CompanyAnthropic3 recent entries30 Apr 2026WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation ModelsarXiv:2510.14438v2 Announce Type: replace Abstract: The hallmark of Deep Research agents lies in compositional reasoning, the capacity to aggregate distributed, heterogeneous information into coherent→14 May 2026Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and AnalyticsarXiv:2605.12728v1 Announce Type: cross Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more access
CompanyGoogle1 recent entries14 May 2026Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and AnalyticsarXiv:2605.12728v1 Announce Type: cross Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more access
CompanyMeta8 recent entries24 Apr 2026Efficient Logic Gate Networks for Video Copy DetectionarXiv:2604.21694v1 Announce Type: cross Abstract: Video copy detection requires robust similarity estimation under diverse visual distortions while operating at very large scale. Although deep neural →14 May 2026Grid-Orch: An LLM-Powered Orchestrator for Distribution Grid Simulation and AnalyticsarXiv:2605.12728v1 Announce Type: cross Abstract: The power distribution engineering workforce faces a projected shortage of up to 1.5 million engineers by 2030, creating urgent demand for more access→21 May 2026Understanding and Improving Communication Performance in Multi-node LLM InferencearXiv:2511.09557v4 Announce Type: replace-cross Abstract: As large language models (LLMs) continue to grow in size, distributed inference has become increasingly important. Model-parallel strategies m→2 Jul 2026Autonomous Scientific Discovery via Iterative Meta-ReflectionarXiv:2607.01131v1 Announce Type: cross Abstract: Autonomous scientific discovery systems offer the potential to accelerate research by automating the process of hypothesis generation and validation. →28 Aug 2026Graph-Guided Selective Unlearning for Language Models: Controlling Support Routes Beyond Forget SeedsarXiv:2608.26743v1 Announce Type: new Abstract: Enterprises fine-tune language models on proprietary data that may later require removal due to privacy, contractual, or compliance obligations. Selecti→18 Sept 2026MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding AcceleratorsarXiv:2609.19207v1 Announce Type: cross Abstract: Autoregressive transformer decoding is constrained by irregular key-value (KV) cache movement on tiled accelerators. Prior compression and DRAM-placem→28 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→5 Oct 2026Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the WildarXiv:2407.12927v4 Announce Type: replace Abstract: Systems for multimodal emotion recognition (ER) are commonly trained to extract features from different modalities (e.g., visual, audio, and textual
CompanyMistral1 recent entries18 Sept 2026MeshKV: A Network-on-Chip KV Cache Fabric for Scalable Transformer Decoding AcceleratorsarXiv:2609.19207v1 Announce Type: cross Abstract: Autoregressive transformer decoding is constrained by irregular key-value (KV) cache movement on tiled accelerators. Prior compression and DRAM-placem
CompanyxAI1 recent entries15 Sept 2026Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G NetworksarXiv:2609.13872v1 Announce Type: cross Abstract: As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization too
CompanyDeepSeek4 recent entries17 Apr 2026LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI SystemsarXiv:2601.14053v2 Announce Type: replace-cross Abstract: The field of artificial intelligence has undergone a revolution from foundational Transformer architectures to reasoning-capable systems appro→21 May 2026Diagnosing Overhead in Dispatch Operations: Cross-architecture ObservatoryarXiv:2605.20982v1 Announce Type: cross Abstract: AlltoAll dispatch is the dominant bottleneck of MoE expert parallelism, and the interconnect community has responded with four families of mitigations→28 May 2026How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM ServingarXiv:2605.28302v1 Announce Type: cross Abstract: Modern large language model (LLM) inference has progressively disaggregated to keep pace with growing model sizes and tight TTFT and TPOT service-leve→21 Sept 2026Programming AMD XDNA NPUs with Open-source Compiler Tools: A FlashAttention Case StudyarXiv:2609.21264v1 Announce Type: cross Abstract: Spatial NPUs such as AMD XDNA place compute tiles beside small local memories and leave data movement between them to software. Mapping a multi-stage
CompanyNVIDIA4 recent entries19 May 2026Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management Reinforcement LearningarXiv:2605.17428v1 Announce Type: cross Abstract: Our preliminary experiments on gym-DSSAT maize irrigation tasks revealed that +/-2 degrees C temperature noise causes an 11.9% reduction in economic r→21 May 2026Diagnosing Overhead in Dispatch Operations: Cross-architecture ObservatoryarXiv:2605.20982v1 Announce Type: cross Abstract: AlltoAll dispatch is the dominant bottleneck of MoE expert parallelism, and the interconnect community has responded with four families of mitigations→8 Jul 2026UBEP: Re-architecting Expert Parallelism Communication Library for Production SuperpodsarXiv:2607.06202v1 Announce Type: cross Abstract: The deployment of Mixture-of-Experts (MoE) models on production high-bandwidth superpods, such as NVIDIA's NVL72/576 and Huawei's CloudMatrix384, intr→28 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