Results 41 to 50 of about 16,728 (252)

Biomedical retrieval-augmented generation for relation classification

Frontiers in Research Metrics and Analytics
The rapid expansion of biomedical literature requires automated methods for accurate and efficient information extraction. This study addresses relation classification: given a pair of annotated biomedical entities in a research article title and ...
Jannat, Charlie Dil, Tom Arodz, Bridget T. McInnes   +3 more
doaj   +1 more source

Corrective Retrieval Augmented Generation

Large language models (LLMs) inevitably exhibit hallucinations since the accuracy of generated texts cannot be secured solely by the parametric knowledge they encapsulate. Although retrieval-augmented generation (RAG) is a practicable complement to LLMs, it relies heavily on the relevance of retrieved documents, raising concerns about how the model ...
Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, Zhen-Hua Ling   +3 more
openaire   +3 more sources

Human iPSC‐Derived Tissue‐Engineered Nigrostriatal Pathway for Chronic Restoration of Dopaminergic Axon Tracts in a Rat Parkinson's Model

Advanced Healthcare Materials, EarlyView.
Inspired by conventional cell therapy and emerging bioengineering approaches, the tissue‐engineered nigrostriatal pathway (TE‐NSP) has an anatomically‐inspired design comprising a population of human dopaminergic neurons with unidirectional, long‐projecting axon tracts.
Wisberty J. Gordián‐Vélez, Dimple Chouhan, Kevin D. Browne, James Lim, Saarang P. Karandikar, Rodrigo A. España, John E. Duda, H. Isaac Chen, D. Kacy Cullen   +8 more
wiley   +1 more source

Hybrid retrieval generation for structured reasoning with large language models

Discover Artificial Intelligence
Large Language Models (LLMs) exhibit strong generative capabilities but remain limited in structured knowledge domains due to factual inconsistency, shallow multi-hop reasoning, and weak alignment with domain constraints.
Rathinasamy Muthusami, Kandhasamy Saritha   +1 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Improving negative rejection ability in language models: A review of fine-tuned LLMs, RAG, and RAFT

Journal of King Saud University: Computer and Information Sciences
Large Language Models (LLMs) excel in text understanding and generation but struggle to reject irrelevant, ambiguous, or misleading queries, termed negative rejection, impacting reliability in high-stakes contexts.
Li Bowen, Zhong Zhuoqing, Zhang Hengyu, Sun Xubin, Baha Ihnaini   +4 more
doaj   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

Resource-Constrained Evaluation of Quantized Local LLMs for Retrieval-Augmented Generation on a Reduced-Corpus Setting

IEEE Access
This paper studies retrieval-augmented generation (RAG) under a realistic local deployment constraint. Rather than proposing a new retriever or generator architecture, the paper evaluates how local, quantized RAG behaves when answer quality, provenance ...
Marcio L. Lima de Oliveira, Jes de Jesus Fiais Cerqueira   +1 more
doaj   +1 more source

Unlocking Terahertz Steganography: Authentication of Hidden Images in Flexible Media

Advanced Materials Technologies, EarlyView.
Hidden information in multilayered devices, such as steganographic portraits, is detected and authenticated using reflection‐mode terahertz time‐domain imaging. Image reconstruction relies on a dedicated figure‐of‐merit obtained by integrating the signal intensity over the time‐window associated with the reflection from the metallic mirror backing the ...
Tiziana Ritacco, Francesca Vittorioso, Dimitrios C. Zografopoulos, Romeo Beccherelli, Walter Fuscaldo   +4 more
wiley   +1 more source

Turning Light Into Matter: Programmable Microstructures Via Dose Control in Two‐Photon Polymerization

Advanced Optical Materials, EarlyView.
This work augments two‐photon polymerization with point‐wise dose control, enabling structures with heterogeneous material properties such as refractive index. An open source toolbox and superior calibration methodology for the refractive index pave the way for bio‐mimicking or numerically optimized structure designs, and enhance the synergy between 3D
Michał Ziemczonok, Koen Vanmol
wiley   +1 more source