CompanyAnthropic3 recent entries1 May 2026Agentic Education: Using Claude Code to Teach Claude CodearXiv:2604.17460v2 Announce Type: replace-cross Abstract: AI coding assistants have proliferated rapidly, yet structured pedagogical frameworks for learning these tools remain scarce. Developers face →20 May 2026Entry-level guide to the use of large language models for medical researcharXiv:2410.18856v4 Announce Type: replace Abstract: Frontier large language models (LLMs), such as GPT-5, Claude 4.5, Gemini 3, Llama 4, and DeepSeek-R1, represent a transformative class of AI tools c
CompanyOpenAI8 recent entries28 Aug 2026The BS-meter: Detecting Politics and Labour through ChatGPT's LanguagearXiv:2411.15129v3 Announce Type: replace-cross Abstract: What can we learn about language from studying how it is used by ChatGPT and other large language model (LLM)-based chatbots? In this paper, w→7 Sept 2026Who Should Grade My Work? Student Perspectives on Transparent AI-Assisted Writing Assessment in Higher EducationarXiv:2609.05346v1 Announce Type: new Abstract: The integration of GenAI tools into higher education assessment raises important questions about how students understand, interpret, and respond to AI-m→9 Sept 2026A Specialized Large Multimodal Model for Interpreting PET/CT in Head and Neck CancerarXiv:2609.05532v1 Announce Type: new Abstract: Background: Diagnosing head and neck cancer using PET/CT is clinically challenging and time-consuming due to the anatomical complexity of the region, mo→16 Sept 2026Beyond 'ChatGPT Can Make Mistakes': Designing Interventions to Support Metacognitive Monitoring in AI-Assisted WorkarXiv:2609.17065v1 Announce Type: cross Abstract: AI assistance places a metacognitive demand on users, who must judge their own competence and the system's. Yet designers lack comparative evidence on→25 Sept 2026How To Do Things With PromptsarXiv:2609.29657v1 Announce Type: new Abstract: When users address large language models, they produce directive speech acts whose pragmatic features differ from those of both everyday conversation an→25 Sept 2026Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486v5 Announce Type: replace Abstract: This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, sp→30 Sept 2026The Uneven Decline of Collective Knowledge Production: Evidence from Stack Overflow After Generative AIarXiv:2609.36069v1 Announce Type: cross Abstract: Generative AI (Gen AI) is reshaping how individuals learn and work, but its consequences for collective knowledge, the shared body of knowledge that o→5 Oct 2026The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?arXiv:2610.02281v1 Announce Type: new Abstract: Societal resilience research relies on access to useful and actionable data, which motivates our main research question: Can annual reports, processed a
CompanyGoogle3 recent entries20 May 2026Entry-level guide to the use of large language models for medical researcharXiv:2410.18856v4 Announce Type: replace Abstract: Frontier large language models (LLMs), such as GPT-5, Claude 4.5, Gemini 3, Llama 4, and DeepSeek-R1, represent a transformative class of AI tools c→6 Aug 2026The RAIL Principles for Neurosymbolic AI: Reasoning, Assurances, Interfacing and LearningarXiv:2608.04285v1 Announce Type: new Abstract: Neurosymbolic AI systems that integrate machine learning and symbolic reasoning are rapidly gaining attention. They complement the data-intensive statis→10 Aug 2026TaskSense: Focusing on What Matters in World ModelsarXiv:2608.06544v1 Announce Type: new Abstract: World models for visual control typically learn compact latent states by reconstructing observations, implicitly encouraging representations to preserve
CompanyMeta8 recent entries5 Aug 2026TaskPress: Query-Agnostic KV Cache Compression via Task-Guided PruningarXiv:2608.03276v1 Announce Type: new Abstract: Long-context inference with large language models is constrained by the linear growth of the key-value cache to sequence length. While pruning offers mi→20 Aug 2026Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale DatasetsarXiv:2608.18907v1 Announce Type: cross Abstract: Small-scale image classification is often limited by the scarcity of training data. Generative data augmentation (GDA) based on pretrained generative →28 Aug 2026Systematic Literature Review of Machine Learning Models and Applications for Text RecognitionarXiv:2608.26500v1 Announce Type: new Abstract: Optical Character Recognition (OCR) for text recognition using machine vision has significantly improved, particularly when handling heterogeneous textu→4 Sept 2026OBER+: Continuity-Aware Reporting and Traceable Continuous Improvement in Outcome-Based EducationarXiv:2609.03770v1 Announce Type: cross Abstract: Institutions practising outcome-based education compute learning outcome attainment routinely, while reviews of curriculum analytics report an absence→7 Oct 2026Novice Reliance Calibration in AI-Assisted Decision Making: The Role of Explanations and Self-AssessmentarXiv:2610.07800v1 Announce Type: cross Abstract: Artificial Intelligence (AI) tools are widely used to support decision making in tasks and domains where no immediate performance feedback is availabl→7 Oct 2026MetaLearnNCA: Few-Shot Offline Meta-Learning via Interacting Neural Cellular AutomataarXiv:2610.08479v1 Announce Type: cross Abstract: Few-shot meta-learning traditionally formulates task adaptation either as analytical gradient descent through unrolled computational graphs or as metr→7 Oct 2026Mathematical Proof Assistants for Teaching Logic: The LogiKEy MethodologyarXiv:2610.08214v1 Announce Type: new Abstract: We report on an approach to teaching logic to mixed groups of computer science, mathematics, and philosophy students, based on the logico-pluralistic Lo→9 Oct 2026Neural Decoding as Cognitive InferencearXiv:2610.11923v1 Announce Type: cross Abstract: The brain maintains stable cognition despite continuously changing neural activity. How to extract stable cognitive states from variable neural observ
CompanyxAI8 recent entries11 May 2026Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEEarXiv:2605.07034v1 Announce Type: cross Abstract: Modern cybersecurity relies heavily on static machine-learning-based malware classifiers. However, transformations such as packing and other non-seman→9 Jun 2026XAInomaly: Explainable and Interpretable Deep Contractive Autoencoder for O-RAN Traffic Anomaly DetectionarXiv:2502.09194v1 Announce Type: cross Abstract: Generative Artificial Intelligence (AI) techniques have become integral part in advancing next generation wireless communication systems by enabling s→23 Jun 2026Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature AttributionarXiv:2606.22314v1 Announce Type: cross Abstract: Path-based attribution methods such as Integrated Gradients (IG) are widely adopted for their strong axiomatic properties and effectiveness in attribu→29 Jun 2026Explainable AI for Biodiversity Monitoring and Ecological Image AnalysisarXiv:2606.27667v1 Announce Type: cross Abstract: Artificial intelligence is transforming biodiversity monitoring by enabling automated analysis of ecological imagery collected from camera traps, dron→29 Jul 2026On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and TaxonomyarXiv:2510.12201v2 Announce Type: replace Abstract: As AI becomes more common in everyday living, there is an increasing demand for intelligent systems that are both performant and understandable. Exp→15 Sept 2026Interpreting hierarchical organisation of speaker embeddingsarXiv:2609.15203v1 Announce Type: cross Abstract: Speaker recognition neural networks learn latent representations (i.e. speaker embeddings) from input utterances to recognise speaker identities. Howe→28 Sept 2026Probabilistic Robustness-driven Universal Adversarial Perturbations with Explainability against Deep Reinforcement Learning-based Intrusion Detection SystemarXiv:2609.30605v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) enables adaptive intrusion detection in dynamic network environments but also exposes intrusion detection systems (IDS→7 Oct 2026Generalizable Robustness Testing of DNN-Based Robotic Navigation Systems via XAI-Guided SearcharXiv:2610.06862v1 Announce Type: new Abstract: **Context:** Deep Neural Networks (DNNs) increasingly control Cyber-Physical Systems (CPSs), yet small input perturbations can cause unsafe system-level
CompanyDeepSeek1 recent entries20 May 2026Entry-level guide to the use of large language models for medical researcharXiv:2410.18856v4 Announce Type: replace Abstract: Frontier large language models (LLMs), such as GPT-5, Claude 4.5, Gemini 3, Llama 4, and DeepSeek-R1, represent a transformative class of AI tools c