English
Related papers

Related papers: Explore, Select, Derive, and Recall: Augmenting LL…

200 papers

Predicting a user's next search query from recent interaction behaviors is a critical problem in modern e-commerce systems, particularly in scenarios where user intent evolves rapidly. Large Language Models (LLMs) offer strong semantic…

Information Retrieval · Computer Science 2026-05-07 Bin Zhang , Weipeng Huang , Dimin Wang , Jialin Zhu , Yuning Jiang , Zhaode Wang , Chengfei Lv , Jian Wang , Qichao Ma , Li Chen , Junqing Wu , Yipeng Yu

The demand for deploying large language models(LLMs) on mobile devices continues to increase, driven by escalating data security concerns and cloud costs. However, network bandwidth and memory limitations pose challenges for deploying…

Machine Learning · Computer Science 2024-07-02 Songwei Liu , Chao Zeng , Lianqiang Li , Chenqian Yan , Lean Fu , Xing Mei , Fangmin Chen

Large Language Models (LLMs), such as GPT, have revolutionized artificial intelligence by enabling nuanced understanding and generation of human-like text across a wide range of applications. However, the high computational and financial…

Machine Learning · Computer Science 2024-12-10 Sajal Regmi , Chetan Phakami Pun

Large Language Models (LLMs) have revolutionized the field of Natural Language Processing thanks to their ability to reuse knowledge acquired on massive text corpora on a wide variety of downstream tasks, with minimal (if any) tuning steps.…

Computation and Language · Computer Science 2024-07-12 Flavio Petruzzellis , Alberto Testolin , Alessandro Sperduti

This paper explores the potential of large language models (LLMs) as reliable analytical tools in linguistic research, focusing on the emergence of affective meanings in temporal expressions involving manner-of-motion verbs. While LLMs like…

Computation and Language · Computer Science 2025-07-15 Rosa Illan Castillo , Javier Valenzuela

This study is a pioneering endeavor to investigate the capabilities of Large Language Models (LLMs) in addressing conceptual questions within the domain of mechanical engineering with a focus on mechanics. Our examination involves a…

Computation and Language · Computer Science 2024-01-25 Jie Tian , Jixin Hou , Zihao Wu , Peng Shu , Zhengliang Liu , Yujie Xiang , Beikang Gu , Nicholas Filla , Yiwei Li , Ning Liu , Xianyan Chen , Keke Tang , Tianming Liu , Xianqiao Wang

Large language models (LLMs) can be used as accessible and intelligent chatbots by constructing natural language queries and directly inputting the prompt into the large language model. However, different prompt' constructions often lead to…

Computation and Language · Computer Science 2023-12-14 Jinta Weng , Jiarui Zhang , Yue Hu , Daidong Fa , Xiaofeng Xuand , Heyan Huang

Mobile applications have become indispensable companions in our daily lives. Spanning over the categories from communication and entertainment to healthcare and finance, these applications have been influential in every aspect. Despite…

Software Engineering · Computer Science 2024-09-25 Tanmai Kumar Ghosh , Atharva Pargaonkar , Nasir U. Eisty

Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (NLP) related tasks. Therefore, various attempts have been…

Computation and Language · Computer Science 2024-09-11 Ridong Han , Chaohao Yang , Tao Peng , Prayag Tiwari , Xiang Wan , Lu Liu , Benyou Wang

Human-like large language models (LLMs), especially the most powerful and popular ones in OpenAI's GPT family, have proven to be very helpful for many natural language processing (NLP) related tasks. Therefore, various attempts have been…

Computation and Language · Computer Science 2024-09-12 Ridong Han , Chaohao Yang , Tao Peng , Prayag Tiwari , Xiang Wan , Lu Liu , Benyou Wang

Agents centered around Large Language Models (LLMs) are now capable of automating mobile device operations for users. After fine-tuning to learn a user's mobile operations, these agents can adhere to high-level user instructions online.…

Human-Computer Interaction · Computer Science 2024-01-18 Tinghe Ding

Large Language Model (LLM) agents are increasingly deployed to automate complex workflows in mobile and desktop environments. However, current model-centric agent architectures struggle to self-evolve post-deployment: improving…

Artificial Intelligence · Computer Science 2025-12-19 Zibin Liu , Cheng Zhang , Xi Zhao , Yunfei Feng , Bingyu Bai , Dahu Feng , Erhu Feng , Yubin Xia , Haibo Chen

This paper proposes a framework for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available data sets. We carry out an extensive technical evaluation of ChatGPT using 23 data sets covering 8 different common NLP…

Computation and Language · Computer Science 2023-11-29 Yejin Bang , Samuel Cahyawijaya , Nayeon Lee , Wenliang Dai , Dan Su , Bryan Wilie , Holy Lovenia , Ziwei Ji , Tiezheng Yu , Willy Chung , Quyet V. Do , Yan Xu , Pascale Fung

Mobile graphical user interface (GUI) agents are designed to automate everyday tasks on smartphones. Recent advances in large language models (LLMs) have significantly enhanced the capabilities of mobile GUI agents. However, most…

Human-Computer Interaction · Computer Science 2026-01-27 Mingxian Yu , Siqi Luo , Xu Chen

While Large Language Models (LLMs) possess significant capabilities in open-world agent tasks, they also face challenges in rapidly adapting to new, specialized tasks due to their reliance on static pre-trained knowledge. Traditional…

Computation and Language · Computer Science 2025-06-25 Kelin Fu , Kaigui Bian

Large Language Models (LLMs) are increasingly being used for interactive decision-making tasks requiring planning and adapting to the environment. Recent works employ LLMs-as-agents in broadly two ways: iteratively determining the next…

Artificial Intelligence · Computer Science 2024-04-10 Archiki Prasad , Alexander Koller , Mareike Hartmann , Peter Clark , Ashish Sabharwal , Mohit Bansal , Tushar Khot

Large Language Models (LLMs) like ChatGPT have demonstrated amazing capabilities in comprehending user intents and generate reasonable and useful responses. Beside their ability to chat, their capabilities in various natural language…

Computation and Language · Computer Science 2026-02-12 Liz Li , Wei Zhu

Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks. Taking document-level machine translation (MT) as a testbed, this paper provides…

Computation and Language · Computer Science 2023-10-25 Longyue Wang , Chenyang Lyu , Tianbo Ji , Zhirui Zhang , Dian Yu , Shuming Shi , Zhaopeng Tu

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…

Human-Computer Interaction · Computer Science 2024-03-06 Ashish Bastola , Hao Wang , Judsen Hembree , Pooja Yadav , Zihao Gong , Emma Dixon , Abolfazl Razi , Nathan McNeese

Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs…

Computation and Language · Computer Science 2023-10-10 Thilo Hagendorff , Sarah Fabi , Michal Kosinski