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Well-designed prompts can guide text-to-image models to generate amazing images. However, the performant prompts are often model-specific and misaligned with user input. Instead of laborious human engineering, we propose prompt adaptation,…

Computation and Language · Computer Science 2024-01-01 Yaru Hao , Zewen Chi , Li Dong , Furu Wei

Since the release of OpenAI's ChatGPT, generative language models have attracted extensive public attention. The increased usage has highlighted generative models' broad utility, but also revealed several forms of embedded bias. Some is…

Artificial Intelligence · Computer Science 2023-06-16 Max Reuter , William Schulze

We propose a novel application of prompting Pre-trained Language Models (PLMs) to generate analogies and study how to design effective prompts for two task settings: generating a source concept analogous to a given target concept (aka…

Computation and Language · Computer Science 2022-10-12 Bhavya Bhavya , Jinjun Xiong , Chengxiang Zhai

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

Computation and Language · Computer Science 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Prompt engineering has shown potential for improving translation quality in LLMs. However, the possibility of using translation concepts in prompt design remains largely underexplored. Against this backdrop, the current paper discusses the…

Computation and Language · Computer Science 2026-04-06 Sui He

Large pre-trained language models have exhibited unprecedented capabilities in producing high-quality text via prompting techniques. This fact introduces new possibilities for data collection and annotation, particularly in situations where…

Computation and Language · Computer Science 2023-05-25 Tiziano Labruna , Sofia Brenna , Andrea Zaninello , Bernardo Magnini

Pretrained language models (PLMs) have made remarkable progress in text generation tasks via fine-tuning. While, it is challenging to fine-tune PLMs in a data-scarce situation. Therefore, it is non-trivial to develop a general and…

Computation and Language · Computer Science 2022-05-17 Junyi Li , Tianyi Tang , Jian-Yun Nie , Ji-Rong Wen , Wayne Xin Zhao

In today's digitally driven world, dialogue systems play a pivotal role in enhancing user interactions, from customer service to virtual assistants. In these dialogues, it is important to identify user's goals automatically to resolve their…

Computation and Language · Computer Science 2024-11-19 Juan A. Rodriguez , Nicholas Botzer , David Vazquez , Christopher Pal , Marco Pedersoli , Issam Laradji

ChatGPT is an advanced natural language processing tool with growing applications across various disciplines in medical research. Thematic analysis, a qualitative research method to identify and interpret patterns in data, is one…

Computation and Language · Computer Science 2025-05-08 V Vien Lee , Stephanie C. C. van der Lubbe , Lay Hoon Goh , Jose M. Valderas

Large Language Models (LLMs) have been integrated into recommender systems to enhance user behavior comprehension. The Retrieval Augmented Generation (RAG) technique is further incorporated into these systems to retrieve more relevant items…

Information Retrieval · Computer Science 2025-03-27 Sichun Luo , Jian Xu , Xiaojie Zhang , Linrong Wang , Sicong Liu , Hanxu Hou , Linqi Song

Large language models, pivotal in artificial intelligence, find diverse applications. ChatGPT (Chat Generative Pre-trained Transformer), an OpenAI creation, stands out as a widely adopted, powerful tool. It excels in chatbots, content…

Computation and Language · Computer Science 2025-05-28 Walid Hariri

The rapid evolution of LLMs represents an impactful paradigm shift in digital interaction and content engagement. While they encode vast amounts of human-generated knowledge and excel in processing diverse data types, they often face the…

Human-Computer Interaction · Computer Science 2024-11-20 Anna Bodonhelyi , Efe Bozkir , Shuo Yang , Enkelejda Kasneci , Gjergji Kasneci

Large Language Models (LLMs) have become powerful foundations for generative recommender systems, framing recommendation tasks as text generation tasks. However, existing generative recommendation methods often rely on discrete ID-based…

Information Retrieval · Computer Science 2026-03-24 Jerome Ramos , Bin Wu , Aldo Lipani

As a natural language assistant, ChatGPT is capable of performing various tasks, including but not limited to article generation, code completion, and data analysis. Furthermore, ChatGPT has consistently demonstrated a remarkable level of…

Computation and Language · Computer Science 2023-03-15 Yunjie Ji , Yan Gong , Yiping Peng , Chao Ni , Peiyan Sun , Dongyu Pan , Baochang Ma , Xiangang Li

Predicting a user's next search query from recent interaction behaviors is a critical problem in modern e-commerce systems, particularly in scenarios where user intent evolves rapidly. Large Language Models (LLMs) offer strong semantic…

Information Retrieval · Computer Science 2026-05-07 Bin Zhang , Weipeng Huang , Dimin Wang , Jialin Zhu , Yuning Jiang , Zhaode Wang , Chengfei Lv , Jian Wang , Qichao Ma , Li Chen , Junqing Wu , Yipeng Yu

In sequential recommendation, models recommend items based on user's interaction history. To this end, current models usually incorporate information such as item descriptions and user intent or preferences. User preferences are usually not…

ChatGPT has the ability to generate grammatically flawless and seemingly-human replies to different types of questions from various domains. The number of its users and of its applications is growing at an unprecedented rate. Unfortunately,…

Computation and Language · Computer Science 2023-02-01 Sandra Mitrović , Davide Andreoletti , Omran Ayoub

ChatGPT, with its customization features and Voice Mode, has the potential for more engaging and peresonalized ESL (English as a Second Language) education. This study examines the efficacy of customized ChatGPT conversational features in…

Human-Computer Interaction · Computer Science 2026-03-17 Fanfei Meng

Large Language Models, such as Generative Pre-trained Transformer 3 (aka. GPT-3), have been developed to understand language through the analysis of extensive text data, allowing them to identify patterns and connections between words.…

Computation and Language · Computer Science 2023-10-03 Baphumelele Masikisiki , Vukosi Marivate , Yvette Hlope

Text style transfer, an important research direction in natural language processing, aims to adapt the text to various preferences but often faces challenges with limited resources. In this work, we introduce a novel method termed Style…

Computation and Language · Computer Science 2024-07-23 Chunzhen Jin , Yongfeng Huang , Yaqi Wang , Peng Cao , Osmar Zaiane
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