Tootfinder

Ukraine: Zwei Tote bei russischem Angriff auf Charkiw
Bei einem russischen Angriff auf die zweitgrößte ukrainische Stadt Charkiw sind nach Angaben des Gouverneurs der Region zwei Menschen getötet worden. Mindestens sieben Personen seien verletzt worden, teilt Oleh Synjehubow auf dem Kurznachrichtendienst Telegram mit. Ein Wohnhochhaus wurde laut dem staatlichen Fernsehsender Suspilne beschädigt und ein Geschäft ging in Flamme…
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Ukraine-Liveblog: ++ Vier Tote bei Doppelangriff auf Saporischschja ++
Bei einem russischen Angriff auf die Stadt Saporischschja sind nach ukrainischen Angaben mindestens vier Menschen getötet worden. Bei einem Angriff auf Charkiw starben zwei weitere Menschen. Alle Entwicklungen im Liveblog.

Wow, the answers to @… 's question
(essentially, "tell me a possibly-useless programming language that I should learn to open my mind")
The answers are so great; they make me want to take a five year sabbatical and learn them all, from APL to Processing to Forth and beyond

Generating Probabilistic Scenario Programs from Natural Language
Karim Elmaaroufi, Devan Shankar, Ana Cismaru, Marcell Vazquez-Chanlatte, Alberto Sangiovanni-Vincentelli, Matei Zaharia, Sanjit A. Seshia
https://arxiv.org/abs/2405.03709

Generating Probabilistic Scenario Programs from Natural Language
For cyber-physical systems (CPS), including robotics and autonomous vehicles, mass deployment has been hindered by fatal errors that occur when operating in rare events. To replicate rare events such as vehicle crashes, many companies have created logging systems and employed crash reconstruction experts to meticulously recreate these valuable events in simulation. However, in these methods, "what if" questions are not easily formulated and answered. We present ScenarioNL, an AI System for crea…

Wow, the answers to @… 's question
(essentially, "tell me a possibly-useless programming language that I should learn to open my mind")
The answers are so great; they make me want to take a five year sabbatical and learn them all, from APL to Processing to Forth and beyond

Prequestioning Enhances Undergraduate Students Learning in an Environmental Chemistry Course
Steven C. PanNational University of Singapore, Jia Yi HanNational University of Singapore, Fun Man FungNational University of Singapore
https://arxiv.org/abs/2403.02788

Prequestioning Enhances Undergraduate Students Learning in an Environmental Chemistry Course
Prequestioning is an instructional strategy that involves taking practice tests on to-be-learned information followed by studying the correct answers. Despite promising results in laboratory studies, it has rarely been examined in authentic educational settings. The current study investigated the pedagogical benefits of prequestioning as a learning intervention in an undergraduate environmental chemistry course. In each of 10 lecture sessions, the course lecturer administered four prequestions …

Ukraine meldet vier Verletzte bei russischen Angriffen auf Region Charkiw
Bei russischen Angriffen auf die westukrainische Region Charkiw sind nach Angaben örtlicher Behörden vier Menschen verletzt worden. Drei Männer und eine Frau im Alter von über 50 Jahren seien bei Artillerie- und Raketenangriffen auf verschiedene Städte und Dörfer verletzt worden, teilte Gouverneur Oleg Sinegubow in Onlinediensten mit.
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Ukraine-Liveblog: ++ Makeiev schließt Verwicklung in Anschlag aus ++
Der ukrainische Botschafter Makeiev hat eine Verwicklung seines Landes an dem Anschlag bei Moskau ausgeschlossen. Die russische Flugabwehr meldet die Zerstörung von 18 "fliegenden Zielen" über Belgorod. Alle Entwicklungen im Liveblog.

Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Jiawei Zang, Matija Medvidovi\'c, Dominik Kiese, Domenico Di Sante, Anirvan M. Sengupta, Andrew J. Millis
https://arxiv.org/abs/2403.15372

Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function
Characterizing complex many-body phases of matter has been a central question in quantum physics for decades. Numerical methods built around approximations of the renormalization group (RG) flow equations have offered reliable and systematically improvable answers to the initial question -- what simple physics drives quantum order and disorder? The flow equations are a very high dimensional set of coupled nonlinear equations whose solution is the two particle vertex function, a function of thre…

Language Models as Science Tutors
Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodr\'iguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen

Language Models as Science Tutors
NLP has recently made exciting progress toward training language models (LMs) with strong scientific problem-solving skills. However, model development has not focused on real-life use-cases of LMs for science, including applications in education that require processing long scientific documents. To address this, we introduce TutorEval and TutorChat. TutorEval is a diverse question-answering benchmark consisting of questions about long chapters from STEM textbooks, written by experts. TutorEval…

Language Models as Science Tutors
Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodr\'iguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen

Language Models as Science Tutors
NLP has recently made exciting progress toward training language models (LMs) with strong scientific problem-solving skills. However, model development has not focused on real-life use-cases of LMs for science, including applications in education that require processing long scientific documents. To address this, we introduce TutorEval and TutorChat. TutorEval is a diverse question-answering benchmark consisting of questions about long chapters from STEM textbooks, written by experts. TutorEval…