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Large Language Models (LLMs) are transforming AI across industries, but their development and deployment remain complex. This survey reviews 16 key challenges in building and using LLMs and examines how these challenges are addressed by two…

计算与语言 · 计算机科学 2025-09-01 Shubham Sharma , Sneha Tuli , Narendra Badam

Large Language Models (LLMs) deliver powerful AI capabilities but face deployment challenges due to high resource costs and latency, whereas Small Language Models (SLMs) offer efficiency and deployability at the cost of reduced performance.…

人工智能 · 计算机科学 2025-05-13 Yi Chen , JiaHao Zhao , HaoHao Han

Large language models (LLMs) are increasingly being used in conversational roles, yet little is known about how intimacy emerges in human-LLM interactions. Although previous work emphasized the importance of self-disclosure in human-chatbot…

人机交互 · 计算机科学 2025-06-02 Yeseon Hong , Junhyuk Choi , Minju Kim , Bugeun Kim

Large language models (LLMs) are used to generate content for a wide range of tasks, and are set to reach a growing audience in coming years due to integration in product interfaces like ChatGPT or search engines like Bing. This intensifies…

计算与语言 · 计算机科学 2023-03-10 Hannah Rose Kirk , Bertie Vidgen , Paul Röttger , Scott A. Hale

The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved,…

Conversational human-likeness plays a central role in human-AI interaction, yet it has remained difficult to define, measure, and optimize. As a result, improvements in human-like behavior are largely driven by scale or broad supervised…

人工智能 · 计算机科学 2026-01-08 Masum Hasan , Junjie Zhao , Ehsan Hoque

Artificial intelligence is seen as increasingly important, and potentially profoundly so, but the fields of AI ethics and AI engineering have not fully recognized that these technologies, including large language models (LLMs), will have…

人工智能 · 计算机科学 2024-03-05 Sankalpa Ghose , Yip Fai Tse , Kasra Rasaee , Jeff Sebo , Peter Singer

Large language model (LLM)-driven AI systems are increasingly important for autonomous decision-making in dynamic and open environments. However, most existing systems rely on predefined tasks and fixed prompts, limiting their ability to…

人工智能 · 计算机科学 2026-02-03 Hong Su

Incorporating Generative AI (GenAI) and Large Language Models (LLMs) in education can enhance teaching efficiency and enrich student learning. Current LLM usage involves conversational user interfaces (CUIs) for tasks like generating…

The burgeoning capabilities of large language models (LLMs) have underscored the need for alignment to ensure these models act in accordance with human values and intentions. Existing alignment frameworks present constraints either in the…

计算与语言 · 计算机科学 2025-04-28 Leitian Tao , Yixuan Li

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

Conversational AI interfaces powered by large language models (LLMs) are increasingly used as coding assistants. However, questions remain about how programmers interact with LLM-based conversational agents, the challenges they encounter,…

人机交互 · 计算机科学 2025-03-24 Mehmet Akhoroz , Caglar Yildirim

As large language models (LLMs) enter the mainstream, aligning them to foster constructive dialogue rather than exacerbate societal divisions is critical. Using an individualized and multicultural alignment dataset of over 7,500…

人机交互 · 计算机科学 2025-03-24 Yara Kyrychenko , Jon Roozenbeek , Brandon Davidson , Sander van der Linden , Ramit Debnath

As multiple crises threaten the sustainability of our societies and pose at risk the planetary boundaries, complex challenges require timely, updated, and usable information. Natural-language processing (NLP) tools enhance and expand data…

Humans rely more and more on systems with AI components. The AI community typically treats human inputs as a given and optimizes AI models only. This thinking is one-sided and it neglects the fact that humans can learn, too. In this work,…

人机交互 · 计算机科学 2020-09-22 Johannes Schneider

The rise of general-purpose artificial intelligence (AI) systems, particularly large language models (LLMs), has raised pressing moral questions about how to reduce bias and ensure fairness at scale. Researchers have documented a sort of…

计算与语言 · 计算机科学 2025-06-06 Jacy Anthis , Kristian Lum , Michael Ekstrand , Avi Feller , Chenhao Tan

Polite speech poses a fundamental alignment challenge for large language models (LLMs). Humans deploy a rich repertoire of linguistic strategies to balance informational and social goals -- from positive approaches that build rapport…

计算与语言 · 计算机科学 2025-10-31 Haoran Zhao , Robert D. Hawkins

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their…

Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in Modeling & Simulation (M&S), the…

人机交互 · 计算机科学 2024-09-25 Philippe J. Giabbanelli , Jose J. Padilla , Ameeta Agrawal

Contemporary conversational AI systems based on large language models (LLMs) can engage users on a wide variety of topics, including philosophy, spirituality, and religion. Suitably prompted, LLMs can be coaxed into discussing such…

计算机与社会 · 计算机科学 2024-11-21 Murray Shanahan , Beth Singler