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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,…

Information Retrieval · Computer Science 2025-01-16 Jin Chen , Zheng Liu , Xu Huang , Chenwang Wu , Qi Liu , Gangwei Jiang , Yuanhao Pu , Yuxuan Lei , Xiaolong Chen , Xingmei Wang , Defu Lian , Enhong Chen

Large Language Models face significant challenges in maintaining coherent interactions over extended dialogues due to their limited contextual memory. This limitation often leads to fragmented exchanges and reduced relevance in responses,…

Machine Learning · Computer Science 2025-06-24 Haseeb Ullah Khan Shinwari , Muhammad Usama

Large Language Models (LLMs) have demonstrated remarkable capabilities in generating human-like text, yet their applicability to dialogue systems in computer games remains limited. This limitation arises from their substantial hardware…

Artificial Intelligence · Computer Science 2025-11-14 Martin Braas , Lukas Esterle

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

Agentic memory is emerging as a key enabler for large language models (LLM) to maintain continuity, personalization, and long-term context in extended user interactions, critical capabilities for deploying LLMs as truly interactive and…

Artificial Intelligence · Computer Science 2025-12-16 Samarth Sarin , Lovepreet Singh , Bhaskarjit Sarmah , Dhagash Mehta

Large language models (LLMs) have revolutionized AI, but are constrained by limited context windows, hindering their utility in tasks like extended conversations and document analysis. To enable using context beyond limited context windows,…

Artificial Intelligence · Computer Science 2024-02-13 Charles Packer , Sarah Wooders , Kevin Lin , Vivian Fang , Shishir G. Patil , Ion Stoica , Joseph E. Gonzalez

One application area of long-term memory (LTM) capabilities with increasing traction is personal AI companions and assistants. With the ability to retain and contextualize past interactions and adapt to user preferences, personal AI…

Computers and Society · Computer Science 2024-09-18 Eunhae Lee

Large language models (LLMs) increasingly serve as the central control unit of AI agents, yet current approaches remain limited in their ability to deliver personalized interactions. While Retrieval Augmented Generation enhances LLM…

Artificial Intelligence · Computer Science 2025-10-10 Rebecca Westhäußer , Wolfgang Minker , Sebatian Zepf

Pre-trained and frozen large language models (LLMs) can effectively map simple scene rearrangement instructions to programs over a robot's visuomotor functions through appropriate few-shot example prompting. To parse open-domain natural…

Artificial Intelligence · Computer Science 2023-11-21 Gabriel Sarch , Yue Wu , Michael J. Tarr , Katerina Fragkiadaki

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

Human-Computer Interaction · Computer Science 2025-03-04 Si Thu , A. Baki Kocaballi

The landscape of education is changing rapidly, shaped by emerging pedagogical approaches, technological innovations such as artificial intelligence (AI), and evolving societal expectations, all of which demand thorough evaluation of new…

Computers and Society · Computer Science 2026-03-19 Fiammetta Caccavale , Carina L. Gargalo , Julian Kager , Magdalena Skowyra , Steen Larsen , Krist V. Gernaey , Ulrich Krühne

The generative Artificial Intelligence (AI) tools based on Large Language Models (LLMs) use billions of parameters to extensively analyse large datasets and extract critical private information such as, context, specific details,…

Cryptography and Security · Computer Science 2023-10-20 Imdad Ullah , Najm Hassan , Sukhpal Singh Gill , Basem Suleiman , Tariq Ahamed Ahanger , Zawar Shah , Junaid Qadir , Salil S. Kanhere

Large Language Models have been increasingly employed in the creation of Virtual Assistants due to their ability to generate human-like text and handle complex inquiries. While these models hold great promise, challenges such as…

Computation and Language · Computer Science 2026-04-30 Dumitru Verşebeniuc , Martijn Elands , Sara Falahatkar , Chiara Magrone , Mohammad Falah , Martijn Boussé , Aki Härmä

In this study, we propose a novel human-like memory architecture designed for enhancing the cognitive abilities of large language model based dialogue agents. Our proposed architecture enables agents to autonomously recall memories…

Human-Computer Interaction · Computer Science 2024-04-02 Yuki Hou , Haruki Tamoto , Homei Miyashita

In 2022, with the release of ChatGPT, large-scale language models gained widespread attention. ChatGPT not only surpassed previous models in terms of parameters and the scale of its pretraining corpus but also achieved revolutionary…

Artificial Intelligence · Computer Science 2024-11-13 Yiming Ju , Huanhuan Ma

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse skill requirements. While LLM advancements present novel…

Artificial Intelligence · Computer Science 2023-07-20 Urszula Jessen , Michal Sroka , Dirk Fahland

Personalized support is essential to fulfill individuals' emotional needs and sustain their mental well-being. Large language models (LLMs), with great customization flexibility, hold promises to enable individuals to create their own…

Human-Computer Interaction · Computer Science 2025-05-01 Xi Zheng , Zhuoyang Li , Xinning Gui , Yuhan Luo

Large Language Models (LLMs) represent a landmark achievement in Artificial Intelligence (AI), demonstrating unprecedented proficiency in procedural tasks such as text generation, code completion, and conversational coherence. These…

Artificial Intelligence · Computer Science 2025-05-07 Schaun Wheeler , Olivier Jeunen

Open-domain dialogue systems have seen remarkable advancements with the development of large language models (LLMs). Nonetheless, most existing dialogue systems predominantly focus on brief single-session interactions, neglecting the…

Computation and Language · Computer Science 2025-02-14 Hao Li , Chenghao Yang , An Zhang , Yang Deng , Xiang Wang , Tat-Seng Chua

ChatGPT has achieved remarkable success in natural language understanding. Considering that recommendation is indeed a conversation between users and the system with items as words, which has similar underlying pattern with ChatGPT, we…

Information Retrieval · Computer Science 2024-04-16 Yabin Zhang , Wenhui Yu , Erhan Zhang , Xu Chen , Lantao Hu , Peng Jiang , Kun Gai