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Related papers: Corrigendum to "Counting Database Repairs that Sat…

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This note fills a gap in the article with title above [1]. We provide the proof of Equation (82) of Lemma 5 in [1] and thereby complete its power counting analysis with a more precise next-to-leading-order estimate.

High Energy Physics - Theory · Physics 2017-12-21 Joseph Ben Geloun , Vincent Rivasseau

Consistent answers to a query from a possibly inconsistent database are answers that are simultaneously retrieved from every possible repair of the database. Repairs are consistent instances that minimally differ from the original…

Databases · Computer Science 2021-10-20 Leopoldo Bertossi

Large language models (LLMs) have shown remarkable capabilities in various natural language processing tasks, yet they often struggle with maintaining factual accuracy, particularly in knowledge-intensive domains like healthcare. This study…

Computation and Language · Computer Science 2024-11-01 Hieu Tran , Junda Wang , Yujan Ting , Weijing Huang , Terrence Chen

This is a short Commentary on Trinh & Le (2018) ("A Simple Method for Commonsense Reasoning") that outlines three serious flaws in the cited paper and discusses why data-driven approaches cannot be considered as serious models for the…

Artificial Intelligence · Computer Science 2018-10-02 Walid S. Saba

Math Word Problem (MWP) solving presents a challenging task in Natural Language Processing (NLP). This study aims to provide MWP solvers with a more diverse training set, ultimately improving their ability to solve various math problems. We…

Computation and Language · Computer Science 2024-05-02 Gulsum Yigit , Mehmet Fatih Amasyali

Explainability has become a crucial concern in today's world, aiming to enhance transparency in machine learning and deep learning models. Information retrieval is no exception to this trend. In existing literature on explainability of…

Information Retrieval · Computer Science 2026-04-15 Bhavik Chandna , Procheta Sen

We investigate the internal behavior of Transformer-based Large Language Models (LLMs) when they generate factually incorrect text. We propose modeling factual queries as constraint satisfaction problems and use this framework to…

Computation and Language · Computer Science 2024-04-18 Mert Yuksekgonul , Varun Chandrasekaran , Erik Jones , Suriya Gunasekar , Ranjita Naik , Hamid Palangi , Ece Kamar , Besmira Nushi

Newcomers to ACL2 are sometimes surprised that ACL2 rejects formulas that they believe should be theorems, such as (REVERSE (REVERSE X)) = X. Experienced ACL2 users will recognize that the theorem only holds for intended values of X, and…

Logic in Computer Science · Computer Science 2023-11-16 Ruben Gamboa , Panagiotis Manolios , Eric Smith , Kyle Thompson

In search scenarios, user experience can be hindered by erroneous queries due to typos, voice errors, or knowledge gaps. Therefore, query correction is crucial for search engines. Current correction models, usually small models trained on…

Computation and Language · Computer Science 2024-12-18 Kepu Zhang , Zhongxiang Sun , Xiao Zhang , Xiaoxue Zang , Kai Zheng , Yang Song , Jun Xu

In this note we document a gap in an argument in the above paper, and point to new work in the literature giving a complete proof of the main result.

Dynamical Systems · Mathematics 2026-02-24 Jorge Fariña-Asategui , Rafe Jones , Santiago Radi

We address two errors made in our paper arXiv:1511.03423. The most significant error is in Theorem 1.1. We repair this error, and show that the main result, Theorem 2.5 of arXiv:1511.03423, is true. The second error is in one of our…

Functional Analysis · Mathematics 2018-08-28 Hun Hee Lee , Ebrahim Samei , Nico Spronk

While large language models (LLMs) have shown remarkable capabilities to generate coherent text, they suffer from the issue of hallucinations -- factually inaccurate statements. Among numerous approaches to tackle hallucinations, especially…

Computation and Language · Computer Science 2025-06-25 Juraj Vladika , Ihsan Soydemir , Florian Matthes

The proof of Theorem 11 of the paper M. Scheepers, Remarks on countable tightness, Topology and its Applications 161 (2014), 407 - 432 relies on Lemma 10 of that paper. The offered proof of Lemma 10 had shortcomings, and I was recently…

General Topology · Mathematics 2015-10-01 Marion Scheepers

We exhibit how the Rasiowa-Sikorski Lemma simplifies, in a sense, proofs of results that make use of the technique known as back-and-forth, often resulting in not very illustrative arguments. The first two sections seek to show one simple…

Logic · Mathematics 2020-08-18 Tonatiuh Matos-Wiederhold

Operational consistent query answering (CQA) is a recent framework for CQA based on revised definitions of repairs, which are built by applying a sequence of operations (e.g., fact deletions) starting from an inconsistent database until we…

Databases · Computer Science 2025-08-25 Marco Calautti , Ester Livshits , Andreas Pieris , Markus Schneider

We explicitly fix a mistake in a preliminary statement of our previous paper on the conductor at a multiplanar singularity. The correction is not immediate and, though the mistake does not affect correctness of the subsequent results, the…

Commutative Algebra · Mathematics 2019-03-05 Alessandro De Paris , Ferruccio Orecchia

We point out a mistake in the statement of Corollary 2 in R. C. Alperin's paper on Selberg's lemma.

Group Theory · Mathematics 2023-08-30 Jean Chessa , Luisa Paoluzzi

The substitution lemma is a renowned theorem within the realm of lambda-calculus theory and concerns the interactional behaviour of the metasubstitution operation. In this work, we augment the lambda-calculus's grammar with an uninterpreted…

Logic in Computer Science · Computer Science 2023-09-26 Maria J. D. Lima , Flávio L. C. de Moura

In logical reasoning, it is often the case that only some of a collection of assumptions are needed to reach a conclusion. A strengthening lemma is an assertion that a given conclusion is independent in this sense of a particular…

Logic in Computer Science · Computer Science 2017-05-26 Dawn Michaelson

Large Language Models (LLMs) increasingly produce natural language explanations alongside their predictions, yet it remains unclear whether these explanations reference predictive cues present in the input text. In this work, we present an…

Computation and Language · Computer Science 2026-04-03 Avinash Patil