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Complex QA & language models hybrid architectures, Survey
Attention is Turing-Complete
OpenNovelty: An LLM-powered Agentic System for Verifiable Scholarly Novelty Assessment
Heterochronic parabiosis: historical perspective and methodological considerations for studies of aging and longevity
Open-ended Scientific Discovery via Bayesian Surprise
Integrating context compression and structural representation in large language models for financial text generation
journal.pone.0277042
Optimizing RAG with Hybrid Search and Contextual Chunking
Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Combination of research questions and methods: A new measurement of scientific novelty
SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI
SEMI E82-1106 Sp... Interbay_Intrabay AMHS SEM(IBSEM)
Knowledge-Based Visual Question Generation
Attention is Turing-Complete
What If Ethics Got in the Way of Generative AI?
From generation to judgment: Opportunities and challenges of llm-as-a-judge
Exploring large language model based intelligent agents: Definitions, methods, and prospects
The rise of AI search: Implications for information markets and human judgement at scale
ARE AI-GENERATED TEXTS DETECTABLE? AN EXPERIMENTAL STUDY USING THE LIBAUC LIBRARY
SCAN: Structured Capability Assessment and Navigation for LLMs
Writing literature reviews with AI: principles, hurdles and some lessons learned
Resummation of the C-Parameter Sudakov Shoulder Using Effective Field Theory
Artificial intelligence to automate the systematic review of scientific literature
Ocrbench: on the hidden mystery of ocr in large multimodal models
Videomamba: State space model for efficient video understanding
高参与度科普类微博知识内容价值共创研究_崔竞烽
与用户共创图书馆的知识服务价值——云舟知识空间的用户智慧融入案例及其启示_李杨(1)
STREET-LEVEL_BUREAUCRACY_AND_PUBLIC_POLICIES_ANALY