{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T01:08:12Z","timestamp":1779930492302,"version":"3.53.1"},"reference-count":67,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,12,1]],"date-time":"2026-12-01T00:00:00Z","timestamp":1796083200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering & System Safety"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1016\/j.ress.2026.112897","type":"journal-article","created":{"date-parts":[[2026,5,18]],"date-time":"2026-05-18T06:03:56Z","timestamp":1779084236000},"page":"112897","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A proactive safety management method in machining workshops driven by expert knowledge and hybrid retrieval-augmented generation"],"prefix":"10.1016","volume":"276","author":[{"given":"Jinming","family":"Hu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofeng","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hangyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huanggang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2026.112897_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2025.107006","article-title":"Digital twin in construction safety management: recent advances, challenges, and future directions from 4M1E perspective","volume":"192","author":"Han","year":"2025","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112897_bib0002","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.psep.2024.01.035","article-title":"Systematic review of chemical safety and chemical security risk management approach","volume":"183","author":"Fouzi","year":"2024","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0003","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1016\/j.psep.2024.06.107","article-title":"Quantitative assessment of human error of emergency behavior for hazardous chemical spills in chemical parks","volume":"189","author":"Wang","year":"2024","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0004","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.psep.2018.12.007","article-title":"An impacting factors analysis of miners\u2019 unsafe acts based on HFACS-CM and SEM","volume":"122","author":"Liu","year":"2019","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0005","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.psep.2022.11.086","article-title":"Modelling and analysis of unsafe acts in coal mine gas explosion accidents based on network theory","volume":"170","author":"Yuxin","year":"2023","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108773","article-title":"Dynamic coupling risk assessment model of utility tunnels based on multimethod fusion","volume":"228","author":"Hai","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.jlp.2022.104883","article-title":"BN & CFD-based quantitative risk assessment of the natural gas explosion in utility tunnels","volume":"80","author":"Bai","year":"2022","journal-title":"J Loss Prev Process Ind"},{"key":"10.1016\/j.ress.2026.112897_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2022.105809","article-title":"Customised risk assessment in manufacturing: a step towards the future of occupational safety management","volume":"154","author":"Comberti","year":"2022","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112897_bib0009","article-title":"Enhancing safety measures in manufacturing facilities: a comprehensive assessment of dust control and explosion mitigation systems","volume":"201","author":"Vignesh","year":"2025","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0010","article-title":"Prediction model for vertical distribution of oil particles under thermal plume and displacement ventilation in a machining workshop","volume":"88","author":"Meng","year":"2024","journal-title":"J Build Eng"},{"key":"10.1016\/j.ress.2026.112897_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.buildenv.2023.110764","article-title":"Shape optimization of the exhaust hood in machining workshops by a discrete adjoint method","volume":"244","author":"Liu","year":"2023","journal-title":"Build Env"},{"key":"10.1016\/j.ress.2026.112897_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110255","article-title":"Energy-based coupling risk assessment (CRA) model for urban underground utility tunnels","volume":"250","author":"Bai","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0014","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1016\/j.psep.2023.02.082","article-title":"Uncertainties and their treatment in the quantitative risk assessment of domino effects: classification and review","volume":"172","author":"Xu","year":"2023","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.firesaf.2025.104485","article-title":"Assessing the probability of fire and explosion accidents from unsafe behaviors in laboratories: an innovative approach integrating object detection and behavior deduction","volume":"157","author":"Hu","year":"2025","journal-title":"Fire Saf J"},{"key":"10.1016\/j.ress.2026.112897_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110194","article-title":"Dynamic human error risk assessment of group decision-making in extreme cooperative scenario","volume":"249","author":"Qiao","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.110455","article-title":"A conceptual risk modelling for cargo tank fire\/explosion in chemical tanker by using Evidential Reasoning -SLIM and Bayesian belief network approach","volume":"252","author":"Sezer","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2026.112323","article-title":"Analysis of urban hydrogen-blended natural gas pipeline leak failure and accident evolution based on the combination of causal inference and probabilistic machine learning","volume":"273","author":"Lin","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111669","article-title":"Probabilistic risk assessment for inert gas system on oil tanker ships using system theoretic accident model and process (STAMP) and bayesian belief network (BBN)","volume":"266","author":"Ceylan","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2026.112255","article-title":"Causal analysis of ship inspection data and maritime accidents through causal neural networks","volume":"271","author":"Liu","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0021","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1038\/s41586-025-09422-z","article-title":"DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning","volume":"645","author":"Guo","year":"2025","journal-title":"Nature"},{"key":"10.1016\/j.ress.2026.112897_bib0022","doi-asserted-by":"crossref","DOI":"10.1016\/j.enbuild.2024.114827","article-title":"Driving sustainable energy transitions with a multi-source RAG-LLM system","volume":"324","author":"Arslan","year":"2024","journal-title":"Energy Build"},{"key":"10.1016\/j.ress.2026.112897_bib0023","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125914","article-title":"RAG-based explainable prediction of road users behaviors for automated driving using knowledge graphs and large language models","volume":"265","author":"Hussien","year":"2025","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.112897_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.firesaf.2023.104085","article-title":"Human behaviour in fire: knowledge foundation and temporal evolution","volume":"144","author":"Haghani","year":"2024","journal-title":"Fire Saf J"},{"key":"10.1016\/j.ress.2026.112897_bib0025","article-title":"Occupational exposure of lead and cadmium on adolescent and adult workers of battery recycling and welding workshops: adverse impact on health","volume":"720","author":"Baloch","year":"2020"},{"key":"10.1016\/j.ress.2026.112897_bib0026","doi-asserted-by":"crossref","DOI":"10.1016\/j.ssci.2023.106067","article-title":"Human error contribution to accidents in the manufacturing sector: a structured approach to evaluate the interdependence among performance shaping factors","volume":"161","author":"La Fata","year":"2023","journal-title":"Saf Sci"},{"key":"10.1016\/j.ress.2026.112897_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.107880","article-title":"System risk quantification and decision making support using functional modeling and dynamic Bayesian network","volume":"215","author":"Kim","year":"2021","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0028","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.1016\/j.psep.2024.05.047","article-title":"Vulnerability analysis of super high-rise building security system based on Bayesian network and digital twin technology","volume":"187","author":"Hu","year":"2024","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0029","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1016\/j.psep.2022.04.048","article-title":"A probabilistic framework for risk management and emergency decision-making of marine oil spill accidents","volume":"162","author":"Li","year":"2022","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108760","article-title":"Dynamic risk assessment framework for industrial systems based on accidents chain theory: the case study of fire and explosion risk of UHV converter transformer","volume":"228","author":"Feng","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0031","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1139\/facets-2025-0011","article-title":"Blossoming instantiations in FRAM: a temporal tensor framework for socio-technical systems","volume":"10","author":"Falegnami","year":"2025","journal-title":"Facets"},{"key":"10.1016\/j.ress.2026.112897_bib0032","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1007\/s11740-025-01373-8","article-title":"Resilience of aluminum production processes: analyzing variability propagation with the functional random walker","volume":"19","author":"Simone","year":"2025","journal-title":"Prod Eng"},{"key":"10.1016\/j.ress.2026.112897_bib0033","series-title":"The last five years (2019\u20132024) of fram literature. navigating the fram","first-page":"36","author":"Falegnami","year":"2025"},{"key":"10.1016\/j.ress.2026.112897_bib0034","doi-asserted-by":"crossref","DOI":"10.1002\/cpe.8252","article-title":"Assessment of reliability and availability of wireless sensor networks in industrial applications by considering permanent faults","volume":"36","author":"Heidari","year":"2024","journal-title":"Concurr Comput"},{"key":"10.1016\/j.ress.2026.112897_bib0035","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.psep.2019.12.001","article-title":"Supporting risk management decision making by converting linguistic graded qualitative risk matrices through interval type-2 fuzzy sets","volume":"134","author":"Hong","year":"2020","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.jlp.2021.104473","article-title":"Decision-making on process risk of Arctic route for LNG carrier via dynamic bayesian network modeling","volume":"71","author":"Li","year":"2021","journal-title":"J Loss Prev Process Ind"},{"key":"10.1016\/j.ress.2026.112897_bib0037","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1016\/j.psep.2024.04.147","article-title":"Towards decision-making support for complex socio-technical system safety assessment: a hybrid model combining FRAM and dynamic bayesian networks","volume":"187","author":"Delikhoon","year":"2024","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0038","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111280","article-title":"Quantitative analysis of risk propagation in urban rail transit: a novel ensemble learning method based on the structure of Bayesian Network","volume":"263","author":"Xu","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0039","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111022","article-title":"Kernel Reinforcement Learning for sampling-efficient risk management of large-scale engineering systems","volume":"260","author":"Zhang","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110885","article-title":"Developing a deep reinforcement learning model for safety risk prediction at subway construction sites","volume":"257","author":"Zhou","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0041","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109136","article-title":"A railway accident prevention method based on reinforcement learning \u2013 Active preventive strategy by multi-modal data","volume":"234","author":"Yan","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0042","series-title":"Access control and security monitoring of multimedia information processing and transmission","first-page":"51","article-title":"Machine\/deep learning techniques for multimedia security","author":"Heidari","year":"2023"},{"key":"10.1016\/j.ress.2026.112897_bib0043","article-title":"Botnets unveiled: a comprehensive survey on evolving threats and defense strategies","volume":"35","author":"Asadi","year":"2024","journal-title":"Trans Emerg Telecommun Technol"},{"key":"10.1016\/j.ress.2026.112897_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.112091","article-title":"FR-LLM: multi-task large language model with signal-to-text encoding and adaptive optimization for joint fault diagnosis and RUL prediction","volume":"269","author":"Lai","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.111973","article-title":"Lightweight multimodal LLM-empowered dual-agent collaboration for reliable defect detection and maintenance recommendation in tunnel infrastructure","volume":"268","author":"Yu","year":"2026","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0046","article-title":"A generative artificial-intelligence-based workbench to test new methodologies in organisational health and safety","volume":"14","author":"Falegnami","year":"2024","journal-title":"Appl Sci (Switz)"},{"key":"10.1016\/j.ress.2026.112897_bib0047","article-title":"Retrieval-augmented generation for educational application: a systematic survey","volume":"8","author":"Li","year":"2025","journal-title":"Comput Educ: Artif Intell"},{"key":"10.1016\/j.ress.2026.112897_bib0048","article-title":"Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete","volume":"23","author":"Shang","year":"2025","journal-title":"Case Stud Constr Mater"},{"key":"10.1016\/j.ress.2026.112897_bib0049","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2024.105926","article-title":"Effectiveness of retrieval augmented generation-based large language models for generating construction safety information","volume":"170","author":"Uhm","year":"2025","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.112897_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2024.104662","article-title":"Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records","volume":"156","author":"Alkhalaf","year":"2024","journal-title":"J Biomed Inf"},{"key":"10.1016\/j.ress.2026.112897_bib0051","doi-asserted-by":"crossref","DOI":"10.1016\/j.compind.2025.104330","article-title":"Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins","volume":"171","author":"Shi","year":"2025","journal-title":"Comput Ind"},{"key":"10.1016\/j.ress.2026.112897_bib0052","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2024.103007","article-title":"An advanced retrieval-augmented generation system for manufacturing quality control","volume":"64","author":"Heredia \u00c1lvaro","year":"2025","journal-title":"Adv Eng Inform"},{"key":"10.1016\/j.ress.2026.112897_bib0053","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.112410","article-title":"Retrieval augmented generation using engineering design knowledge","volume":"303","author":"Siddharth","year":"2024","journal-title":"Knowl Based Syst"},{"key":"10.1016\/j.ress.2026.112897_bib0054","article-title":"Improving knowledge management in building engineering with hybrid retrieval-augmented generation framework","volume":"103","author":"Wang","year":"2025","journal-title":"J Build Eng"},{"key":"10.1016\/j.ress.2026.112897_bib0055","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1016\/j.psep.2024.06.087","article-title":"A framework for process risk assessment incorporating prior hazard information in text mining models using chunking","volume":"189","author":"Sahoo","year":"2024","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0056","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.psep.2023.12.046","article-title":"A framework to model contractors\u2019 hazard and risk exposure at process plants using unsupervised text mining","volume":"183","author":"Sahoo","year":"2024","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0057","doi-asserted-by":"crossref","first-page":"8325","DOI":"10.1016\/j.eswa.2012.01.189","article-title":"A Delphi-based approach to developing and validating a farm food safety risk assessment tool by experts","volume":"39","author":"Soon","year":"2012","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2026.112897_bib0058","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1016\/j.measurement.2016.05.001","article-title":"Prioritizing deterioration factors of water pipelines using Delphi method","volume":"90","author":"Zangenehmadar","year":"2016","journal-title":"Measurement"},{"key":"10.1016\/j.ress.2026.112897_bib0059","doi-asserted-by":"crossref","DOI":"10.1016\/j.websem.2024.100844","article-title":"Knowledge graphs, large language models, and hallucinations: an NLP perspective","volume":"85","author":"Lavrinovics","year":"2025","journal-title":"J Web Semant"},{"key":"10.1016\/j.ress.2026.112897_bib0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.websem.2024.100853","article-title":"LLM experimentation through knowledge graphs: towards improved management, repeatability, and verification","volume":"85","author":"Erickson","year":"2025","journal-title":"J Web Semant"},{"key":"10.1016\/j.ress.2026.112897_bib0061","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2025.110814","article-title":"Network-based safety risk analysis and interactive dashboard for root cause identification in construction accident management","volume":"256","author":"Kumi","year":"2025","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2026.112897_bib0062","doi-asserted-by":"crossref","DOI":"10.1016\/j.psep.2025.107025","article-title":"HAZOPCT: a HAZOP analysis completeness tool based on knowledge graph reasoning","volume":"197","author":"Li","year":"2025","journal-title":"Process Saf Environ Prot"},{"key":"10.1016\/j.ress.2026.112897_bib0063","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114056","article-title":"A2CEM: a contrastive embedding framework for adversarial robustness in large language models","volume":"326","author":"Emre Erg\u00fcn","year":"2025","journal-title":"Knowl Based Syst"},{"key":"10.1016\/j.ress.2026.112897_bib0064","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2024.111740","article-title":"Improving dense retrieval models with LLM augmented data for dataset search","volume":"294","author":"Silva","year":"2024","journal-title":"Knowl Based Syst"},{"key":"10.1016\/j.ress.2026.112897_bib0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.129140","article-title":"ReZG: Retrieval-augmented zero-shot counter narrative generation for hate speech","volume":"620","author":"Jiang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ress.2026.112897_bib0066","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2026.104160","article-title":"Dual-layer prompt ensembles: leveraging system- and user-level instructions for robust LLM-based query expansion and rank fusion","volume":"131","author":"Li","year":"2026","journal-title":"Inf Fusion"},{"key":"10.1016\/j.ress.2026.112897_bib0067","doi-asserted-by":"crossref","DOI":"10.1016\/j.autcon.2024.105846","article-title":"Performance comparison of retrieval-augmented generation and fine-tuned large language models for construction safety management knowledge retrieval","volume":"168","author":"Lee","year":"2024","journal-title":"Autom Constr"},{"key":"10.1016\/j.ress.2026.112897_bib0068","unstructured":"Safehoo Safety Management Network. Safety accident case database n.d. https:\/\/www.safehoo.com\/Case\/(accessed August 20, 2025)."}],"container-title":["Reliability Engineering & System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026007076?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832026007076?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T00:44:50Z","timestamp":1779929090000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832026007076"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,12]]},"references-count":67,"alternative-id":["S0951832026007076"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2026.112897","relation":{},"ISSN":["0951-8320"],"issn-type":[{"value":"0951-8320","type":"print"}],"subject":[],"published":{"date-parts":[[2026,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A proactive safety management method in machining workshops driven by expert knowledge and hybrid retrieval-augmented generation","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2026.112897","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112897"}}