CompanyAnthropic8 recent entries23 Jun 2026Sub-Billion, Super-Frontier: Small Language Models Rival Zero-Shot Frontier LLMs on General and Literary Relation ExtractionarXiv:2606.22606v1 Announce Type: cross Abstract: Large language models (LLMs) achieve strong relation extraction (RE), but their computational demands and reliance on proprietary APIs limit deploymen→7 Jul 2026NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel GenerationarXiv:2607.04395v1 Announce Type: new Abstract: Recent agentic approaches to LLM-based kernel generation have achieved impressive results on CUDA. For emerging AI accelerators such as AWS Trainium and
CompanyOpenAI6 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-→16 Sept 2026Enhancing Law-Enforcement Audio Transcription: A LoRA-Based Adaptation of Whisper for BWC FootagearXiv:2607.27245v2 Announce Type: replace-cross Abstract: Modern policing faces a 'visibility paradox' where law enforcement agencies possess petabytes of Body-Worn Camera (BWC) footage that remains l→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→1 Oct 2026Cascadia: A Control-Plane-Free Alternative to Hyperconverged AI InfrastructurearXiv:2609.38697v1 Announce Type: cross Abstract: We present Cascadia, a system for serving large language models on fleets of commodity Intel AIPCs using their CPU, integrated-GPU, and NPU resources.
CompanyGoogle8 recent entries3 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→20 Aug 2026TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan InsertionarXiv:2601.17178v3 Announce Type: replace-cross Abstract: Hardware Trojans (HTs) remain a critical threat because learning-based detectors often overfit to narrow trigger/payload patterns and small, s→1 Sept 2026An Open-Source, Event-Driven Pipeline for Cryptocurrency Market Data: Ingestion, Forecasting, and On-Chain Fraud DetectionarXiv:2608.29973v1 Announce Type: new Abstract: Cryptocurrency markets generate high-frequency, multi-source data that is expensive to work with unless a team already has commercial-grade streaming an→4 Sept 2026BRIDGE: An Open-Source Humanoid Platform via Morphology-Control Co-Design for Physical AIarXiv:2609.03497v1 Announce Type: cross Abstract: Developing humanoid robots capable of leveraging human behavioral data is essential for general-purpose embodiment, yet conventional development remai→30 Sept 2026Neurosymbolic Routing for Reliable Reasoning on Resource-Constrained Edge DevicesarXiv:2609.35833v1 Announce Type: new Abstract: Running a language model on edge hardware provides private and low-latency reasoning without a network connection, and yet the small models that fit on →6 Oct 2026Dynamic Harness Search: Building Multi-Agent Systems Per-Query via PredictionarXiv:2610.04137v1 Announce Type: new Abstract: Agent harnesses specify the roles, instructions, tools, and communication structure used to solve a task, and the right harness depends on the query. Be
CompanyMeta8 recent entries28 Sept 2026The KV Cache Is the New Memory WallarXiv:2609.30854v1 Announce Type: cross Abstract: Autoregressive LLM inference at long context is bounded by memory bandwidth, not arithmetic throughput, and the binding resource shifts from model wei→28 Sept 2026HybridInfer: Thermal-Aware Reinforcement-Learning Tier Routing for On-Device, Edge, and Cloud LLM InferencearXiv:2609.30270v1 Announce Type: new Abstract: On-device inference with small language models keeps user data local, works offline, and incurs no per-query cost, so the on-device tier is preferred wh→29 Sept 2026Multi-Bitwidth Quantization for LLMs Using Additive CodebooksarXiv:2606.12876v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed across heterogeneous hardware with varying resource constraints, the ability to adaptively→1 Oct 2026Learning Functional Subspaces for Neural Network CompressionarXiv:2609.40127v1 Announce Type: cross Abstract: Modern transformers pair impressive capabilities with substantial memory and compute demands. Low-rank weight factorization reduces both while keeping→2 Oct 2026Format-Aware Fusion for Fast FP4 PretrainingarXiv:2610.00053v1 Announce Type: new Abstract: Four-bit floating-point (FP4) Tensor Cores accelerate matrix multiplication, but scale computation, operand packing, layout construction, and saved back→6 Oct 2026Robust Parameter-Efficient LLM Adaptation on Analog HardwarearXiv:2610.05318v1 Announce Type: new Abstract: Analog in-memory computing is a promising platform for on-device execution of large language models because it performs matrix--vector multiplications (→6 Oct 2026EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware PruningarXiv:2511.19935v3 Announce Type: replace Abstract: Deploying domain-specialized large language models on resource-constrained hardware motivates reducing both adaptation cost and the number of retain→7 Oct 2026SSR: Sparse Segment Reduction for Ternary GEMM AccelerationarXiv:2610.08403v1 Announce Type: new Abstract: Large Language Models (LLMs) require substantial computational resources, limiting their deployment on resource-constrained hardware. Ternary LLMs mitig
CompanyMistral8 recent entries2 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→11 Sept 2026Structured Transforms for Low-Overhead Quantization of Language ModelsarXiv:2609.11687v1 Announce Type: new Abstract: We revisit Kashin-decomposition-based weight quantization for large language models and propose an improved algorithm with stronger convergence properti→28 Sept 2026Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer HardwarearXiv:2608.00008v2 Announce Type: replace Abstract: The local deployment of large language models (LLMs) is gaining traction due to privacy concerns and the desire for on-premise inference. However, t→29 Sept 2026Multi-Bitwidth Quantization for LLMs Using Additive CodebooksarXiv:2606.12876v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed across heterogeneous hardware with varying resource constraints, the ability to adaptively→5 Oct 2026WakeKV: Reactive, Reversible KV Residency for Heads That Change Their MindsarXiv:2610.02713v1 Announce Type: new Abstract: Most KV-cache compression methods classify attention heads once, either offline or during prefill, and keep this classification fixed throughout generat
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 entries22 Sept 2026Balancing Reasoning and Hardware Constraints in RAG Pipelines for Ukrainian Multi-Domain Document UnderstandingarXiv:2609.22124v1 Announce Type: new Abstract: This paper describes the system submitted to the UNLP 2026 Shared Task on Multi-Domain Document Understanding. The challenge required extracting precise→29 Sept 2026Autonomous Research Project Management as an Agent Skill: A Case Study in Exact Spectral Spatial RegressionarXiv:2609.31683v1 Announce Type: new Abstract: This work presents an end-to-end demonstration of autonomous machine learning research conducted by an agent skill on consumer hardware. The demonstrati→1 Oct 2026SETA: Scaling Environments for Terminal AgentsarXiv:2607.10891v2 Announce Type: replace Abstract: Large language models (LLMs) are rapidly shifting toward agents that solve tasks through diverse interfaces, including web and graphical user interf→2 Oct 2026On-Device Named-Entity Recognition: A Deployability Study of Accuracy, Cost, Reliability, and ConfidencearXiv:2610.00007v1 Announce Type: cross Abstract: Named-entity recognition (NER) is increasingly wanted on-device (no API, low latency, data kept local). The practitioner's question is not the leaderb→6 Oct 2026CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE TrainingarXiv:2610.05744v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) has been widely adopted in recent large language model (LLM) architectures. However, scaling up MoE in LLM training introduces →7 Oct 2026Beyond the Leaderboard: Multi-Dimensional Evaluation of Dense and Mixture-of-Experts Models for Automated Program RepairarXiv:2610.08173v1 Announce Type: cross Abstract: Automated Program Repair (APR) with language models is usually evaluated by whether a generated patch passes the test suite, which can hide difference→9 Oct 2026QUILT: Rethinking Sparse-Attention Prefill through Shared Query ExecutionarXiv:2610.11134v1 Announce Type: new Abstract: Sparse attention reduces the cost of long-context attention, but existing kernels typically process queries independently, repeatedly loading and dequan→12 Oct 2026Adaptive DHiSparse: Speculative Decoding over a Load-Adaptive KV HierarchyarXiv:2610.13708v1 Announce Type: new Abstract: Long-context serving runs out of KV memory before the hardware reaches its useful throughput. HiSparse stores history in host memory and fetches only th
CompanyNVIDIA8 recent entries7 Oct 2026Demo: Vision-Language Model-Guided Online Calibration of an Electromagnetic Digital TwinarXiv:2610.07081v1 Announce Type: cross Abstract: An electromagnetic (EM) digital twin gives mobile robots wireless situational awareness but depends on material conductivities that change with the en→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→9 Oct 2026Traceable World State: A Provenance-Aware State Representation and Deterministic Replay Framework for Robotic SystemsarXiv:2610.12033v1 Announce Type: cross Abstract: Robotic systems operating over extended tasks must maintain a world state assembled from observations arriving at different times, with varying confid→9 Oct 2026The Missing Fourth Term for the Emulation Tensor Memory Equilibrium (TME) Model: The Residue Deconstruction CostarXiv:2610.10924v1 Announce Type: cross Abstract: The Tensor-Memory Equilibrium (TME) model of 'FP8 is All You Need (Part 1)' calculates the execution time of Ozaki Scheme II emulation of fp64 as the →9 Oct 2026Read What Matters: Query-Adaptive Quantization for KV CachesarXiv:2610.11245v1 Announce Type: cross Abstract: KV-cache entries are stored before their future queries are known, but each decoding query needs precision in different places. We study this mismatch→9 Oct 2026GLIO2: A GPU-Parallelized Tightly-Coupled LiDAR-Inertial-GNSS System for Robust and Real-Time Global Localization and MappingarXiv:2610.12411v1 Announce Type: new Abstract: Globally consistent, real-time state estimation in large-scale, perceptually degraded environments is essential for autonomous vehicles and aerial robot→12 Oct 2026RAMP: Recurrent Adaptive Mixed Precision for Efficient Prefill in Recurrent-Depth Language ModelsarXiv:2610.13041v1 Announce Type: new Abstract: Recurrent-depth language models improve inference-time reasoning by repeatedly applying a shared network to refine internal representations, but the add