This study examines how sociotechnical imaginaries of artificial intelligence (AI) in cultural heritage are organised across institutionally differentiated Chinese news media and reproduced over time. Drawing on nine outlets from 2022–2025, it combines exploratory computational mapping, thematic analysis, relation-focused lexical indicators, independent double coding, and temporal modelling. The primary analysis uses a 232-case high-precision semantic core, checked against a 357-case sensitivity set. The findings identify a recurring normative orientation in which AI is positioned as culturally beneficial through two overlapping configurations: cultural revival and memory infrastructure. Cultural revival is widely shared across analytical positions, whereas memory infrastructure shows the clearest recurrent position-linked differentiation. Public actors are often visible, yet no case meets the strict criterion for explicitly attributed public definitional authority. Temporal tests show persistence in the broader orientation alongside uneven plasticity across articulation modes. The study develops differentiated coherence as a communication-level concept for explaining how a sociotechnical imaginary can remain recognisable through structured selective rearticulation, visibility–authority decoupling, and discursive reproduction without requiring uniform messages or implying causal institutional effects.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.