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Related papers: Do you precondition on the left or on the right?

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In recent work, we introduced a new semantics for conditionals, covering a large class of what we call preconditionals. In this paper, we undertake an axiomatic study of preconditionals and subclasses of preconditionals. We then prove that…

Logic · Mathematics 2025-08-29 Wesley H. Holliday

Most language models (LMs) are trained and applied in an autoregressive left-to-right fashion, assuming that the next token only depends on the preceding ones. However, this assumption ignores the potential benefits of using the full…

Computation and Language · Computer Science 2023-03-14 Anh Nguyen , Nikos Karampatziakis , Weizhu Chen

In this paper we study selected argument forms involving counterfactuals and indicative conditionals under uncertainty. We selected argument forms to explore whether people with an Eastern cultural background reason differently about…

Artificial Intelligence · Computer Science 2017-03-10 Niki Pfeifer , Hiroshi Yama

Side preference is a critical behavior in conflict handling, and here the behavior is investigated with pedestrian trajectories in circle antipode experiments that own both conflicting and symmetrical participant situations. In the series…

Physics and Society · Physics 2019-12-24 Yao Xiao , Ziyou Gao , Rui Jiang , Qinxia Huang , Hai Yang

The aim of this paper is to show the relationship that lies in the fact of a person being right or left handed, in their skateboarding stance. Starting from the null hypothesis that there is no relationship, the Pearson's X^2 with Yates…

Applications · Statistics 2023-10-19 Alexandre Mascarenhas

Large Language Models (LLMs) have gained significant popularity for their application in various everyday tasks such as text generation, summarization, and information retrieval. As the widespread adoption of LLMs continues to surge, it…

Computation and Language · Computer Science 2024-03-22 Pagnarasmey Pit , Xingjun Ma , Mike Conway , Qingyu Chen , James Bailey , Henry Pit , Putrasmey Keo , Watey Diep , Yu-Gang Jiang

Starting with a likelihood or preference order on worlds, we extend it to a likelihood ordering on sets of worlds in a natural way, and examine the resulting logic. Lewis earlier considered such a notion of relative likelihood in the…

Artificial Intelligence · Computer Science 2016-08-31 J. Y. Halpern

In the absence of abundant reliable annotations for challenging tasks and contexts, how can we expand the frontier of LLM capabilities with potentially wrong answers? We focus on two research questions: (1) Can LLMs generate reliable…

Computation and Language · Computer Science 2024-10-16 Jihan Yao , Wenxuan Ding , Shangbin Feng , Lucy Lu Wang , Yulia Tsvetkov

The binary products of right, left or double division in semigroups that are semilattices of groups give interesting groupoid structures that are in one to one correspondence with semigroups that are semilattices of groups. This work is…

Rings and Algebras · Mathematics 2019-04-03 R. A. R. Monzo

Starting with a likelihood or preference order on worlds, we extend it to a likelihood ordering on sets of worlds in a natural way, and examine the resulting logic. Lewis (1973) earlier considered such a notion of relative likelihood in the…

Artificial Intelligence · Computer Science 2014-07-29 Joseph Y. Halpern

We associate lattices to the sets of unions and intersections of left and right quotients of a regular language. For both unions and intersections, we show that the lattices we produce using left and right quotients are dual to each other.…

Formal Languages and Automata Theory · Computer Science 2023-09-07 Jason Bell , Daniel Smertnig , Hellis Tamm

Positional bias in binary question answering occurs when a model systematically favors one choice over another based solely on the ordering of presented options. In this study, we quantify and analyze positional bias across five large…

Computation and Language · Computer Science 2025-07-02 Tiziano Labruna , Simone Gallo , Giovanni Da San Martino

This paper is about equality of proofs in which a binary predicate formalizing properties of equality occurs, besides conjunction and the constant true proposition. The properties of equality in question are those of a preordering relation,…

Logic · Mathematics 2016-04-19 K. Dosen , Z. Petric

Preconditions provide a form of logical connection between events that explains why some events occur together and information that is complementary to the more widely studied relations such as causation, temporal ordering, entailment, and…

Most research on natural language processing treats bias as an absolute concept: Based on a (probably complex) algorithmic analysis, a sentence, an article, or a text is classified as biased or not. Given the fact that for humans the…

Computation and Language · Computer Science 2022-10-14 Alonso Palomino , Martin Potthast , Khalid Al-Khatib , Benno Stein

Machine learning can impact people with legal or ethical consequences when it is used to automate decisions in areas such as insurance, lending, hiring, and predictive policing. In many of these scenarios, previous decisions have been made…

Machine Learning · Statistics 2018-03-09 Matt J. Kusner , Joshua R. Loftus , Chris Russell , Ricardo Silva

When a student fails an exam, do we tend to blame their effort or the test's difficulty? Attribution, defined as how reasons are assigned to event outcomes, shapes perceptions, reinforces stereotypes, and influences decisions. Attribution…

Computation and Language · Computer Science 2026-04-30 Chahat Raj , Mahika Banerjee , Jinhao Pan , Aylin Caliskan , Antonios Anastasopoulos , Ziwei Zhu

Many legal cases require decisions about causality, responsibility or blame, and these may be based on statistical data. However, causal inferences from such data are beset by subtle conceptual and practical difficulties, and in general it…

Statistics Theory · Mathematics 2020-04-28 Philip Dawid , Monica Musio , Rossella Murtas

We study abductive, causal, and non-causal conditionals in indicative and counterfactual formulations using probabilistic truth table tasks under incomplete probabilistic knowledge (N = 80). We frame the task as a probability-logical…

Artificial Intelligence · Computer Science 2017-03-14 Niki Pfeifer , Leena Tulkki

Possibility theory offers a framework where both Lehmann's "preferential inference" and the more productive (but less cautious) "rational closure inference" can be represented. However, there are situations where the second inference does…

Artificial Intelligence · Computer Science 2013-02-18 Salem Benferhat , Didier Dubois , Henri Prade
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