians with disability.
The AI Epistemic Deference Index: A Continuous Measure of Sycophancy
Announce Type: new Abstract: Current AI models frequently exhibit epistemic sycophancy, endorsing claims to agree with a user. Existing evaluations typically measure this either by assessing what it takes to make a model shift a binary endorsement or by eliciting an explicit probability in a proposition. However, much user-facing sycophantic behavior is demonstrated through shifts in graded support expressed through ordinary language.
Changing topic bias in biomedical science maps by linking documents through alternative data sources: policy documents, patents, authors, Facebook, and Twitter
arXiv:2412.07550v4 Announce Type: replace Abstract: Traditional science maps visualize topics by clustering documents within a network, but they are inherently biased toward clustering certain topics over others. If these topics could be chosen, then the science maps could be tailored for different needs. In this paper, we explore the extent to which the topic bias of a science map can be changed by choosing different data sources to build the document network.
Characterizing Web Search in The Age of Generative AI
arXiv:2510.11560v2 Announce Type: replace Abstract: The advent of LLMs has given rise to generative search, a new search paradigm in which LLMs retrieve information from the web related to a query and synthesize it into a single, coherent response. This paradigm differs fundamentally from traditional web search, where results are returned as a ranked list of independent web pages. In this paper, we ask: Along what dimensions does generative search differ from traditional search?
Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities
arXiv:2505.24621v3 Announce Type: replace Abstract: Recent advancements in large language models (LLMs) have transformed natural language understanding and generation, leading to extensive benchmarking across diverse tasks. However, cryptanalysis - a critical area for data security and its connection to LLMs' generalization abilities - remains underexplored in LLM evaluations. To address this gap, we evaluate the cryptanalytic potential of state-of-the-art LLMs on ciphertexts produced by a...