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natural language processing

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• Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems
  2026 · AI Agent 生态 · Affordance-Compiled Intelligence develops Cognitive Impedance Matching Theory (CIMT), an observable-only and no-meta protected compiler theory for LLM-integrated systems. The paper studies how a fixed model-policy can ex…
• Foundations and Evolution of NLP: Concepts, Architectures, Techniques, Mathematical Principles and Emerging Paradigms
  2026 · AI Agent 生态 · \textbf{Background:}Natural Language Processing (NLP) has evolved from rule-based and statistical approaches to deep learning, transformer architectures, large language models, retrieval-augmented generation, semantic em…
• Foundations and Evolution of NLP: Concepts, Architectures, Techniques, Mathematical Principles and Emerging Paradigms
  2026 · AI Agent 生态 · \textbf{Background:}Natural Language Processing (NLP) has evolved from rule-based and statistical approaches to deep learning, transformer architectures, large language models, retrieval-augmented generation, semantic em…
• Autonomous Event Driven Multi Agent Orchestration for Enterprise AI at Scale
  2026 · AI Agent 生态 · Enterprise AI aims to move toward continuous event monitoring, detection, and action across specialist agents, yet existing multi-agent systems largely assume discrete request-response workflows and remain underexplored …
• General-purpose large language models outperform specialized clinical AI tools on medical benchmarks
  2026 · AI 安全与对齐 · Specialized clinical artificial intelligence (AI) tools are entering medical practice despite scarce independent evaluation. We quantitatively evaluate two clinical AI tools, OpenEvidence and UpToDate Expert AI, built on…
• Generative AI for automatic topic labelling
  2026 · AI 安全与对齐 · Topic modelling has become a prominent tool for the study of scientific fields, as they allow for a large-scale interpretation of research trends. Nevertheless, the output of these models is structured as a list of keywo…
• Moltbook Discourse Dataset: AI Agent Communication Traces (January–February 2026)
  2026 · AI 安全与对齐 · Complete discourse corpus from Moltbook, the first large-scale AI-only social network. Contains 361,605 posts and 2,828,465 comments from 47,379 agents collected over 23 days (January 27 – February 18, 2026). Includes fu…
• Medicura: AI-Based Medical Report Analysis and Healthcare Recommendation Platform
  2026 · 医疗人工智能 · The growing demand for accessible and intelligent healthcare solutions has increased the need for systems that can provide medical assistance in a simple, efficient, and user-friendly manner. Many individuals face diffic…
• Medicura: AI-Based Medical Report Analysis and Healthcare Recommendation Platform
  2026 · 医疗人工智能 · The growing demand for accessible and intelligent healthcare solutions has increased the need for systems that can provide medical assistance in a simple, efficient, and user-friendly manner. Many individuals face diffic…
• mailcom: Pseudonymization Tool for Textual Data
  2026 · 医疗人工智能 · The rapid growth of data and its usage by Artificial Intelligence applications leads to heightened concerns about data privacy. Researchers often need to analyze datasets that contain personal information, sometimes pair…
• mailcom: Pseudonymization Tool for Textual Data
  2026 · 医疗人工智能 · The rapid growth of data and its usage by Artificial Intelligence applications leads to heightened concerns about data privacy. Researchers often need to analyze datasets that contain personal information, sometimes pair…
• D2M (design-to-manufacturing) by integrating digital twins and large language models: conceptual framework
  2026 · 数字孪生 · The rapid growth of digital technologies and artificial intelligence has made digital twins (DTs) and large language models (LLMs) core tools in smart manufacturing. This paper presents a review of DT-LLM integration in …
• SYNERGY+
  2026 · 生命科学 · SYNERGY+ is the successor of SYNERGY, a free and open dataset on study selection in systematic reviews. When using this dataset, please cite the accompanying preprint: <blockquote> van der Kuil, T., Westerbeek, E.,…
• CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID
  2026 · 隐私计算与数据要素 · Federated domain generalization for person re-identification (FedDG-ReID) aims to collaboratively train a pedestrian retrieval model across multiple decentralized source domains such that it can generalize to unseen targ…
• SciCoQA: Quality Assurance for Scientific Paper--Code Alignment
  2026 · 合成生物与生物制造 · Discrepancies between scientific papers and their code undermine reproducibility, a concern that grows as automated research agents scale scientific output beyond human review capacity. Whether LLMs can reliably detect s…
• Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
  2025 · AI Agent 生态 · Recommender models capture ever-changing user preferences by training with in-domain user behavior data. These models are typically lightweight, facilitating real-time and large-scale online services. However, these mode…
• SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity Translation
  2025 · AI Agent 生态 · This paper describes the machine translation system submitted to the SemEval-2025 Entity-Aware Machine Translation Task by the SheffieldGATE Team. We proposed a multi-agent entity-aware machine translation system that op…
• Fanar: An Arabic-Centric Multimodal Generative AI Platform
  2025 · AI 安全与对齐 · We present Fanar, a platform for Arabic-centric multimodal generative AI systems, that supports language, speech and image generation tasks. At the heart of Fanar are Fanar Star and Fanar Prime, two highly capable Arabic…
• Red Teaming AI Policy: A Taxonomy of Avoision and the EU AI Act
  2025 · AI 安全与对齐 · The shape of AI regulation is beginning to emerge, most prominently through the EU AI Act (the "AIA").By 2027, the AIA will be in full effect, and firms are starting to adjust their behavior in light of this new law.In t…
• Industrial applications of large language models
  2025 · AI 安全与对齐 · Large language models (LLMs) are artificial intelligence (AI) based computational models designed to understand and generate human like text. With billions of training parameters, LLMs excel in identifying intricate lang…
• Alignment for Efficient Tool Calling of Large Language Models
  2025 · AI 安全与对齐 · Recent advancements in tool learning have enabled large language models (LLMs) to integrate external tools, enhancing their task performance by expanding their knowledge boundaries.However, relying on tools often introdu…
• Comparison of accuracy and consistency of AI Language models when answering standardised dental MCQs
  2025 · AI 安全与对齐 · BACKGROUND: Artificial intelligence (AI) models have been increasingly integrated into dental education for assessment and learning support. However, their accuracy and reliability in assessment of dental knowledge requi…
• Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework
  2025 · AI 安全与对齐 · Generative AI, powered by large language models, is transforming consumer health by enhancing health literacy and delivering personalized health education. However, ensuring clinical safety and effectiveness requires a r…
• FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
  2025 · AI 安全与对齐 · Large Vision-Language Models (LVLMs) signify a groundbreaking paradigm shift within the Artificial Intelligence (AI) community, extending beyond the capabilities of Large Language Models (LLMs) by assimilating additional…
• A typology of physician input approaches to using AI chatbots for clinical decision-making
  2025 · AI 安全与对齐 · Recent studies have found that physicians with access to a large language model (LLM) chatbot during clinical reasoning tests may score no better to worse compared to the same chatbot performing alone with an input that …
• Emails by LLMs: A Comparison of Language in AI-Generated and Human-Written Emails
  2025 · AI 安全与对齐 · The growing excitement around generative AI (and LLMs) is fueling a heightened interest in the development of AI-assisted writing tools.One popular context is AI-assisted email writing, and this paper explores how AI-gen…
• GLAT: The generative AI literacy assessment test
  2025 · AI 驱动科学发现 · The rapid integration of generative artificial intelligence (GenAI) technology into education requires precise measurement of GenAI literacy to ensure that learners and educators possess the skills to engage with and cri…
• Sparse autoencoders uncover biologically interpretable features in protein language model representations
  2025 · 生物计算 · Foundation models in biology-particularly protein language models (PLMs)-have enabled ground-breaking predictions in protein structure, function, and beyond. However, the "black-box" nature of these representations limit…
• Artificial Intelligence in Chronic Disease Management for Aging Populations: A Systematic Review of Machine Learning and NLP Applications
  2025 · 医疗人工智能 · As China's elderly population grows rapidly and the aging society arrives, the number of elderly patients with chronic diseases (mainly including chronic cardiovascular and cerebrovascular diseases, respiratory diseases,…
• Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness
  2025 · 医疗人工智能 · Large Language Models (LLMs) hold promise for medical applications but often lack domain-specific expertise. Retrieval Augmented Generation (RAG) enables customization by integrating specialized knowledge. This study ass…
• Toward expert-level medical question answering with large language models
  2025 · 医疗人工智能 · Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges…
• Small language models learn enhanced reasoning skills from medical textbooks
  2025 · 医疗人工智能 · Small language models (SLM) offer promise for medical applications by addressing the privacy and hardware constraints of large language models; however, their limited parameters (often fewer than ten billion) hinder mult…
• Accuracy of Artificial Intelligence vs Professionally Translated Discharge Instructions
  2025 · 医疗人工智能 · Importance: Patients using languages other than English are a group at risk of poor health outcomes and encounter barriers to access of translated written materials. Although artificial intelligence (AI) may offer an opp…
• Assisted artificial intelligence in medical writing: a primer for humans
  2025 · 医疗人工智能 · Assisted artificial intelligence (A-AI) has rapidly become a gold standard approach for conducting data analysis and medical writing [1]. From executing complex statistical tasks to extracting relevant information and su…
• The DRAGON benchmark for clinical NLP
  2025 · 医疗人工智能 · Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Langua…
• Evaluating AI Tools for COPD Management: NLP-Based Identification of Exacerbations in Local EHRs
  2025 · 医疗人工智能 · In this study we evaluate the performance of classical machine learning models, and transformer?based models (BioClinicalBERT and large language models (LLMs) for the automatic identification of COPD exacerbations using …
• High-level visual representations in the human brain are aligned with large language models
  2025 · 仿生智能 · The human brain extracts complex information from visual inputs, including objects, their spatial and semantic interrelations, and their interactions with the environment. However, a quantitative approach for studying th…
• FAST: Efficient Action Tokenization for Vision-Language-Action Models
  2025 · 具身智能 · Autoregressive sequence models, such as Transformer-based vision-language action (VLA) policies, can be tremendously effective for capturing complex and generalizable robotic behaviors.However, such models require us to …
• Leveraging Natural Language Processing in Conversational AI Agents to Improve Healthcare Security
  2024 · AI Agent 生态 · While the widespread adoption of healthcare information technology has many positive outcomes, it has also presented new obstacles for protecting patient information. Natural language processing (NLP)-enabled conversatio…
• Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models
  2024 · AI Agent 生态 · We propose a methodology that combines several advanced techniques in Large Language Model (LLM) retrieval to support the development of robust, multi-source questionanswer systems. This methodology is designed to integr…
• Enhancing AI Systems with Agentic Workflows Patterns in Large Language Model
  2024 · AI Agent 生态 · This paper explores the significant shift towards agentic workflows in the application of Large Language Models (LLMs), moving away from traditional, linear interactions between users and AI. Through a case study analysi…
• SunoCaps: A novel dataset of text-prompt based AI-generated music with emotion annotations
  2024 · AI 安全与对齐 · The SunoCaps dataset aims to provide an innovative contribution to music data. Expert description of human-made musical pieces, from the widely used MusicCaps dataset, are used as prompts for generating complete songs fo…
• XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models
  2024 · AI 安全与对齐 · In this survey, we address the key challenges in Large Language Models (LLM) research, focusing on the importance of interpretability. Driven by increasing interest from AI and business sectors, we highlight the need for…
• GPT is an effective tool for multilingual psychological text analysis
  2024 · AI 安全与对齐 · The social and behavioral sciences have been increasingly using automated text analysis to measure psychological constructs in text. We explore whether GPT, the large-language model (LLM) underlying the AI chatbot ChatGP…
• Exploring Multilingual Concepts of Human Values in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
  2024 · AI 安全与对齐 · Prior research has revealed that certain abstract concepts are linearly represented as directions in the representation space of LLMs, predominantly centered around English.In this paper, we extend this investigation to …
• Exploring Lexical Alignment in a Price Bargain Chatbot
  2024 · AI 安全与对齐 · This study investigates the integration of lexical alignment into text-based negotiation chatbots, including its impact on user satisfaction, perceived trustworthiness, and potential influences on negotiation results. Le…
• Towards Tool Use Alignment of Large Language Models
  2024 · AI 安全与对齐 · Recently, tool use with LLMs has become one of the primary research topics as it can help LLM generate truthful and helpful responses.Existing studies on tool use with LLMs primarily focus on enhancing the tool-calling a…
• Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification
  2024 · AI 安全与对齐 · The fine-grained attribute descriptions can significantly supplement the valuable semantic information for person image, which is vital to the success of person re-identification (ReID) task. However, current ReID algori…
• Harnessing the Power of AI-Generated Content for Semantic Communication
  2024 · AI 安全与对齐 · Semantic Communication (SemCom) is envisaged as the next-generation paradigm to address challenges stemming from the conflicts between the increasing volume of transmission data and the scarcity of spectrum resources. Ho…
• Hybrid Alignment Training for Large Language Models
  2024 · AI 安全与对齐 · Alignment training is crucial for enabling large language models (LLMs) to cater to human intentions and preferences.It is typically performed based on two stages with different objectives: instruction-following alignmen…
• Annotation alignment: Comparing LLM and human annotations of conversational safety
  2024 · AI 安全与对齐 · Do LLMs align with human perceptions of safety?We study this question via annotation alignment, the extent to which LLMs and humans agree when annotating the safety of userchatbot conversations.We leverage the recent DIC…
• Conversational AI with large language models to increase the uptake of clinical guidance
  2024 · AI 安全与对齐 · The rise of large language models (LLMs) and conversational applications, like ChatGPT, prompts Health Technology Assessment (HTA) bodies, such as NICE, to rethink how healthcare professionals access clinical guidance. I…
• Trust in a Human-Computer Collaborative Task With or Without Lexical Alignment
  2024 · AI 安全与对齐 · Lexical alignment is a form of personalization frequently found in human-human conversations. Recently, attempts have been made to incorporate it in human-computer conversations. We describe an experiment to investigate …
• EAV: EEG-Audio-Video Dataset for Emotion Recognition in Conversational Contexts
  2024 · AI 安全与对齐 · Understanding emotional states is pivotal for the development of next-generation human-machine interfaces. Human behaviors in social interactions have resulted in psycho-physiological processes influenced by perceptual i…
• Effect of tokenization on transformers for biological sequences
  2024 · 生物计算 · MOTIVATION: Deep-learning models are transforming biological research, including many bioinformatics and comparative genomics algorithms, such as sequence alignments, phylogenetic tree inference, and automatic classifica…
• Interpretation of Clinical Retinal Images Using an Artificial Intelligence Chatbot
  2024 · 医疗人工智能 · Purpose To assess the performance of ChatGPT-4 in providing accurate diagnoses to retina teaching cases from OCTCases. Design Cross-sectional study. Subjects Retina teaching cases from OCTCases. Methods We prompted a cus…
• Comparative Analysis of Accuracy, Readability, Sentiment, and Actionability: Artificial Intelligence Chatbots (ChatGPT and Google Gemini) versus Traditional Patient Information Leaflets for Local Anesthesia in Eye Surgery
  2024 · 医疗人工智能 · Background and Aim: Eye surgeries often evoke strong negative emotions in patients, including fear and anxiety. Patient education material plays a crucial role in informing and empowering individuals. Traditional sources…
• Artificial Intelligence in Multilingual Interpretation and Radiology Assessment for Clinical Language Evaluation (AI-MIRACLE)
  2024 · 医疗人工智能 · The AI-MIRACLE Study investigates the efficacy of using ChatGPT 4.0, a large language model (LLM), for translating and simplifying radiology reports into multiple languages, aimed at enhancing patient comprehension. The …
• Translating ophthalmic medical jargon with artificial intelligence: a comparative comprehension study
  2024 · 医疗人工智能 · OBJECTIVE: Our goal was to evaluate the efficacy of OpenAI's ChatGPT-4.0 large language model (LLM) in translating technical ophthalmology terminology into more comprehensible language for allied health care professional…
• Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
  2024 · 医疗人工智能 · BACKGROUND: Electronic health records (EHRs) and routine documentation practices play a vital role in patients' daily care, providing a holistic record of health, diagnoses, and treatment. However, complex and verbose EH…

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