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Traditional methods for eliciting people's opinions face a trade-off between depth and scale: structured surveys enable large-scale data collection but limit respondents' ability to voice their opinions in their own words, while…

We discuss the emerging new opportunity for building feedback-rich computational models of social systems using generative artificial intelligence. Referred to as Generative Agent-Based Models (GABMs), such individual-level models utilize…

人工智能 · 计算机科学 2024-01-15 Navid Ghaffarzadegan , Aritra Majumdar , Ross Williams , Niyousha Hosseinichimeh

Driven by the rapid growth of machine learning, recent advances in game artificial intelligence (AI) have significantly impacted productivity across various gaming genres. Reward design plays a pivotal role in training game AI models,…

人工智能 · 计算机科学 2024-06-19 In-Chang Baek , Tae-Hwa Park , Jin-Ha Noh , Cheong-Mok Bae , Kyung-Joong Kim

Developing user-centred applications that address diverse user needs requires rigorous user research. This is time, effort and cost-consuming. With the recent rise of generative AI techniques based on Large Language Models (LLMs), there is…

人机交互 · 计算机科学 2024-04-09 Yutan Huang , Tanjila Kanij , Anuradha Madugalla , Shruti Mahajan , Chetan Arora , John Grundy

Simulation is an invaluable tool for developing and evaluating controllers for self-driving cars. Current simulation frameworks are driven by highly-specialist domain specific languages, and so a natural language interface would greatly…

人工智能 · 计算机科学 2023-10-27 Antonio Valerio Miceli-Barone , Alex Lascarides , Craig Innes

Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various domains and modalities, they cannot handle complicated AI…

计算与语言 · 计算机科学 2023-12-05 Yongliang Shen , Kaitao Song , Xu Tan , Dongsheng Li , Weiming Lu , Yueting Zhuang

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) have demonstrated remarkable capabilities in reasoning and generation, serving as the foundation for advanced persona simulation and Role-Playing Language Agents (RPLAs). However, achieving authentic alignment…

计算与语言 · 计算机科学 2026-04-20 Xintao Wang , Jian Yang , Weiyuan Li , Rui Xie , Jen-tse Huang , Jun Gao , Shuai Huang , Yueping Kang , Yuanli Gou , Hongwei Feng , Yanghua Xiao

Healthcare systems around the world are grappling with issues like inefficient diagnostics, rising costs, and limited access to specialists. These problems often lead to delays in treatment and poor health outcomes. Most current AI and deep…

人工智能 · 计算机科学 2025-12-22 Maliha Tabassum , M Shamim Kaiser

Beyond mere formality, small talk plays a pivotal role in social dynamics, serving as a verbal handshake for building rapport and understanding. For conversational AI and social robots, the ability to engage in small talk enhances their…

机器人学 · 计算机科学 2024-12-25 Rebecca Ramnauth , Dražen Brščić , Brian Scassellati

The advent of large language models (LLMs) has gained tremendous attention over the past year. Previous studies have shown the astonishing performance of LLMs not only in other tasks but also in emotion recognition in terms of accuracy,…

计算与语言 · 计算机科学 2023-10-24 Liyizhe Peng , Zixing Zhang , Tao Pang , Jing Han , Huan Zhao , Hao Chen , Björn W. Schuller

In 2025, Large Language Model (LLM) services have launched a new feature -- AI video chat -- allowing users to interact with AI agents via real-time video communication (RTC), just like chatting with real people. Despite its significance,…

网络与互联网体系结构 · 计算机科学 2025-10-02 Jiayang Xu , Xiangjie Huang , Zijie Li , Zili Meng

In recent years, Dialogue-style Large Language Models (LLMs) such as ChatGPT and GPT4 have demonstrated immense potential in constructing open-domain dialogue agents. However, aligning these agents with specific characters or individuals…

计算与语言 · 计算机科学 2023-10-10 Nuo Chen , Yan Wang , Haiyun Jiang , Deng Cai , Yuhan Li , Ziyang Chen , Longyue Wang , Jia Li

This study delves into the application potential of the large language models (LLMs) ChatGLM in the automatic generation of structured questions for National Teacher Certification Exams (NTCE). Through meticulously designed prompt…

计算机与社会 · 计算机科学 2024-08-21 Ling He , Yanxin Chen , Xiaoqiang Hu

Real-time, intelligent, and natural speech interaction is an essential part of the next-generation human-computer interaction. Recent advancements have showcased the potential of building intelligent spoken chatbots based on large language…

计算与语言 · 计算机科学 2025-05-06 Qingkai Fang , Yan Zhou , Shoutao Guo , Shaolei Zhang , Yang Feng

Large language models (LLMs), due to their advanced natural language capabilities, have seen significant success in applications where the user interface is usually a conversational artificial intelligence (AI) agent and engages the user…

计算与语言 · 计算机科学 2025-03-10 Fei Wei , Yaliang Li , Bolin Ding

Conversation with chatbots based on Large Language Models (LLMs) such as ChatGPT has become one of the major forms of interaction with Artificial Intelligence (AI) in everyday life. What makes this interaction so convenient is that…

人机交互 · 计算机科学 2026-03-18 Sarah Diefenbach , Daniel Ullrich

Pre-trained Language Models (PLMs) have proven to be beneficial for various downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB training data, drew a lot of attention due to the capacity of few-shot (even zero-shot)…

This paper presents ChatCounselor, a large language model (LLM) solution designed to provide mental health support. Unlike generic chatbots, ChatCounselor is distinguished by its foundation in real conversations between consulting clients…

计算与语言 · 计算机科学 2023-09-28 June M. Liu , Donghao Li , He Cao , Tianhe Ren , Zeyi Liao , Jiamin Wu

Developing domain models is one of the few remaining places that require manual human labor in AI planning. Thus, in order to make planning more accessible, it is desirable to automate the process of domain model generation. To this end, we…

计算与语言 · 计算机科学 2024-05-14 James Oswald , Kavitha Srinivas , Harsha Kokel , Junkyu Lee , Michael Katz , Shirin Sohrabi