Tootfinder

All became clear once I Derived the answer from the bottom up.
#CellTower 739
➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️ https://www.andrewt.net/puzzles/cell-tower/?p=739

Cell Tower
Find the hidden words in the stack of random letters

This https://arxiv.org/abs/2307.11278 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Novel Dual-Generator Framework for Open-Domain Question Answering
Addressing the intricacies of open-domain question answering (QA) necessitates the extraction of pertinent information from expansive corpora to formulate precise answers. This paper introduces an innovative methodology, termed Generator-Retriever-Generator (GRG), which synergizes document retrieval strategies with advanced large language models (LLMs). The process commences with the LLM generating context-specific documents in response to a posed question. Concurrently, a sophisticated dual-en…

Der Liveblog vom Sonntag
Der ukrainische Präsident Selenskyj bestätigt neue Kämpfe nördlich von Charkiw. Die Armee leiste Widerstand. Im russischen Belgorod ist ein Wohnhaus nach einem Angriff eingestürzt. Der Liveblog zum Nachlesen.
🔗 https://www.

Ukraine-Liveblog: ++ Selenskyj berichtet von Ausweitung der Kämpfe ++
Der ukrainische Präsident Selenskyj bestätigt neue Kämpfe nördlich von Charkiw. Die Armee leiste Widerstand. Im russischen Belgorod ist ein Wohnhaus nach einem Angriff eingestürzt. Der Liveblog zum Nachlesen.

Synthesizing Strongly Equivalent Logic Programs: Beth Definability for Answer Set Programs via Craig Interpolation in First-Order Logic
Jan Heuer, Christoph Wernhard
https://arxiv.org/abs/2402.07696

Synthesizing Strongly Equivalent Logic Programs: Beth Definability for Answer Set Programs via Craig Interpolation in First-Order Logic
We show a projective Beth definability theorem for logic programs under the stable model semantics: For given programs $P$ and $Q$ and vocabulary $V$ (set of predicates) the existence of a program $R$ in $V$ such that $P \cup R$ and $P \cup Q$ are strongly equivalent can be expressed as a first-order entailment. Moreover, our result is effective: A program $R$ can be constructed from a Craig interpolant for this entailment, using a known first-order encoding for testing strong equivalence, whic…

All became clear once I Derived the answer from the bottom up.
#CellTower 739
➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️➡️ https://www.andrewt.net/puzzles/cell-tower/?p=739

Cell Tower
Find the hidden words in the stack of random letters

Differences of Cultures (part 328!)
Me (introvert): Has question for colleague. Goes on slack / matrix / signal. Writes a paragraph explaining the context and reason for the info request. Posts it to the abyss in hopes of an answer.
Sister-in-law (extrovert who works for media company): 1 minute video call with colleague. Remembers to use headset because we were making lunch.

FDA head pushes for mandated lead testing by food manufacturers | The Hill
https://thehill.com/policy/healthcare/4589376-fda-head-pushes-mandated-lead-testing-food-manufacturers/

FDA head pushes for mandated lead testing by food manufacturers
The head of the U.S. Food and Drug Administration (FDA), Dr. Robert Califf, pushed lawmakers on Thursday to pass a bill that would mandate that food manufacturers perform testing for lead in their products that are getting imported into the country from overseas.  Califf’s call to action came while he was answering questions from Rep.…

RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
Yanming Liu, Xinyue Peng, Xuhong Zhang, Weihao Liu, Jianwei Yin, Jiannan Cao, Tianyu Du
https://arxiv.org/abs/2403.06840

RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
Large language models (LLMs) demonstrate exceptional performance in numerous tasks but still heavily rely on knowledge stored in their parameters. Moreover, updating this knowledge incurs high training costs. Retrieval-augmented generation (RAG) methods address this issue by integrating external knowledge. The model can answer questions it couldn't previously by retrieving knowledge relevant to the query. This approach improves performance in certain scenarios for specific tasks. However, if ir…

This https://arxiv.org/abs/2310.14174 has been replaced.
link: https://scholar.google.com/scholar?q=a

An In-Context Schema Understanding Method for Knowledge Base Question Answering
The Knowledge Base Question Answering (KBQA) task aims to answer natural language questions based on a given knowledge base. Recently, Large Language Models (LLMs) have shown strong capabilities in language understanding and can be used to solve this task. In doing so, a major challenge for LLMs is to overcome the immensity and heterogeneity of knowledge base schemas.Existing methods bypass this challenge by initially employing LLMs to generate drafts of logic forms without schema-specific deta…

Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini
https://arxiv.org/abs/2404.06186

Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
Crossword puzzles are popular linguistic games often used as tools to engage students in learning. Educational crosswords are characterized by less cryptic and more factual clues that distinguish them from traditional crossword puzzles. Despite there exist several publicly available clue-answer pair databases for traditional crosswords, educational clue-answer pairs datasets are missing. In this article, we propose a methodology to build educational clue generation datasets that can be used to …