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相关论文: Towards Dialogues for Joint Human-AI Reasoning and…

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Developing value-aligned AI agents is a complex undertaking and an ongoing challenge in the field of AI. Specifically within the domain of Large Language Models (LLMs), the capability to consolidate multiple independently trained dialogue…

Large language models (LLMs) are transforming human-computer interaction and conceptions of artificial intelligence (AI) with their impressive capacities for conversing and reasoning in natural language. There is growing interest in whether…

人机交互 · 计算机科学 2024-05-15 Winnie Street

Large language models (LLMs) have the potential to aid and improve human decision-making in classification tasks, not only by providing fairly accurate predictions, but also in their ability to generate cogent narrative explanations of…

人机交互 · 计算机科学 2026-05-25 Laura R. Marusich , Mary Grace Kozuch Dhooghe , Jonathan Z. Bakdash , Murat Kantarcioglu

As generative AI models become increasingly integrated into high-stakes domains, the need for robust methods to evaluate their ethical reasoning becomes increasingly important. This paper introduces a five-dimensional audit model --…

人工智能 · 计算机科学 2025-04-25 W. Russell Neuman , Chad Coleman , Ali Dasdan , Safinah Ali , Manan Shah

This perspective paper explores the future potential of "conversational intelligence" by examining how Large Language Models (LLMs) could be combined with GRAPHYP's network system to better understand human conversations and preferences.…

人工智能 · 计算机科学 2025-07-29 Renaud Fabre , Daniel Egret , Patrice Bellot

Mathematical reasoning and optimization are fundamental to artificial intelligence and computational problem-solving. Recent advancements in Large Language Models (LLMs) have significantly improved AI-driven mathematical reasoning, theorem…

人工智能 · 计算机科学 2025-03-25 Ali Forootani

In the present study, we investigate and compare reasoning in large language models (LLM) and humans using a selection of cognitive psychology tools traditionally dedicated to the study of (bounded) rationality. To do so, we presented to…

计算与语言 · 计算机科学 2023-09-25 Nicolas Yax , Hernan Anlló , Stefano Palminteri

Artificial Intelligence (AI) is being increasingly deployed in practical applications. However, there is a major concern whether AI systems will be trusted by humans. In order to establish trust in AI systems, there is a need for users to…

人工智能 · 计算机科学 2021-02-16 Quratul-ain Mahesar , Simon Parsons

Due to the remarkable capabilities and growing impact of large language models (LLMs), they have been deeply integrated into many aspects of society. Thus, ensuring their alignment with human values and intentions has emerged as a critical…

This perspective paper proposes a series of interactive scenarios that utilize Artificial Intelligence (AI) to enhance classroom teaching, such as dialogue auto-completion, knowledge and style transfer, and assessment of AI-generated…

人工智能 · 计算机科学 2023-06-13 Kehui Tan , Tianqi Pang , Chenyou Fan , Song Yu

Instruction-tuned Large Language Models (LLMs) are increasingly deployed as AI Assistants in firms for support in cognitive tasks. These AI assistants carry embedded perspectives which influence factors across the firm including…

计算机与社会 · 计算机科学 2025-05-27 Noah Broestl , Benjamin Lange , Cristina Voinea , Geoff Keeling , Rachael Lam

As AI systems become more advanced, ensuring their alignment with a diverse range of individuals and societal values becomes increasingly critical. But how can we capture fundamental human values and assess the degree to which AI systems…

人机交互 · 计算机科学 2025-11-05 Hua Shen , Tiffany Knearem , Reshmi Ghosh , Yu-Ju Yang , Nicholas Clark , Tanushree Mitra , Yun Huang

This study establishes a novel framework for systematically evaluating the moral reasoning capabilities of large language models (LLMs) as they increasingly integrate into critical societal domains. Current assessment methodologies lack the…

计算机与社会 · 计算机科学 2025-05-05 Junfeng Jiao , Saleh Afroogh , Abhejay Murali , Kevin Chen , David Atkinson , Amit Dhurandhar

Large Language Models (LLMs) have become a popular interface for human-AI interaction, supporting information seeking and task assistance through natural, multi-turn dialogue. To respond to users within multi-turn dialogues, the…

计算与语言 · 计算机科学 2026-04-16 Fengran Mo , Yifan Gao , Sha Li , Hansi Zeng , Xin Liu , Zhaoxuan Tan , Xian Li , Jianshu Chen , Dakuo Wang , Meng Jiang

Reasoning is central to human intelligence, enabling structured problem-solving across diverse tasks. Recent advances in large language models (LLMs) have greatly enhanced their reasoning abilities in arithmetic, commonsense, and symbolic…

As AI systems advance in capabilities, measuring their safety and alignment to human values is becoming paramount. A fast-growing field of AI research is devoted to developing such assessments. However, most current advances therein may be…

计算机与社会 · 计算机科学 2026-03-17 Max Hellrigel-Holderbaum , Edward James Young

Thanks to rapid progress in artificial intelligence, we have entered an era when technology and philosophy intersect in interesting ways. Sitting squarely at the centre of this intersection are large language models (LLMs). The more adept…

计算与语言 · 计算机科学 2023-02-17 Murray Shanahan

Inspired by recent and revolutionary developments in AI, particularly in language understanding and generation, we set about designing AI systems that are able to address complex scientific tasks that challenge human capabilities to make…

计算与语言 · 计算机科学 2022-11-01 José Manuel Gómez-Pérez

With AI systems becoming more powerful and pervasive, there is increasing debate about keeping their actions aligned with the broader goals and needs of humanity. This multi-disciplinary and multi-stakeholder debate must resolve many…

人工智能 · 计算机科学 2021-12-21 Koen Holtman