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Related papers: Context Adaptivity as Enabler for Meaningful Perva…

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People rely heavily on context to enrich meaning beyond what is literally said, enabling concise but effective communication. To interact successfully and naturally with people, user-facing artificial intelligence systems will require…

Computation and Language · Computer Science 2023-11-23 Daniel Fried , Nicholas Tomlin , Jennifer Hu , Roma Patel , Aida Nematzadeh

Contextual utility theory integrates context-sensitive factors into utility-based decision-making models. It stresses the importance of understanding individual decision-makers' preferences, values, and beliefs and the situational factors…

Human-Computer Interaction · Computer Science 2023-03-27 Minal Suresh Patil , Kary Främling

The use of conversational assistants to search for information is becoming increasingly more popular among the general public, pushing the research towards more advanced and sophisticated techniques. In the last few years, in particular,…

Information Retrieval · Computer Science 2021-04-15 Rafael Ferreira , David Semedo , Joao Magalhaes

Web search has become an inevitable part of everyday life. Improving and monetizing web search has been a focus of major Internet players. Understanding the context of web search query is an important aspect of this task as it represents…

Information Retrieval · Computer Science 2026-03-17 Jelena Gligorijevic , Djordje Gligorijevic , Aravindan Raghuveer , Mihajlo Grbovic , Zoran Obradovic

Adapting advertisements for multilingual audiences requires more than simple text translation; it demands preservation of visual consistency, spatial alignment, and stylistic integrity across diverse languages and formats. We introduce a…

Artificial Intelligence · Computer Science 2025-10-08 Harshit Rajgarhia , Shivali Dalmia , Mengyang Zhao , Mukherji Abhishek , Kiran Ganesh

In-context learning is a surprising and important phenomenon that emerged when modern language models were scaled to billions of learned parameters. Without modifying a large language model's weights, it can be tuned to perform various…

Computation and Language · Computer Science 2023-03-15 Noam Wies , Yoav Levine , Amnon Shashua

Advances in the use of cognitive and machine learning (ML) enabled systems fuel the quest for novel approaches and tools to support software developers in executing their tasks. First, as software development is a complex and dynamic…

Software Engineering · Computer Science 2021-02-11 Glaucia Melo , Paulo Alencar , Donald Cowan

There has been growing interests in recent years from both practical and research perspectives for session-based recommendation tasks as long-term user profiles do not often exist in many real-life recommendation applications. In this case,…

Information Retrieval · Computer Science 2018-06-12 Fei Mi , Boi Faltings

Context reasoning is critical in a wide variety of applications where current inputs need to be interpreted in the light of previous experience and knowledge. Both spatial and temporal contextual information play a critical role in the…

Computer Vision and Pattern Recognition · Computer Science 2019-09-26 Mengmi Zhang , Claire Tseng , Karla Montejo , Joseph Kwon , Gabriel Kreiman

A growing number of researchers suggest that software process must be tailored to a project's context to achieve maximal performance. Researchers have studied 'context' in an ad-hoc way, with focus on those contextual factors that appear to…

Software Engineering · Computer Science 2021-02-19 Diana Kirk , Stephen G. MacDonell

Code intelligence is an emerging domain in software engineering, aiming to improve the effectiveness and efficiency of various code-related tasks. Recent research suggests that incorporating contextual information beyond the basic original…

Software Engineering · Computer Science 2026-02-10 Yanlin Wang , Kefeng Duan , Dewu Zheng , Ensheng Shi , Fengji Zhang , Yanli Wang , Jiachi Chen , Xilin Liu , Yuchi Ma , Hongyu Zhang , Qianxiang Wang , Zibin Zheng

Generative AI models perturb the foundations of effective human communication. They present new challenges to contextual confidence, disrupting participants' ability to identify the authentic context of communication and their ability to…

Artificial Intelligence · Computer Science 2024-01-26 Shrey Jain , Zoë Hitzig , Pamela Mishkin

Reading a document and extracting an answer to a question about its content has attracted substantial attention recently. While most work has focused on the interaction between the question and the document, in this work we evaluate the…

Computation and Language · Computer Science 2018-09-05 Shimi Salant , Jonathan Berant

The experience and adoption of conversational search is tied to the accuracy and completeness of users' mental models -- their internal frameworks for understanding and predicting system behaviour. Thus, understanding these models can…

Human-Computer Interaction · Computer Science 2025-06-05 Chadha Degachi , Samuel Kernan Freire , Evangelos Niforatos , Gerd Kortuem

Karl Marx once wrote that ``the human essence is the ensemble of social relations'', suggesting that individuals are not isolated entities but are fundamentally shaped by their interactions with other entities, within which contexts play a…

Artificial Intelligence · Computer Science 2025-10-31 Qishuo Hua , Lyumanshan Ye , Dayuan Fu , Yang Xiao , Xiaojie Cai , Yunze Wu , Jifan Lin , Junfei Wang , Pengfei Liu

Modern sequential recommender systems commonly use transformer-based models for next-item prediction. While these models demonstrate a strong balance between efficiency and quality, integrating interleaving features - such as the query…

Information Retrieval · Computer Science 2025-08-13 Andrii Dzhoha , Alisa Mironenko , Evgeny Labzin , Vladimir Vlasov , Maarten Versteegh , Marjan Celikik

A growing trend for information technology is to not just react to changes, but anticipate them as much as possible. This paradigm made modern solutions, such as recommendation systems, a ubiquitous presence in today's digital transactions.…

Networking and Internet Architecture · Computer Science 2017-04-12 Nicola Bui , Matteo Cesana , S. Amir Hosseini , Qi Liao , Ilaria Malanchini , Joerg Widmer

In this paper, we identify some of the limitations of current-day shape matching techniques. We provide examples of how contour-based shape matching techniques cannot provide a good match for certain visually similar shapes. To overcome…

Computer Vision and Pattern Recognition · Computer Science 2012-12-20 Vittal Premachandran , Ramakrishna Kakarala

As a result of the phenomenal proliferation of modern mobile Internet-enabled devices and the widespread utilization of wireless and cellular data networks, mobile users are increasingly requiring services tailored to their current context.…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-05-12 Elarbi Badidi , Larbi Esmahi

People in the Internet era have to cope with the information overload, striving to find what they are interested in, and usually face this situation by following a limited number of sources or friends that best match their interests. A…

Physics and Society · Physics 2013-03-26 Duanbing Chen , An Zeng , Giulio Cimini , Yi-Cheng Zhang
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