Concept

ChatGPT

Related publications (33)

Classic image-restoration algorithms use a variety of priors, either implicitly or explicitly. Their priors are hand-designed and their corresponding weights are heuristically assigned. Hence, deep learning methods often produce superior image restoration ...

2022

Impersonating Chatbots in a Code Review Exercise to Teach Software Engineering Best Practices

Denis Gillet, Maria Jesus Rodriguez Triana, Juan Carlos Farah, Sandy Ingram, Vandit Sharma

Over the past decade, the use of chatbots for educational purposes has gained considerable traction. A similar trend has been observed in social coding platforms, where automated agents support software developers with tasks such as performing code reviews ...

IEEE2022

Key Qualities of Conversational Chatbots - the PEACE Model

Pearl Pu Faltings, Ekaterina Svikhnushina

Open-domain chatbots engage in natural conversations with the user to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of such chatbots most correspond to users' ...

ASSOC COMPUTING MACHINERY2021

Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems

Boi Faltings, Fei Mi, Lingjing Kong, Fengyu Cai, Wanhao Zhou

As the labeling cost for different modules in task-oriented dialog (ToD) systems is expensive, a major challenge is to train different modules with the least amount of labeled data. Recently, large-scale pre-trained language models, have shown promising re ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

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Open-domain chatbots that can engage in a conversation on any topic received significant attention in the last several years, which opened opportunities for studying user interaction with them. Drawing from reviews of chatbots posted on Google Play, we exp ...

ASSOC COMPUTING MACHINERY2021

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Humor recognition has been widely studied as a text classification problem using data-driven approaches. However, most existing work does not examine the actual joke mechanism to understand humor. We break down any joke into two distinct components: the se ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

LaMBERT: Light and Multigranular BERT

Ljupche Milosheski

Pre-training complex language models is essential for the success of the recent methods such as BERT or OpenAI GPT. Their size makes not only the pre-training phase, but also consecutive applications to be computationally expensive. BERT-like models excel ...

2020

In this paper, a learning-based image compression method that employs wavelet decomposition as a preprocessing step is presented. The proposed convolutional autoencoder is trained end-to-end to yield a target bitrate smaller than 0.15 bits per pixel across ...

2019

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We build a conversational agent which knowledge base is an online forum for parents of autistic children. We collect about 35,000 threads totalling some 600,000 replies, and label 1% of them for usefulness using Amazon Mechanical Turk. We train a Random Fo ...

2018

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We present a newalgorithm for real-time hand tracking on commodity depth-sensing devices. Our method does not require a user-specific calibration session, but rather learns the geometry as the user performs live in front of the camera, thus enabling seamle ...

Assoc Computing Machinery2017

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