AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,214 papers
It is demonstrated that structured knowledge enrichment is critical for effective LLM-based multilingual concept normalization, while surface-form sensitivity and positional biases remain important challenges for fully automated clinical pipelines.
Translation quality estimation (QE) must support both sentence-level scoring and local error diagnosis under limited, heterogeneous supervision. This study proposes MCA-LLM-QEER, which combines leakage-controlled multi-source corpus augmentation, source-language/crosslingual/ target-language semantic evidence, explicit...
The Lean 4 developments accompanying the paper Evaluation orders on bracketings in the hyperoperation hierarchy by Toshihisa Urahigashi. Let H_r be the Goodstein hyperoperation hierarchy (H_1 addition, H_2 multiplication, H_3 exponentiation, H_4 tetration). For r ≥ 3 the operation is non-associative, so the value of a...
In this standardised benchmark, LLM chatbot interfaces provided generally favourable accuracy and information-quality scores but showed clinically relevant safety limitations, sparse source attribution and disclosure, and readability challenges.
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Purpose Delayed auditory feedback (DAF) has long been known to disrupt fluent speech, yet the underlying mechanisms remain a matter of debate. Some have hypothesized that interference occurs because of asynchronous sensory and motor rhythms, independent of the specific content of auditory inputs. The goal of this study...
Introduction Large language models (LLMs) such as ChatGPT are increasingly adopted in health professions education worldwide, yet evidence on their use among healthcare students in the Middle East remains limited. Methods This cross-sectional study assessed awareness, attitudes, and utilization of LLMs among healthcare...
A Chinese–Japanese NMT framework that integrates the pre-trained cross-lingual model Cross-lingual Language Model–RoBERTa with a Dynamic Weighted Iterative Back-Translation for Data Augmentation (DWIB-DA) strategy, providing theoretical insights into the synergistic effects of cross-lingual pretraining and dynamic data...
As early English education philosophies gain increasing attention among the younger generation of parents, a wealth of concepts, resources, and teaching methods for preschool English learning have emerged on online platforms. Many parents strive to seize the so‑called "critical window for language development" between...
Facial impressions are central to social interaction, shaping judgments of attractiveness, dominance, and trustworthiness. Although psychophysical research has identified factors that contribute to these impressions, computational methods, particularly deep learning, offer a complementary, data-driven identification of...
These findings support supervised use of large language models and evaluation approaches that assess reasoning and prioritisation as well as target detection and should not be interpreted as evidence that one model is clinically superior in real-world practice.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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