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Large language models (LLMs) transfer well to new tasks out-of-the-box simply given a natural language prompt that demonstrates how to perform the task and no additional training. Prompting is a brittle process wherein small modifications…

Computation and Language · Computer Science 2022-11-22 Simran Arora , Avanika Narayan , Mayee F. Chen , Laurel Orr , Neel Guha , Kush Bhatia , Ines Chami , Frederic Sala , Christopher Ré

A pun is a form of wordplay for an intended humorous or rhetorical effect, where a word suggests two or more meanings by exploiting polysemy (homographic pun) or phonological similarity to another word (heterographic pun). This paper…

Computation and Language · Computer Science 2019-09-04 Yanyan Zou , Wei Lu

This paper presents a system which learns to answer questions on a broad range of topics from a knowledge base using few hand-crafted features. Our model learns low-dimensional embeddings of words and knowledge base constituents; these…

Computation and Language · Computer Science 2014-09-05 Antoine Bordes , Sumit Chopra , Jason Weston

By conditioning on natural language instructions, large language models (LLMs) have displayed impressive capabilities as general-purpose computers. However, task performance depends significantly on the quality of the prompt used to steer…

Machine Learning · Computer Science 2023-03-13 Yongchao Zhou , Andrei Ioan Muresanu , Ziwen Han , Keiran Paster , Silviu Pitis , Harris Chan , Jimmy Ba

Wit is a form of rich interaction that is often grounded in a specific situation (e.g., a comment in response to an event). In this work, we attempt to build computational models that can produce witty descriptions for a given image.…

Computation and Language · Computer Science 2018-06-01 Arjun Chandrasekaran , Devi Parikh , Mohit Bansal

Humor recognition has been extensively studied with different methods in the past years. However, existing studies on humor recognition do not understand the mechanisms that generate humor. In this paper, inspired by the incongruity theory,…

Computation and Language · Computer Science 2023-02-09 Yang Liu , Yuexian Hou

Pre-trained language models derive substantial linguistic and factual knowledge from the massive corpora on which they are trained, and prompt engineering seeks to align these models to specific tasks. Unfortunately, existing prompt…

RIPE is a novel deterministic and easily understandable prediction algorithm developed for continuous and discrete ordered data. It infers a model, from a sample, to predict and to explain a real variable $Y$ given an input variable $X \in…

Machine Learning · Statistics 2018-07-13 Vincent Margot , Jean-Patrick Baudry , Frederic Guilloux , Olivier Wintenberger

This report presents Jartege, a tool which allows random generation of unit tests for Java classes specified in JML. JML (Java Modeling Language) is a specification language for Java which allows one to write invariants for classes, and…

Programming Languages · Computer Science 2007-05-23 Catherine Oriat

In question answering requiring common sense, language models (e.g., GPT-3) have been used to generate text expressing background knowledge that helps improve performance. Yet the cost of working with such models is very high; in this work,…

Computation and Language · Computer Science 2023-07-18 Wenya Wang , Vivek Srikumar , Hanna Hajishirzi , Noah A. Smith

Many complex generative systems use languages to create structured objects. We consider a model of random languages, defined by weighted context-free grammars. As the distribution of grammar weights broadens, a transition is found from a…

Disordered Systems and Neural Networks · Physics 2019-04-03 E. DeGiuli

Our goal is to build systems which write code automatically from the kinds of specifications humans can most easily provide, such as examples and natural language instruction. The key idea of this work is that a flexible combination of…

Artificial Intelligence · Computer Science 2019-06-06 Maxwell Nye , Luke Hewitt , Joshua Tenenbaum , Armando Solar-Lezama

Automatic question generation is one of the most challenging tasks of Natural Language Processing. It requires "bidirectional" language processing: firstly, the system has to understand the input text (Natural Language Understanding) and it…

Computation and Language · Computer Science 2022-05-26 Miroslav Blšták , Viera Rozinajová

Previous work on pun generation commonly begins with a given pun word (a pair of homophones for heterographic pun generation and a polyseme for homographic pun generation) and seeks to generate an appropriate pun. While this may enable…

Computation and Language · Computer Science 2022-10-26 Jiao Sun , Anjali Narayan-Chen , Shereen Oraby , Shuyang Gao , Tagyoung Chung , Jing Huang , Yang Liu , Nanyun Peng

We propose a general method for automated word puzzle generation. Contrary to previous approaches in this novel field, the presented method does not rely on highly structured datasets obtained with serious human annotation effort: it only…

Computation and Language · Computer Science 2012-06-05 Balazs Pinter , Gyula Voros , Zoltan Szabo , Andras Lorincz

The article describes a model of automatic analysis of puns, where a word is intentionally used in two meanings at the same time (the target word). We employ Roget's Thesaurus to discover two groups of words which, in a pun, form around two…

Computation and Language · Computer Science 2017-07-19 Elena Mikhalkova , Yuri Karyakin

The cornerstone of cognitive intelligence lies in extracting hidden patterns from observations and leveraging these principles to systematically predict future outcomes. However, current image tokenization methods demonstrate significant…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Junyeob Baek , Hosung Lee , Christopher Hoang , Mengye Ren , Sungjin Ahn

Online conversations include more than just text. Increasingly, image-based responses such as memes and animated gifs serve as culturally recognized and often humorous responses in conversation. However, while NLP has broadened to…

Computation and Language · Computer Science 2021-10-01 Xingyao Wang , David Jurgens

Puns are a form of humorous wordplay that exploits polysemy and phonetic similarity. While LLMs have shown promise in detecting puns, we show in this paper that their understanding often remains shallow, lacking the nuanced grasp typical of…

Computation and Language · Computer Science 2025-09-23 Alessandro Zangari , Matteo Marcuzzo , Andrea Albarelli , Mohammad Taher Pilehvar , Jose Camacho-Collados

What is an effective expression that draws laughter from human beings? In the present paper, in order to consider this question from an academic standpoint, we generate an image caption that draws a "laugh" by a computer. A system that…

Computer Vision and Pattern Recognition · Computer Science 2018-05-31 Kota Yoshida , Munetaka Minoguchi , Kenichiro Wani , Akio Nakamura , Hirokatsu Kataoka