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Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge for machines. While advances have been made in natural language processing, real-world humor often thrives in a multi-modal context, encapsulated distinctively by ...

Reviews generation is an important task for the elementary and middle school composition evaluation. Existing methods only focus on reviewing the composition contents without consideration of the effects of different grades and the types of the ...

This paper studies retrieval-augmented approaches for personalizing large language models (LLMs), which potentially have a substantial impact on various applications and domains. We propose the first attempt to optimize the retrieval models that deliver ...

This paper introduces uRAG-a framework with a unified retrieval engine that serves multiple downstream retrieval-augmented generation (RAG) systems. Each RAG system consumes the retrieval results for a unique purpose, such as open-domain question ...

There are growing concerns about the responsible use of content-generating AI systems. Current guidelines for using AI are specific to certain scenarios and not applicable to scientific research. We propose a three-dimensional model consisting of ...

In each step of the creative writing process, writers must grapple with their creative goals and individual perspectives. This process affects the writer’s sense of authenticity and their engagement with the written output. Fluent text generation by AIs ...

Large language models (LLMs) are increasingly appearing in consumer-facing products. To prevent problematic use, the organizations behind these systems have put content moderation guardrails in place that prevent the models from generating content they ...

While writing peer reviews resembles an important task in science, education, and large organizations, providing fruitful suggestions to peers is not a straightforward task, as different user interaction designs of text suggestion interfaces can have ...

Social media produces large amounts of content every day. How to predict the potential influences of the contents from a social reply feedback perspective is a key issue that has not been explored. Thus, we propose a novel task named reply keyword ...

Recently, Large Language Models (LLMs) have achieved amazing zero-shot learning performance over a variety of Natural Language Processing (NLP) tasks, especially for text generative tasks. Yet, the large size of LLMs often leads to the high computational ...

Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for personalized language generation. We show an AI Ghostwriter ...

This paper presents the second report on making an integrated AI. Regarding visual processing, YOLOv8 and image2-text are employed to recognize surrounding visional scenes, which output meaningful text to the AI’s text processing unit. In text processing,...

There is a high demand for supportive technologies for decision-making processes. An effective way to support user decision making is to present necessary information in a text format that is easy for users to understand. In cases where different users ...

Tabular data is becoming increasingly important in Natural Language Processing (NLP) tasks, such as Tabular Natural Language Inference (TNLI). Given a table and a hypothesis expressed in NL text, the goal is to assess if the former structured data ...

This paper presents an innovative framework developed to identify, analyze, and generate memorable experiences in the hotel industry. People prefer memorable experiences over traditional services or products in today's ever-changing consumer world. As a ...

Large language models(LLMS) have shown excellent text generation capabilities, capable of generating fluent human-like responses for many downstream tasks. However, applying large language models to real-world critical tasks remains challenging due to ...

Dashboards are frequently used to monitor and share data across a breadth of domains including business, finance, sports, public policy, and healthcare, just to name a few. The combination of different components (e.g., key performance indicators, ...

With the advancement of telemedicine, both researchers and medical practitioners are working hand-in-hand to develop various techniques to automate various medical operations, such as diagnosis report generation. In this paper, we first present a multi-...

Image captioning is a research area of immense importance, aiming to generate natural language descriptions for visual content in the form of still images. The advent of deep learning and more recently vision-language pre-training techniques has ...

Text-editing models have recently become a prominent alternative to seq2seq models for monolingual text-generation tasks such as grammatical error correction, simplification, and style transfer. These tasks share a common trait -- they exhibit a large ...