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Game development is a highly specialized task that relies on a complex game engine powered by complex programming languages, preventing many gaming enthusiasts from handling it. This paper introduces the Chat Game Engine (ChatGE) powered by…

人工智能 · 计算机科学 2024-12-17 Jiale Hong , Hongqiu Wu , Hai Zhao

Large language models (LLMs) such as ChatGPT have demonstrated superior performance on a variety of natural language processing (NLP) tasks including sentiment analysis, mathematical reasoning and summarization. Furthermore, since these…

计算与语言 · 计算机科学 2023-10-18 Shiyuan Huang , Siddarth Mamidanna , Shreedhar Jangam , Yilun Zhou , Leilani H. Gilpin

Since the introduction of ChatGPT in 2022, Large language models (LLMs) and Large Multimodal Models (LMM) have transformed content creation, enabling the generation of human-quality content, spanning every medium, text, images, videos, and…

Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks. However, traditional recommender systems continue to face great challenges such as poor interactivity and…

信息检索 · 计算机科学 2023-04-05 Yunfan Gao , Tao Sheng , Youlin Xiang , Yun Xiong , Haofen Wang , Jiawei Zhang

Nowadays, the current neural network models of dialogue generation(chatbots) show great promise for generating answers for chatty agents. But they are short-sighted in that they predict utterances one at a time while disregarding their…

计算与语言 · 计算机科学 2023-01-19 Jabri Ismail , Aboulbichr Ahmed , El ouaazizi Aziza

By formally defining the training processes of large language models (LLMs), which usually encompasses pre-training, supervised fine-tuning, and reinforcement learning with human feedback, within a single and unified machine learning…

计算与语言 · 计算机科学 2024-02-14 Yang Liu , Peng Sun , Hang Li

Procedural content generation uses algorithmic techniques to create large amounts of new content for games at much lower production costs. In newer approaches, procedural content generation utilizes machine learning. However, these methods…

人工智能 · 计算机科学 2024-07-01 Davor Hafnar , Jure Demšar

We propose a large language model based reward decomposition framework for aligning dialogue agents using only a single session-level feedback signal. We leverage the reasoning capabilities of a frozen, pretrained large language model (LLM)…

计算与语言 · 计算机科学 2026-02-12 Dong Won Lee , Hae Won Park , Cynthia Breazeal , Louis-Philippe Morency

AI tools, particularly large-scale language model (LLM) based applications such as ChatGPT, have the potential to simplify qualitative research. Through semi-structured interviews with seventeen participants, we identified challenges and…

人机交互 · 计算机科学 2025-05-14 He Zhang , Chuhao Wu , Jingyi Xie , Yao Lyu , Jie Cai , John M. Carroll

Recent efforts have evaluated large language models (LLMs) in areas such as commonsense reasoning, mathematical reasoning, and code generation. However, to the best of our knowledge, no work has specifically investigated the performance of…

计算与语言 · 计算机科学 2024-05-17 Xuanfan Ni , Piji Li

It is popular lately to train large language models to be used as chat assistants, but in the conversation between the user and the chat assistant, there are prompts, require multi-turns between the chat assistant and the user. However,…

计算与语言 · 计算机科学 2025-02-24 Haun Leung , ZiNan Wang

Large Language Models (LLMs) have the potential to automate reward engineering by leveraging their broad domain knowledge across various tasks. However, they often need many iterations of trial-and-error to generate effective reward…

机器学习 · 计算机科学 2024-10-28 Vishnu Sarukkai , Brennan Shacklett , Zander Majercik , Kush Bhatia , Christopher Ré , Kayvon Fatahalian

Procedural Content Generation (PCG) is a technique to generate complex and diverse environments in an automated way. However, while generating content with PCG methods is often straightforward, generating meaningful content that reflects…

The pursuit of Artificial General Intelligence (AGI) is a central goal in language model development, in which consciousness-like processing could serve as a key facilitator. While current language models are not conscious, they exhibit…

While artificial intelligence (AI) technology is becoming increasingly popular, its underlying mechanisms tend to remain opaque to most people. To address this gap, the field of AI literacy aims to develop various resources to teach people…

计算机与社会 · 计算机科学 2026-03-31 Allison Chen , Isabella Pu

Recent advances in Generative Artificial Intelligence, particularly Large Language Models (LLMs), have stimulated growing interest in automating or assisting Business Process Modeling tasks using natural language. Several approaches have…

软件工程 · 计算机科学 2026-04-16 João Bettencourt , Sérgio Guerreiro

Large Language Models (LLMs) are revolutionizing industries by enhancing efficiency, scalability, and innovation. This paper investigates the potential of LLMs in automating Computer-Aided Design (CAD) workflows, by integrating FreeCAD with…

人机交互 · 计算机科学 2025-08-05 Sumit Kumar , Sarthak Kapoor , Harsh Vardhan , Yao Zhao

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…

计算与语言 · 计算机科学 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

ChatGPT is a large language model (LLM) created by OpenAI that has been carefully trained on a large amount of data. It has revolutionized the field of natural language processing (NLP) and has pushed the boundaries of LLM capabilities.…

计算与语言 · 计算机科学 2023-07-18 Salman Mohamadi , Ghulam Mujtaba , Ngan Le , Gianfranco Doretto , Donald A. Adjeroh

The rapid advancement of Large Language Models (LLMs) has revolutionized various sectors by automating routine tasks, marking a step toward the realization of Artificial General Intelligence (AGI). However, they still struggle to…

机器学习 · 计算机科学 2024-02-21 Zihao Tang , Zheqi Lv , Shengyu Zhang , Fei Wu , Kun Kuang