CompanyAnthropic8 recent entries30 Sept 2026Koa-action: Fast and Consistent Structured Decision Making with Generative LLMsarXiv:2609.36115v1 Announce Type: new Abstract: Industry applications often demand low-latency classification, yet current large language model (LLM) approaches remain poorly suited for latency-critic→30 Sept 2026Evaluating the Effects of Prompt Perturbation on Bias and Hallucination in Large Language ModelsarXiv:2609.35804v1 Announce Type: cross Abstract: Large language models (LLMs) have shown remarkable capabilities in various natural language processing tasks, leading to their widespread deployment a
CompanyOpenAI8 recent entries21 Sept 2026TrialAtlas: Multi-Agent Research Organization for Clinical Trial Design and OptimizationarXiv:2609.21859v1 Announce Type: new Abstract: Nearly 90% of drugs entering clinical development ultimately fail, despite billions of dollars in investment. Pharmaceutical companies therefore rely on→22 Sept 2026Defusing Explosive Prompts: Understanding and Preventing Trigger-Based Prompt Injections in LLM AgentsarXiv:2609.22510v1 Announce Type: cross Abstract: As LLM applications integrate with external tools, they are increasingly exposed to indirect prompt injection (IPI), where adversarial instructions ar→23 Sept 2026Incorporating LLM Embeddings for Variation Across the Human GenomearXiv:2509.20702v3 Announce Type: replace-cross Abstract: Recent advances in large language model (LLM) embeddings have enabled powerful representations for biological data, but most applications to d→1 Oct 2026OGPO: One-Step Generative Policy Optimization for Real-Time Robot ControlarXiv:2601.20701v2 Announce Type: replace Abstract: Real-time robot control demands fast action generation. Diffusion and flow matching policies for robot control require multi-step sampling, limiting→2 Oct 2026A First Glance at Jev for Network Traffic Classification: Accuracy, Processing Time, and CostarXiv:2610.00376v1 Announce Type: new Abstract: We evaluate Jev on ten dataset-defined application labels in CESNET-QUICEXT-25 using only the first ten packets' sizes, directions, and inter-packet tim→5 Oct 2026Social bot detection in the age of ChatGPT: Challenges and opportunitiesarXiv:2610.02386v1 Announce Type: cross Abstract: We present a comprehensive overview of the challenges and opportunities in social bot detection in the context of the rise of sophisticated AI-based c→5 Oct 2026Automating the Application of HCI Principles: Skills for On-Demand UI Construction, the Human-AI Space to Think, and the Future of HCIarXiv:2610.02369v1 Announce Type: cross Abstract: Human-computer interaction (HCI) is in the middle of a transition: large language models can now generate functional user interfaces (UIs) on demand f→6 Oct 2026Programming Manufacturing Robots with Imperfect AI: LLMs as Tuning Experts for FDM Print Configuration SelectionarXiv:2603.22118v2 Announce Type: replace Abstract: We use fused deposition modeling (FDM) 3D printing as a case study of how manufacturing robots can use imperfect AI. In FDM, print configuration str
CompanyGoogle8 recent entries18 Sept 2026What Users Think of Generative AI: A Cross-Platform NLP Analysis of Trust and Friction in App Store ReviewsarXiv:2609.19151v1 Announce Type: new Abstract: Generative AI (GenAI) applications have achieved rapid consumer adoption, yet little large-scale research examines user-perceived quality, trust, and ad→21 Sept 2026TrialAtlas: Multi-Agent Research Organization for Clinical Trial Design and OptimizationarXiv:2609.21859v1 Announce Type: new Abstract: Nearly 90% of drugs entering clinical development ultimately fail, despite billions of dollars in investment. Pharmaceutical companies therefore rely on→22 Sept 2026Defusing Explosive Prompts: Understanding and Preventing Trigger-Based Prompt Injections in LLM AgentsarXiv:2609.22510v1 Announce Type: cross Abstract: As LLM applications integrate with external tools, they are increasingly exposed to indirect prompt injection (IPI), where adversarial instructions ar→30 Sept 2026Koa-action: Fast and Consistent Structured Decision Making with Generative LLMsarXiv:2609.36115v1 Announce Type: new Abstract: Industry applications often demand low-latency classification, yet current large language model (LLM) approaches remain poorly suited for latency-critic→1 Oct 2026EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific DiscoveryarXiv:2609.40340v1 Announce Type: new Abstract: Evolutionary search with large language models (LLMs) can stall when progress requires external knowledge the model lacks. Supplying relevant documents →7 Oct 2026Image Bitstream Fine-grained Understanding for Privacy-Friendly AIoTarXiv:2610.08414v1 Announce Type: new Abstract: Image Bitstream Fine-grained Understanding (IBFU) aims to directly perform fine-grained classification and semantic description generation from encoded →8 Oct 2026VideoZeroBench: Probing the Limits of Video MLLMs with Spatio-Temporal Evidence VerificationarXiv:2604.01569v2 Announce Type: replace Abstract: Video multimodal large language models achieve strong results on existing benchmarks, but answer accuracy alone does not establish whether they can →12 Oct 2026APEX-Harm: Evaluating Agent Safety in Shared Professional WorkspacesarXiv:2610.13623v1 Announce Type: cross Abstract: Professional agents increasingly work through command-line interfaces and multiple tools over shared workspaces containing files, messages, and busine
CompanyMeta8 recent entries1 Oct 2026NAQD Env: A benchmark for selective withdrawal in language agentsarXiv:2609.38460v1 Announce Type: new Abstract: Language agents must revise planned actions when evidence changes, permission is revoked, or a stop instruction arrives. A useful response is selective:→2 Oct 2026Meta-Multi-Agent Reinforcement Learning for Fast Adaptation of Interactive Policies with Applications to Autonomous DrivingarXiv:2610.00705v1 Announce Type: new Abstract: This paper develops a meta-multi-agent reinforcement learning (meta-MARL) framework to enable fast adaptation of interactive policies in a multi-agent s→2 Oct 2026A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with AutoencodersarXiv:2610.01949v1 Announce Type: cross Abstract: Ransomware has emerged as a major cybersecurity threat, with incidents increasing in frequency and impact across critical sectors. These attacks are t→5 Oct 2026Understanding Clinical Cognitive Dialogues Using Large Language ModelsarXiv:2609.34125v2 Announce Type: replace Abstract: In-person cognitive assessment is both a test and an interaction. Clinicians explain tasks, repair misunderstandings, and adapt to patient responses→5 Oct 2026HazardWeaver: Scientific Route Selection for Hazard Analysis AgentsarXiv:2610.03591v1 Announce Type: new Abstract: Understanding and assessing natural hazards is essential for disaster preparedness and risk reduction. Recent advances in large language models have spu→7 Oct 2026PlotPick: AI-powered batch extraction of numerical data from scientific figuresarXiv:2605.06021v2 Announce Type: replace Abstract: Systematic reviews and meta-analyses often need numerical data reported only in figures, and extracting them with interactive digitisers usually req→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 2026Towards Scalable Meta-Learning of near-optimal Interpretable Models via Synthetic Model GenerationsarXiv:2511.04000v2 Announce Type: replace-cross Abstract: Decision trees are widely used in high-stakes fields like finance and healthcare due to their interpretability. This work introduces an effici
CompanyMistral8 recent entries25 Aug 2026Model Merging is Secretly Certifiable: Non-Vacuous Generalisation Bounds for Low-Shot LearningarXiv:2505.15798v2 Announce Type: replace Abstract: Certifying the IID generalisation ability of deep networks is the first of many requirements for trusting AI in high-stakes applications from medici→27 Aug 2026A Layered Security Framework Against Prompt Injection in RAG-Based ChatbotsarXiv:2606.19660v2 Announce Type: replace-cross Abstract: Prompt injection is ranked as the most critical vulnerability in large language model (LLM) deployments by the OWASP Top 10 for LLM Applicatio→1 Sept 2026Test-Time Training with Next-Token PredictionarXiv:2606.21803v2 Announce Type: replace Abstract: Next-token prediction is the self-supervised signal that trains language models, and every observed prompt token provides the same signal at test ti→16 Sept 2026Competence-Preserving Resume Perturbations Expose Presentation Sensitivity in LLM ScreeningarXiv:2609.16517v1 Announce Type: cross Abstract: Resume screeners must infer job-relevant competence from resumes whose presentation can vary substantially in wording, structure, stylistic polish, an→21 Sept 2026Talk to Me, Jarvis: An Open-Source Edge-Deployable Voice Assistant Framework for Autonomous RacecarsarXiv:2609.21109v1 Announce Type: new Abstract: Recent advances in large language models have improved their effectiveness as back-end components for voice assistants, particularly in intent understan→23 Sept 2026Block-Level Weight-Space Structure Persists Under Post-Training: An Empirical Study Across LLM FamiliesarXiv:2609.26147v1 Announce Type: new Abstract: Modern LLMs are deployed as families of post-trained variants (base, instruct, chat, code) derived from a shared set of pre-trained weights. We present →28 Sept 2026From ASR to ASP: Evaluating Prompt Attack Vulnerabilities Against Open-Source LLMsarXiv:2505.14368v3 Announce Type: replace-cross Abstract: Recent studies demonstrate that Large Language Models (LLMs) are vulnerable to attacks that generate harmful or sensitive outputs. As open-sou→29 Sept 2026PrismQuant: Optimal Null-Space Rotations for Grouped QuantizersarXiv:2609.32429v1 Announce Type: cross Abstract: Smaller activation outliers do not necessarily imply better low-bit quantization: their alignment with the quantizer matters. We introduce PrismQuant,
CompanyxAI8 recent entries29 Sept 2026Self-eXplainable AI for Medical Image Analysis: A Survey and New OutlooksarXiv:2410.02331v3 Announce Type: replace Abstract: The increasing demand for transparent and reliable models, particularly in high-stakes decision-making areas such as medical image analysis, has led→29 Sept 2026Adapting Vision-Language Models for Human-Readable XAI in Industrial Object DetectionarXiv:2609.31690v1 Announce Type: new Abstract: Explainable Artificial Intelligence (XAI) solutions are essential for building trust in AI technologies and their integration in real manufacturing line→1 Oct 2026Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return PredictionsarXiv:2609.38869v1 Announce Type: new Abstract: In finance, interpreting machine learning predictions is essential, yet the numerical outputs of explainable AI can be difficult for non-experts to unde→6 Oct 2026TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being FeedbackarXiv:2610.06657v1 Announce Type: new Abstract: Workplace sensing studies combine long-running behaviour traces with self-reports, yet the tools that collect those data often sit apart from the interf→7 Oct 2026Rule-Based Languages for Neurosymbolic AIarXiv:2610.07313v1 Announce Type: new Abstract: Logic programming is increasingly used as the symbolic component of neurosymbolic AI systems. We survey the main rule-based languages in this setting, n→8 Oct 2026Revisiting Explainable AI through Model-Independent Concept DictionariesarXiv:2610.10301v1 Announce Type: new Abstract: Modern applications of AI rely on increasingly complex models. Explainable AI (XAI) has emerged as a set of techniques aimed at improving model transpar→8 Oct 2026For Those Who Believe in Faithfulness: Optimizing the Area Under Insertion and Deletion Curves for Ranking Relative Feature ImportancearXiv:2610.09844v1 Announce Type: cross Abstract: The adoption of machine learning for socially relevant tasks requires effective explainable artificial intelligence (XAI) methods to better understand→12 Oct 2026Bridging Human and Model Attention: Explainability Analysis of CNN, Mamba, and ViT Architectures with Gaze-Based ValidationarXiv:2610.12703v1 Announce Type: cross Abstract: High-risk applications of deep learning require precise characterization of model decision-making. We conduct a systematic explainability evaluation a
CompanyDeepSeek8 recent entries10 Sept 2026Quality Metrics for LLM-Generated Asset Administration Shells: A Perturbation-Based Evaluation ApproacharXiv:2609.07290v1 Announce Type: cross Abstract: The rapid digital transformation of manufacturing, often referred to as Industry 4.0, relies on seamless interoperability between physical and softwar→15 Sept 2026Exploring Automated Vulnerability Identification in JavaScript Code Using Large Language ModelsarXiv:2609.13816v1 Announce Type: cross Abstract: JavaScript powers approximately 98.8% of all websites, making vulnerabilities in its code a significant security risk, yet existing detection approach→17 Sept 2026CoAtNet-DeepMoE: A Convolution-Attention Hybrid with DeepSeek Mixture-of-Experts for Parameter-Efficient Tomato Disease ClassificationarXiv:2609.18038v1 Announce Type: new Abstract: The world population is growing rapidly, and technology is improving in parallel. Meeting the huge demand for food for these 7 billion people not only d→18 Sept 2026What Users Think of Generative AI: A Cross-Platform NLP Analysis of Trust and Friction in App Store ReviewsarXiv:2609.19151v1 Announce Type: new Abstract: Generative AI (GenAI) applications have achieved rapid consumer adoption, yet little large-scale research examines user-perceived quality, trust, and ad→18 Sept 2026Compass-v3: Scaling Domain-Specific LLMs for Multilingual E-Commerce in Southeast AsiaarXiv:2509.09121v2 Announce Type: replace Abstract: Large language models (LLMs) excel in general-domain applications, yet their performance often degrades in specialized tasks requiring domain-specif→21 Sept 2026GameASG-Bench: Benchmarking Autonomous Software Generation for Game DevelopmentarXiv:2609.21293v1 Announce Type: new Abstract: Autonomous software generation (ASG) aims to turn human requirements into executable applications, but delivering these applications does not necessaril→22 Sept 2026STOP: Structured On-Policy Pruning of Long-Form Reasoning in Low-Data RegimesarXiv:2605.13165v2 Announce Type: replace Abstract: Long chain-of-thought (Long CoT) reasoning improves performance on multi-step problems, but it also induces overthinking. This inefficiency is espec→29 Sept 2026MASTEST: A LLM-Based Multi-Agent System For Testing RESTful APIsarXiv:2511.18038v2 Announce Type: replace-cross Abstract: Testing RESTful API is increasingly complicated but indispensable to quality assurance of cloud-native applications. This paper reports a mult
CompanyNVIDIA8 recent entries16 Sept 2026Carry-Through Checksum: A Lightweight Fault-Detection for CNN Inference at the EdgearXiv:2609.16742v1 Announce Type: cross Abstract: Convolutional Neural Networks (CNNs) are increasingly deployed in safety-critical edge applications, where soft errors can silently corrupt inference →17 Sept 2026Visual Perception Engine: Fast and Flexible Multi-Head Inference for Robotic Vision TasksarXiv:2508.11584v3 Announce Type: replace-cross Abstract: Deploying multiple machine learning models on resource-constrained robotic platforms for different perception tasks often results in redundant→17 Sept 2026Lecture notes on Physics Informed Neural Networks, Neural Operators, and their applicationsarXiv:2609.17638v1 Announce Type: cross Abstract: This is the set of lecture notes for the PhD course href{https://www.unibz.it/en/faculties/engineering/phd-computer-science/study-course-offering/2025→17 Sept 2026Accelerating Stateful Network Applications with Performance Prediction on SoC SmartNICsarXiv:2410.22229v2 Announce Type: replace-cross Abstract: Offloading stateful network functions to multi-threaded SoC SmartNICs promises significant performance and cost benefits. However, realizing t→29 Sept 2026Resource-Aware Federated Mixture-of-Experts with Adaptive Pruning for Onboard Learning in LEO Satellite ConstellationsarXiv:2609.31932v1 Announce Type: cross Abstract: Low-Earth-orbit (LEO) satellites are increasingly expected to perform onboard learning for applications such as disaster response and environmental mo→1 Oct 2026HyDRA: A Hybrid Dual-Mode Network for Closed- and Open-Set RFFI with Optimized VMDarXiv:2507.12133v2 Announce Type: replace Abstract: Device recognition is vital for security in wireless communication systems, particularly for applications like access control. Radio Frequency Finge→7 Oct 2026Demo: Closed-Loop Sionna-Isaac Sim Co-Simulation Framework for Wireless-Aware Robot Navigation over ROS 2arXiv:2610.08618v1 Announce Type: cross Abstract: A robot that offloads its control loop to the network carries the receiver with it, so link quality is decided by where it goes. Simulating this requi→7 Oct 2026Can Power Draw Constrain Covert Compute? Limits of Analogue Verification for AI GovernancearXiv:2610.07476v1 Announce Type: cross Abstract: Frontier AI treaties or agreements on limiting computation require external verification; an external auditor must be able to confirm how much computa