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Recent neural models of dialogue generation offer great promise for generating responses for conversational agents, but tend to be shortsighted, predicting utterances one at a time while ignoring their influence on future outcomes. Modeling…

计算与语言 · 计算机科学 2016-09-30 Jiwei Li , Will Monroe , Alan Ritter , Michel Galley , Jianfeng Gao , Dan Jurafsky

Recent advancements in artificial intelligence (AI) and machine learning have reignited interest in their impact on Computer-based Learning (CBL). AI-driven tools like ChatGPT and Intelligent Tutoring Systems (ITS) have enhanced learning…

计算机与社会 · 计算机科学 2025-05-07 Mohsen Balavar , Wenli Yang , David Herbert , Soonja Yeom

Reward models play a critical role in guiding large language models toward outputs that align with human expectations. However, an open challenge remains in effectively utilizing test-time compute to enhance reward model performance. In…

计算与语言 · 计算机科学 2025-05-21 Jiaxin Guo , Zewen Chi , Li Dong , Qingxiu Dong , Xun Wu , Shaohan Huang , Furu Wei

This study compares the design practices and performance of ChatGPT 4.0, a large language model (LLM), against graduate engineering students in a 48-hour prototyping hackathon, based on a dataset comprising more than 100 prototypes. The LLM…

Large language models (LLMs) offer promise for dynamic game content generation, but they face critical barriers, including narrative incoherence and high operational costs. Due to their large size, they are often accessed in the cloud,…

人工智能 · 计算机科学 2026-05-20 Morten I. K. Munk , Arturo Valdivia , Paolo Burelli

It has been established in recent work that Large Language Models (LLMs) can be prompted to "self-play" conversational games that probe certain capabilities (general instruction following, strategic goal orientation, language understanding…

计算与语言 · 计算机科学 2024-06-03 Anne Beyer , Kranti Chalamalasetti , Sherzod Hakimov , Brielen Madureira , Philipp Sadler , David Schlangen

AI tasks encompass a wide range of domains and fields. While numerous AI models have been designed for specific tasks and applications, they often require considerable human efforts in finding the right model architecture, optimization…

计算与语言 · 计算机科学 2023-05-05 Shujian Zhang , Chengyue Gong , Lemeng Wu , Xingchao Liu , Mingyuan Zhou

Interactive user interfaces have increasingly explored AI's role in enhancing communication efficiency and productivity in collaborative tasks. The emergence of Large Language Models (LLMs) such as ChatGPT has revolutionized conversational…

人机交互 · 计算机科学 2024-03-06 Ashish Bastola , Hao Wang , Judsen Hembree , Pooja Yadav , Zihao Gong , Emma Dixon , Abolfazl Razi , Nathan McNeese

Role-playing games (RPG) are games in which players interact with one another to create narratives. The role of players in the RPG is largely based on the interaction between players and their characters. This emerging form of shared…

计算与语言 · 计算机科学 2025-03-27 Alessandro Maisto

The development and popularization of large language models (LLMs) have raised concerns that they will be used to create tailor-made, convincing arguments to push false or misleading narratives online. Early work has found that language…

计算机与社会 · 计算机科学 2025-05-21 Francesco Salvi , Manoel Horta Ribeiro , Riccardo Gallotti , Robert West

Large language models (LLMs) are now accessible to anyone with a computer, a web browser, and an internet connection via browser-based interfaces, shifting the dynamics of participation in AI development. This article examines how…

人机交互 · 计算机科学 2025-10-31 Ned Cooper , Alexandra Zafiroglu

One of the key challenges in current Reinforcement Learning (RL)-based Automated Driving (AD) agents is achieving flexible, precise, and human-like behavior cost-effectively. This paper introduces an innovative approach that uses large…

人工智能 · 计算机科学 2024-12-30 Ziqi Zhou , Jingyue Zhang , Jingyuan Zhang , Yangfan He , Boyue Wang , Tianyu Shi , Alaa Khamis

Procedural content generation via Machine Learning (PCGML) is the umbrella term for approaches that generate content for games via machine learning. One of the benefits of PCGML is that, unlike search or grammar-based PCG, it does not…

人工智能 · 计算机科学 2018-09-26 Matthew Guzdial , Joshua Reno , Jonathan Chen , Gillian Smith , Mark Riedl

Procedural Content Generation (PCG) refers to the practice, in videogames and other games, of generating content such as levels, quests, or characters algorithmically. Motivated by the need to make games replayable, as well as to reduce…

人工智能 · 计算机科学 2020-03-18 Sebastian Risi , Julian Togelius

The emergence of large language models (LLMs) has revolutionized the capabilities of text comprehension and generation. Multi-modal generation attracts great attention from both the industry and academia, but there is little work on…

信息检索 · 计算机科学 2024-04-16 Xiaoteng Shen , Rui Zhang , Xiaoyan Zhao , Jieming Zhu , Xi Xiao

Since the launch of ChatGPT, a powerful AI Chatbot developed by OpenAI, large language models (LLMs) have made significant advancements in both academia and industry, bringing about a fundamental engineering paradigm shift in many areas.…

软件工程 · 计算机科学 2023-11-22 Xiaoxia Liu , Jingyi Wang , Jun Sun , Xiaohan Yuan , Guoliang Dong , Peng Di , Wenhai Wang , Dongxia Wang

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluating the generative…

AI-driven chatbots such as ChatGPT have caused a tremendous hype lately. For BPM applications, several applications for AI-driven chatbots have been identified to be promising to generate business value, including explanation of process…

计算与语言 · 计算机科学 2024-01-19 Nataliia Klievtsova , Janik-Vasily Benzin , Timotheus Kampik , Juergen Mangler , Stefanie Rinderle-Ma

Existing works focus on fixed-size layout pattern generation, while the more practical free-size pattern generation receives limited attention. In this paper, we propose ChatPattern, a novel Large-Language-Model (LLM) powered framework for…

计算与语言 · 计算机科学 2024-03-26 Zixiao Wang , Yunheng Shen , Xufeng Yao , Wenqian Zhao , Yang Bai , Farzan Farnia , Bei Yu

With the recent success of large language models (LLMs), the idea of AI-augmented Business Process Management systems is becoming more feasible. One of their essential characteristics is the ability to be conversationally actionable,…

人工智能 · 计算机科学 2026-04-21 Nataliia Klievtsova , Timotheus Kampik , Juergen Mangler , Stefanie Rinderle-Ma