Tootfinder

Google says it is "taking swift action" to remove AI Overviews on certain queries "where appropriate under our content policies" (Kylie Robison/The Verge)
https://www.theverge.com/2024/5/24/24164119/google-ai-overview-…

Google scrambles to manually remove weird AI answers in search
The company confirmed it is ‘taking swift action’ to remove some of the AI tool’s bizarre responses.

Google scrambles to manually remove weird AI answers in search
https://www.theverge.com/2024/5/24/24164119/google-ai-overview-mistakes-search-race-openai

This https://arxiv.org/abs/2210.02498 has been replaced.
link: https://scholar.google.com/scholar?q=a

Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Explainable question answering systems should produce not only accurate answers but also rationales that justify their reasoning and allow humans to check their work. But what sorts of rationales are useful and how can we train systems to produce them? We propose a new style of rationale for open-book question answering, called \emph{markup-and-mask}, which combines aspects of extractive and free-text explanations. In the markup phase, the passage is augmented with free-text markup that enables…

This https://arxiv.org/abs/2311.03326 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Non-convex potential games for finding global solutions to sensor network localization
Sensor network localization (SNL) problems require determining the physical coordinates of all sensors in a network. This process relies on the global coordinates of anchors and the available measurements between non-anchor and anchor nodes. Attributed to the intrinsic non-convexity, obtaining a globally optimal solution to SNL is challenging, as well as implementing corresponding algorithms. In this paper, we formulate a non-convex multi-player potential game for a generic SNL problem to inves…

Google scrambles to manually remove weird AI answers in search
https://www.theverge.com/2024/5/24/24164119/google-ai-overview-mistakes-search-race-openai

Modern #AI text generators create randomized output with no prior planning. They resist to be quality-checked by tools and processes established in the software industry.
Given this, the results are amazing. However, companies are selling the idea that these assistants will do quality checking themselves soon™.
This is mass delusion. But hey, the perks for managers/investors are worthwhi…

This https://arxiv.org/abs/2312.02885 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Asymptotics of immaculate line bundles on smooth toric Deligne-Mumford stacks
A line bundle is immaculate if its cohomology vanishes in every dimension. We give a criterion for when a smooth toric Deligne-Mumford stack has infinitely many immaculate line bundles. This answers positively a question of Borisov and Wang. As a byproduct, we describe the asymptotic behaviour of the collection of immaculate line bundles.

This https://arxiv.org/abs/2402.09494 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Can AI and humans genuinely communicate?
Can AI and humans genuinely communicate? In this article, after giving some background and motivating my proposal (sections 1 to 3), I explore a way to answer this question that I call the "mental-behavioral methodology" (sections 4 and 5). This methodology follows the following three steps: First, spell out what mental capacities are sufficient for human communication (as opposed to communication more generally). Second, spell out the experimental paradigms required to test whether a behavior …

This https://arxiv.org/abs/2402.09216 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of using Large Language Models (LLMs) to author Intelligent Tutoring Systems. A common pitfall of LLMs is their straying from desired pedagogical strategies such as leaking the answer to the student, and in general, providing no guarantees. We posit that while LLMs with certain guardrails can take the place of subject exp…

This https://arxiv.org/abs/2312.09441 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A question about generalized nonvanishing
Let $(X,Δ)$ be a projective, $\mathbb{Q}$-factorial log canonical pair and let $L$ be a pseudoeffective $\mathbb{Q}$-divisor on $X$ such that $K_X + Δ+ L$ is pseudoeffective. Is there an effective $\mathbb{Q}$-divisor $M$ on $X$ such that $K_X + Δ+ L$ is numerically equivalent to $M$? We are not aware of any counterexamples, but the answer is not completely clear even in the case of surfaces.