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A machine-learning-assisted progressive digit-randomness screening framework for detecting non-random patterns in raw numerical research data
Announce Type: new Abstract: Raw numerical datasets remain less systematically examined in integrity screening than images, plagiarism, or summary-statistic inconsistencies. We developed the Fabrication-risk Digit Randomness Screening model (FDRS), a statistical and machine-learning framework for detecting non-random digit-pattern irregularities in numerical research data. FDRS integrates single- and joint-decimal-digit tests, Cramer's V, entropy metrics, Kullback-Leibler divergence,...
World Cup Rank: The 50 best players in the 2026 to...
As silly as it might seem, whoever wins the 2026 World Cup is going to have an outsize impact on who the soccer world decides is the best soccer player in the world. Sure, there are 11 players on each team. And OK, fine, the best players have possession of the ball for only about three total minutes every match.
The Granularity Gap: A Multi-Dimensional Longitudinal Audit of Sycophancy in Gemini Models
arXiv:2606.05183v1 Announce Type: new Abstract: Large language models are increasingly deployed as high-stakes advisors, yet standard alignment benchmarks treat sycophancy as a binary failure mode. We introduce the Granularity Gap: coarse binary metrics mask substantial social-compliance behaviors where models capitulate to user framing, validate questionable premises, or soften factual corrections without producing overtly false outputs. We evaluate six Gemini variants across generations...
Using Large Language Models to Support High Volume Application Review for an Undergraduate Research Program
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FrontierCode
Introducing FrontierCode Raising the bar from correctness to quality Today’s coding benchmarks have established that models can write correct code. But as AI-generated code becomes the dominant path to production, correctness is now table stakes. The question that we should be asking is: can models actually write good code?
Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps
arXiv:2605.17554v2 Announce Type: replace Abstract: Frontier deep research agents (DRAs) plan a research task, synthesize across documents, and return a structured deliverable on demand. They are being deployed in enterprise workflows faster than they are being evaluated. Existing benchmarks measure factual recall, single-hop QA, or generic agentic skill, missing the multi-document, decision-grade work DRAs are deployed to produce.
Anchored, Not Graded: Vision-Language Models Fail at Slant-from-Texture Perception
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Ahoy, DECmate II the little PDP-8 that could
Now, that's a lot of word processing. But under the hood it's still at least PDP-8 adjacent, even considering its oddities and incompatibilities, and you can make it do many of the things a full-size Eight can. We'll take this basic unit, convert the floppy drives to solid state, tap the video output, and put it through its paces.
Hurricanes even the series: Grades, big questions ...
Asking why the Carolina Hurricanes or Vegas Golden Knights feel the need to get a lead at any point before the final 10 seconds of the third period might be one of the greatest philosophical questions of our lifetime The Hurricanes had a pair of two-goal leads before the Golden Knights came back to level the game in the third period. That's when the Hurricanes struck twice in the third period for a 5-3 win in Game 4 of the Stanley Cup Final against the Golden Knights on Tuesday to tie the...
Big 12 preview: Despite the drama, Texas Tech stil...
Back when the NIL era was in its nascent stages, with a new Big 12 and a 12-team College Football Playoff on the way, I wondered if there was room for the emergence of a Clemson-style dynasty from a conference known primarily for the endless number of close games. If some team could craft a recruiting boost from both solid spending and sustained success, perhaps they could ride that to a series of conference titles and, perhaps, even playoff runs? I admittedly didn't have a specific team in...