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
CompanyOpenAI4 recent entries14 Apr 2026Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing CollegesarXiv:2604.11111v1 Announce Type: cross Abstract: The rapid adoption of AI tools such as ChatGPT has significantly transformed academic practices, offering considerable benefits for both students and →1 May 2026Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge WorkersarXiv:2604.27231v1 Announce Type: cross Abstract: Freelance workers must continually acquire new skills to remain competitive in online labor markets, yet they lack the organizational training, mentor→21 May 2026Puzzled By ChatGPT? No more! A Jigsaw Puzzle to Promote AI Literacy and AwarenessarXiv:2605.20404v1 Announce Type: new Abstract: The rapid adoption of Generative AI, including LLM-based chatbots like ChatGPT, has highlighted the need for accessible ways to support public understan→28 May 2026Inversely Learning Transferable Rewards via Abstracted StatesarXiv:2501.01669v4 Announce Type: replace Abstract: Inverse reinforcement learning (IRL) has progressed significantly toward accurately learning the underlying rewards in both discrete and continuous
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 entries2 Jun 2026On the Difficulty of Learning a Meta-network for Training Data SelectionarXiv:2606.00571v1 Announce Type: cross Abstract: Synthetic data are increasingly used to train neural networks, yet distributional mismatch with real data limits their effectiveness when used indiscr→3 Jun 2026Re-Evaluating Continual Learning with Few-Shot AdaptationarXiv:2606.03843v1 Announce Type: cross Abstract: Continual learning methods aim to maximize the stability and plasticity of machine learning models that are trained on a sequence of tasks. The standa→6 Jun 2026GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional DataarXiv:2606.05441v1 Announce Type: cross Abstract: We investigate how to make small tabular foundation models effective for High-Dimensional, Low-Sample Size (HDLSS) tabular prediction without retraini→30 Jun 2026Distilling a Modular Reservoir Through a Genomic BottleneckarXiv:2606.28380v1 Announce Type: cross Abstract: The intricate structures of biological neural networks largely emerge during development, guided by a comparatively compressed blueprint encoded in th→2 Jul 2026Learning Cardiac Motion Priors for Implicit Neural RepresentationsarXiv:2607.00955v1 Announce Type: cross Abstract: Implicit neural representations (INRs) are well suited to cardiac motion estimation, providing continuous, compact representations of motion fields. H→9 Jul 2026Ensemble Deep Learning Approaches for AI-Altered Video DetectionarXiv:2607.06872v1 Announce Type: new Abstract: The increasing accessibility of artificial intelligence has led to a rapid rise in AI-generated videos, making it more difficult to distinguish between →10 Jul 2026Architecture Generalization with MetaNCAarXiv:2607.07743v1 Announce Type: cross Abstract: Self-organization is an emergent property of life, driven by the collective behavior of individual components acting on local information. Biological →5 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
CompanyxAI8 recent entries28 Apr 2026Explainable Artificial Intelligence Techniques for Interpretation of Food Models: a ReviewarXiv:2504.10527v2 Announce Type: replace Abstract: Artificial Intelligence (AI) has become essential for analyzing complex data and solving highly-challenging tasks. It is being applied across numero→28 Apr 2026Explainable AI in Speaker Recognition -- Making Latent Representations UnderstandablearXiv:2604.23354v1 Announce Type: cross Abstract: Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Expl→28 Apr 2026Explainable AI for Mental Disorder Detection via Social Media: A survey and outlookarXiv:2406.05984v2 Announce Type: replace-cross Abstract: Mental health constitutes a complex and pervasive global challenge, affecting millions of lives and often leading to severe consequences. In t→11 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
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