AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,530 papers
Networked systems involving thousands of LLM agents across different backbone models are simulated, in which agents interact through LLM-guided conversations and update their opinions over time, resulting in the emergence of opinion polarization.
The ability of Large Language Models (LLMs) to outperform humans on many intellectual tasks has created a difficult landscape for assessing student work. One strategy is designing assignments to be specifically difficult for AI. However, LLMs have been shown to perform well on general chemistry problems across topics,...
This record provides the evaluation data accompanying the paper “A Safety-First Two-Stage Mental Health SupportChatbot: Robust Crisis Routing andRetrieval-Grounded Response Generation” (SU26 DAP Group 4, FPT University, Can Tho Campus). The data is designed to stress-test the robustness of a two-stage mental-health sup...
SACMQ — South Asian Cultural Multilingual Question Dataset contains multilingual question-answering data in five South Asian languages: Bangla, Hindi, Urdu, Tamil, and Nepali. It was developed to evaluate large language models (LLMs) and Retrieval-Augmented Generation (RAG) systems on multilingual knowledge, with topic...
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Objective: To critically evaluate the current evidence regarding the application of generative artificial intelligence (GenAI) in oncology patient counselling, with particular emphasis on oncology pharmacy practice, and to distinguish direct oncology evidence from indirect evidence derived from general healthcare and o...
This report constitutes Deliverable D2.5 of Work Package 2 under the Horizon Europe-funded project Longitudinal Educational Achievements: Reducing Inequalities (LEARN; Grant Agreement No. 101132531). Focusing on Task 2.5, the report systematically examines the adoption, adaptation, and structural resistance to Evidence...
ABSTRACT The present monographic study constitutes a fundamental, interdisciplinary oeuvre of the V. A. Alekseev, establishing the theoretical and instrumentation foundation for the next generation of non-silicon computing paradigms. The monograph unfolds a rigorously sequential, mathematically verified formulaic frame...
Large Language Models (LLMs) are increasingly integrated into software systems used in healthcare, public administration, and customer service. Decisions about data collection, use, and retention can introduce privacy and security risks, reinforce biases, and affect people who interact with or are subject to these syst...
Large language models (LLMs) increasingly excel at mathematics tasks, but their unreliability limits their utility in mathematics research. A mitigation is to use LLMs to generate formal proofs in languages such as Lean, in which the compiler verifies every proof step. We present the first demonstration of this method’...
摘要 (Abstract) 当前人工智能研究广泛依赖大语言模型(LLMs)的自我反思与多智能体辩论,试图通过闭环交互实现“否定之否定”的螺旋式进化。本研究通过零数据集、零算力的实证观察,发现并命名了一种大模型的根本性系统缺陷:无主体自指坍塌(Subjectless Self-Referential Collapse, SSR-Collapse)。实验表明,当大模型在一个缺乏外部物理锚定的闭环中(...
The growing popularity of home fitness has led to an increase in home-based fitness training. Still, the lack of supervision by a trained professional has resulted in improper form, thereby increasing the risk of injury during exercise. Automated computer vision systems have also been developed to monitor exercise, but...
The widespread adoption of generative AI tools has created new methodological challenges for the validity of assessment in higher education. If a neural network can write code, how can a student's actual knowledge be assessed objectively? This study proposes a multifactor AI-assisted assessment model for the fair e...
A Blog post by Liquid AI on Hugging Face
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
Generative AI
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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