CompanyAnthropic8 recent entries12 May 2026Position: AI Security Policy Should Target Systems, Not ModelsarXiv:2605.09504v1 Announce Type: cross Abstract: We present swarm-attack, an open-source adversarial testing framework in which multiple lightweight LLM agents coordinate through shared memory, paral→12 May 2026CUDAHercules: Benchmarking Hardware-Aware Expert-level CUDA Optimization for LLMsarXiv:2605.08467v1 Announce Type: new Abstract: Large language models show promise for automated CUDA programming, however even the strongest coding models (e.g., Claude-Opus-4.6) may still fall short
CompanyOpenAI3 recent entries27 Apr 2026A systematic review of generative AI usage for IT project managementarXiv:2604.21958v1 Announce Type: cross Abstract: This paper aims to synthesize current knowledge on generative AI in IT project management using the PRISMA methodology to provide researchers with a c→23 Jun 2026Fast-TurboQuant: A Multiplier-Free Online Vector Quantization ApproacharXiv:2606.21448v1 Announce Type: new Abstract: As large language models scale, memory bandwidth for key-value caches and retrieval-augmented generation systems becomes a critical bottleneck. While 1-→5 Aug 2026SAT-Edge-Agent: Hardware-in-the-Loop Edge-Agent Orchestration for Onboard Satellite IntelligencearXiv:2608.03728v1 Announce Type: new Abstract: Onboard satellite intelligence requires a task layer that translates mission intent into local tool calls, exposes execution state, and returns machine-
CompanyGoogle8 recent entries1 May 2026Physical Foundation Models: Fixed hardware implementations of large-scale neural networksarXiv:2604.27911v1 Announce Type: new Abstract: Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- →5 May 2026MolmoAct2: Action Reasoning Models for Real-world DeploymentarXiv:2605.02881v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models aim to provide a single generalist controller for robots, but today's systems fall short on the criteria that matter→12 May 2026To Redact, or not to Redact? A Local LLM Approach to Deliberative Process Privilege ClassificationarXiv:2605.10211v1 Announce Type: cross Abstract: Government transparency laws, like the Freedom of Information (FOIA) acts in the United States and United Kingdom, and the Woo (Open Government Act) i→15 May 2026Parallelizing Counterfactual Regret MinimizationarXiv:2605.14277v1 Announce Type: new Abstract: Parallelization has played an instrumental role in the field of artificial intelligence (AI), drastically reducing the time taken to train and evaluate →19 May 2026extsc{PrivScope}: Task-scoped Disclosure Control for Hybrid Agentic SystemsarXiv:2605.16630v1 Announce Type: cross Abstract: Hybrid local--cloud agents enrich user requests with context from persistent working state before delegating capability-intensive subtasks to a cloud →3 Jul 2026VisionAId: An Offline-First Multimodal Android Assistant for People with Visual Impairment, Featuring Personalized Object RetrievalarXiv:2607.02371v1 Announce Type: cross Abstract: Over 285 million people worldwide live with a visual impairment, for whom everyday tasks such as avoiding obstacles, locating personal belongings, rec→24 Jul 2026Towards an Automated Test of LLM Security KnowledgearXiv:2607.18496v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used for a range of software, hardware and human-centered security tasks. Consequently, LLM perf→24 Jul 2026Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token TimingarXiv:2607.20723v1 Announce Type: cross Abstract: This work presents LeakyLMs, a set of attacks that leak proprietary model, architecture, and deployment information from production language models. L
CompanyMeta8 recent entries31 Jul 2026GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM InferencearXiv:2607.27694v1 Announce Type: cross Abstract: Low-bit quantization is essential for efficient LLM inference, and both rotation and fine-grained group quantization have shown individual promise. Ho→3 Aug 2026Matterhorn: Masked Time-to-First-Spike Encoding by Reassigning the Silent State for Sparse and Energy-Efficient Spiking TransformersarXiv:2601.22876v2 Announce Type: replace Abstract: Spiking neural networks (SNNs) promise energy-efficient inference for large language models (LLMs), yet most reported savings rely on compute-operat→5 Aug 2026Self-Organising Digital CircuitsarXiv:2608.02606v1 Announce Type: new Abstract: Fault tolerance in classical computing has traditionally relied on static strategies like hardware redundancy and error-correcting codes. Biological sys→5 Aug 2026Omega-S: A Functional Resilience Index for LLM Fine-TuningarXiv:2608.03887v1 Announce Type: new Abstract: Fine-tuning a large language model on new data degrades what it previously learned. We present Omega-S, a drop-in penalty computed from the weight matri→7 Aug 2026ECHO: A Locally-Deployable Agentic Health Assistant with Temporal Memory, Safety Guardrails, and Speech AssessmentarXiv:2608.06110v1 Announce Type: new Abstract: This paper presents ECHO (Enhanced Care & Health Observer), a locally-deployable conversational health assistant for long-term chronic care management. →10 Aug 2026Multi-Level Modeling of Large Language Model Inference Latency and Energy via Hybrid Analytical--Machine-Learning PredictorsarXiv:2608.06723v1 Announce Type: cross Abstract: The rapid scaling of Large Language Models (LLMs) has significantly increased computational cost, energy consumption, and inference latency, making ac→11 Aug 2026Gradient Under Microscope: Benchmarking Resource Utilization of Memory-Efficient Gradient Computation MethodsarXiv:2608.08961v1 Announce Type: new Abstract: AI training's rising resource intensity is straining electricity supplies and carbon budgets, motivating systematic study of memory-efficient training o→11 Aug 2026Can We Optimize the Performance-Carbon Emission Break-Even Point?: The Quest for Greener LLMsarXiv:2608.08744v1 Announce Type: cross Abstract: The carbon footprint of any deployed Large Language Model (LLM) accumulates during inference, where repeated use of the model substantially exceeds th
CompanyMistral8 recent entries29 Apr 2026From Local to Global: Revisiting Structured Pruning Paradigms for Large Language ModelsarXiv:2510.18030v2 Announce Type: replace Abstract: Structured pruning is a practical approach to deploying large language models (LLMs) efficiently, as it yields compact, hardware-friendly architectu→12 May 2026Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AIarXiv:2605.08137v1 Announce Type: cross Abstract: Weight pruning is widely advocated for deploying Large Language Models on resource-constrained IoT and edge devices, yet its impact on model fairness →21 May 2026GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema RetrievalarXiv:2605.20815v1 Announce Type: new Abstract: Graph-based Retrieval Augmented Generation (GraphRAG) extends retrieval-augmented generation to support structured reasoning over complex corpora, but i→22 May 2026InnerQ: Hardware-Aware Tuning-Free Quantization of KV Cache for Large Language ModelsarXiv:2602.23200v2 Announce Type: replace-cross Abstract: When transformer-based language models are deployed for text generation, most of the inference time is spent in the decoding stage, where outp→2 Jun 2026Benchmarking Local LLMs for Natural-Language-to-SQL Querying in Biopharmaceutical Manufacturing: An Empirical Benchmark on Consumer-Grade HardwarearXiv:2606.01338v1 Announce Type: new Abstract: Biopharmaceutical manufacturing organizations operate under regulatory frameworks such as FDA guidance, EU Good Manufacturing Practice (GMP), and the EU→7 Jul 2026HiFA4: Training-Free 4-bit FlashAttention on Ascend HIF4 NPUs for LLM InferencearXiv:2607.04302v1 Announce Type: cross Abstract: We present HiFA4, a post-training operator-level design that executes both QK^T and PV in FlashAttention as 4-bit HIF4 Cube GEMMs for LLM inference on→7 Jul 2026Governed MCP: Kernel-Level Tool Governance for AI Agents via Logit-Based Safety PrimitivesarXiv:2604.16870v2 Announce Type: replace-cross Abstract: AI agents increasingly call external tools (file system, network, APIs) through the Model Context Protocol (MCP). These tool calls are the age→10 Jul 2026Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model OptimizationarXiv:2603.00910v2 Announce Type: replace-cross Abstract: Layer-wise capacity in large language models is highly non-uniform: some layers contribute disproportionately to loss reduction, whereas other
CompanyxAI4 recent entries23 Jun 2026A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AIarXiv:2606.22447v1 Announce Type: cross Abstract: Explanation requires ground truth: to verify an account of a system we must know its inner functioning-just what is missing where explainable AI (XAI)→9 Jul 2026Memory Scarcity, Open Models, and the Restructuring of the AI Industry, 2026-2030 -- A quantitative scenario analysis of inference economics, training-cost divergence, and infrastructure solvencyarXiv:2607.07207v1 Announce Type: cross Abstract: We analyze how four forces restructure the AI industry over 2026-2030: the DRAM/HBM price surge, frontier-capable open-weight models (GLM-5.2), rapid →23 Jul 2026Scaling Time Series Classification via XAI-Driven Data ReductionarXiv:2607.15774v2 Announce Type: replace-cross Abstract: Explainable AI (XAI) for time series has seen significant algorithmic growth, but its utility in providing measurable performance gains for do→28 Jul 2026ML-based Predictive Models for Power Consumption in Virtualised O-RANsarXiv:2607.24256v1 Announce Type: cross Abstract: As communication networks adopt virtualized and disaggregated architectures, achieving energy efficiency has become increasingly important for both ec
CompanyDeepSeek8 recent entries10 Jun 2026OpenRTLSet: A Fully Open-Source Dataset for Large Language Model-based Verilog Module DesignarXiv:2606.10285v1 Announce Type: new Abstract: OpenRTLSet introduces the largest fully open-source dataset for hardware design, offering over 131,000 diverse Verilog code samples to the research comm→1 Jul 2026Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics CompetitionarXiv:2606.31048v1 Announce Type: cross Abstract: This paper investigates knowledge distillation from a large reasoning model (DeepSeek-R1) to a compact student model (Qwen2.5-7B). Using historical pr→8 Jul 2026Think Before You Grid-Search: Floor-First Triage for LLM ServingarXiv:2607.05876v1 Announce Type: cross Abstract: LLM serving optimization typically benchmarks many configurations and reaches for heavy profilers when latency targets are missed. We argue for the re→28 Jul 2026Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language ModelsarXiv:2607.23054v1 Announce Type: cross Abstract: Multi-head Latent Attention (MLA), introduced in DeepSeek-V2, compresses key-value pairs through a shared low-rank bottleneck (cKV), achieving 81% KV-→31 Jul 2026From Expert Reduction to Behavioral Divergence: Tracing Numerical State through Sparse MoE InferencearXiv:2607.28097v1 Announce Type: new Abstract: Mathematically equivalent expert-reduction orders can produce observably different sparse-MoE executions. We isolate this effect in native DeepSeek-V4-F→4 Aug 2026LongCat Sparse Attention: Taming the Lightning via Streaming-aware Hierarchical Cross-Layer IndexingarXiv:2608.01662v1 Announce Type: cross Abstract: DeepSeek Sparse Attention (DSA) enables efficient long-context modeling through its Lightning Indexer. However, practical deployment remains constrain→7 Aug 2026Hardware Keystores for AI Agent Signing Workflows: A Zero-Trust MCP Enforcement ArchitecturearXiv:2608.06130v1 Announce Type: cross Abstract: AI agents performing cryptographic operations (signing Git commits, authenticating API calls, issuing certificates) currently store private keys in so→12 Aug 2026CHORUS: Complementary Experts for High-Coverage Testbench Stimulus GenerationarXiv:2608.10090v1 Announce Type: new Abstract: Large language models (LLMs) have advanced code generation, where executable feedback provides a more reliable learning signal than textual imitation al
CompanyNVIDIA8 recent entries11 Aug 2026FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal ApplicationsarXiv:2607.18171v2 Announce Type: replace Abstract: Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous models into pipelines whose effici→11 Aug 2026EsaacSim: A Multimodal Event Camera Add-on for NVIDIA Isaac SimarXiv:2608.08522v1 Announce Type: new Abstract: Event-based vision is becoming an increasingly important sensing paradigm for robotics, yet its adoption remains limited by sensor availability and the →11 Aug 2026ERF-GS: Reconstructing Fast Motion from Disjoint Event-RGB ViewpointsarXiv:2608.08531v1 Announce Type: new Abstract: Deep learning-driven representations such as neural radiance fields (NeRFs) and 3D Gaussian splatting (3DGS) have revolutionized the field of dynamic 3D→11 Aug 2026AraSSM: A bidirectional state-space encoder for Arabic masked language modelingarXiv:2608.08256v1 Announce Type: new Abstract: Pretrained Transformer encoders such as AraBERT, MARBERT, and CAMeLBERT have become the standard backbone for Arabic natural language understanding, but→11 Aug 2026Aero Realtime: Fully Aligned Input-Output Streams for Low-Latency Streaming Multimodal GenerationarXiv:2608.08469v1 Announce Type: new Abstract: Existing streaming multimodal models process observations incrementally but still follow a turn-based prefill-then-decode pattern, making them non-duple→12 Aug 2026TransitReID: Transit OD Data Collection with Occlusion-Resistant Dynamic Passenger Re-IdentificationarXiv:2504.11500v3 Announce Type: replace-cross Abstract: Transit Origin-Destination (OD) data are fundamental for optimizing public transit services, yet current collection methods, such as manual su→12 Aug 2026HyWA: Architecture-Preserving Personalized Voice Activity Detection for Full-Duplex Voice AssistantsarXiv:2510.12947v3 Announce Type: replace-cross Abstract: Voice activity detection (VAD) serves as an early gate in voice-assistant pipelines for smart devices. Because conventional VADs respond to sp→12 Aug 2026Hand-Written PTX Tensor-Core GEMM Kernels: A Multi-Precision Study on NVIDIA L4arXiv:2608.10103v1 Announce Type: cross Abstract: High-performance Tensor Core kernels rely on a low-level PTX pipeline built from asynchronous data movement with cp.async, warp-level matrix loads wit