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Wordle is an online word puzzle game that gained viral popularity in January 2022. The goal is to guess a hidden five letter word. After each guess, the player gains information about whether the letters they guessed are present in the…

Computation and Language · Computer Science 2022-02-02 Benton J. Anderson , Jesse G. Meyer

In this paper, we describe adaptation of a simple word guessing game that occupied the hearts and minds of people around the world. There are versions for all three Baltic countries and even several versions of each. We specifically pay…

Computation and Language · Computer Science 2022-10-05 Matīss Rikters , Sanita Reinsone

Wordle is a single-player word-guessing game where the goal is to discover a secret word $w$ that has been chosen from a dictionary $D$. In order to discover $w$, the player can make at most $\ell$ guesses, which must also be words from…

Computational Complexity · Computer Science 2022-05-17 Daniel Lokshtanov , Bernardo Subercaseaux

At the beginning of 2022, a simplistic word-guessing game took the world by storm and was further adapted to many languages beyond the original English version. In this paper, we examine the strategies of daily word-guessing game players…

Computation and Language · Computer Science 2024-12-16 Matīss Rikters , Sanita Reinsone

We explore automatically predicting which Wordle games Reddit users find amusing. We scrape approximately 80k reactions by Reddit users to Wordle games from Reddit, classify the reactions as expressing amusement or not using OpenAI's…

Computation and Language · Computer Science 2025-06-09 Ronaldo Luo , Gary Liang , Cindy Liu , Adam Kabbara , Minahil Bakhtawar , Kina Kim , Michael Guerzhoy

Formal models of games help us account for and predict behavior, leading to more robust and innovative designs. While the games research community has proposed many formalisms for both the "game half" (game models, game description…

Programming Languages · Computer Science 2017-03-17 Chris Martens , Matthew A. Hammer

Most languages use the relative order between words to encode meaning relations. Languages differ, however, in what orders they use and how these orders are mapped onto different meanings. We test the hypothesis that, despite these…

Computation and Language · Computer Science 2015-10-13 Daniel Gildea , T. Florian Jaeger

Wordle is a very popular word game that is owned by the New York Times. We can design parameterized strategies for solving Wordle, based on probabilistic, statistical, and information-theoretical information about the games. The strategies…

Artificial Intelligence · Computer Science 2022-05-24 Chao-Lin Liu

English speakers use probabilistic phrases such as likely to communicate information about the probability or likelihood of events. Communication is successful to the extent that the listener grasps what the speaker means to convey and, if…

Neurons and Cognition · Quantitative Biology 2023-11-28 Laurence T Maloney , Maria F Dal Martello , Vivian Fei , Valerie Ma

We adopt the distribution and expectation of guessing times in game Wordle as metrics to predict the difficulty of words and explore their influence factors. In order to predictthe difficulty distribution, we use Monte Carlo to simulate the…

Computation and Language · Computer Science 2023-05-08 Beibei Liu , Yuanfang Zhang , Shiyu Zhang

Understanding human behaviour in decision problems and strategic interactions has wide-ranging applications in economics, psychology, and artificial intelligence. Game theory offers a robust foundation for this understanding, based on the…

Computer Science and Game Theory · Computer Science 2024-07-16 Valerio Capraro , Roberto Di Paolo , Matjaz Perc , Veronica Pizziol

Traditional linguistic theories have largely regard language as a formal system composed of rigid rules. However, their failures in processing real language, the recent successes in statistical natural language processing, and the findings…

Computation and Language · Computer Science 2020-12-02 Shuiyuan Yu , Chunshan Xu , Haitao Liu

Naming game simulates the process of naming an objective by a population of agents organized in a certain communication network topology. By pair-wise iterative interactions, the population reaches a consensus state asymptotically. In this…

Social and Information Networks · Computer Science 2014-12-19 Yang Lou , Guanrong Chen

Languages are shaped by the inductive biases of their users. Using a classical referential game, we investigate how artificial languages evolve when optimised for inductive biases in humans and large language models (LLMs) via Human-Human,…

Computation and Language · Computer Science 2025-05-29 Tom Kouwenhoven , Max Peeperkorn , Roy de Kleijn , Tessa Verhoef

Compositionality is a hallmark of human language that not only enables linguistic generalization, but also potentially facilitates acquisition. When simulating language emergence with neural networks, compositionality has been shown to…

Computation and Language · Computer Science 2023-05-23 Emily Cheng , Mathieu Rita , Thierry Poibeau

Recent advances in Large Language Models (LLMs) have spurred interest in designing LLM-based agents for tasks that involve interaction with human and artificial agents. This paper addresses a key aspect in the design of such agents:…

Machine Learning · Computer Science 2025-10-28 Eilam Shapira , Omer Madmon , Reut Apel , Moshe Tennenholtz , Roi Reichart

Wordle, a word guessing game rose to global popularity in the January of 2022. The goal of the game is to guess a five-letter English word within six tries. Each try provides the player with hints by means of colour changing tiles which…

Computation and Language · Computer Science 2024-02-07 Nisansa de Silva

Wordle is a popular, online word game offered by the New York Times (nytimes.com). Currently there are some 2 million players of the English version worldwide. Players have 6 attempts to guess the daily word (target word) and after each…

History and Overview · Mathematics 2023-10-10 James P. Dilger

The recent popularity of Wordle has revived interest in guessing games. We develop a general method for finding optimal strategies for guessing games while avoiding an exhaustive search. Our main contributions are several theorems that…

Artificial Intelligence · Computer Science 2023-05-17 Michael Cunanan , Michael Thielscher

While NLP models often seek to capture cognitive states via language, the validity of predicted states is determined by comparing them to annotations created without access the cognitive states of the authors. In behavioral sciences,…

Computation and Language · Computer Science 2025-02-20 Vasudha Varadarajan , Syeda Mahwish , Xiaoran Liu , Julia Buffolino , Christian C. Luhmann , Ryan L. Boyd , H. Andrew Schwartz
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