PreprintNot peer reviewedArtificial IntelligenceA preprint reports curriculum training can make safety alignment more robustOriginal title: Curriculum Learning for Safety AlignmentResearchers report a curriculum-based method for DPO safety training cuts harmful outputs and jailbreak success rates.Sandeep Kumar et al. · Added 9 Nov 2026
Journal articleReview status unknownQuantum ComputingResearchers report improved rate-loss scaling for polarisation entanglement distributionOriginal title: Improving the Rate-Loss Scaling in Polarization Entanglement Distribution using Single-Click Entanglement SwappingA study reports a method using single-click entanglement swapping that improves how polarisation entanglement rates scale with channel loss.Hikaru Shimizu et al. · Added 9 Nov 2026 · Released Aug 2025
PreprintNot peer reviewedArtificial IntelligenceA preprint reports faster private LLM fine-tuning by fixing noisy gradient structureOriginal title: Re-examining low-rank adaptation for private LLM fine-tuningA preprint proposes denoising DP-SGD gradients to restore their low-rank structure, reportedly speeding up private LLM fine-tuning.Ali Dadsetan et al. · Added 9 Nov 2026
PreprintNot peer reviewedFrom NVIDIAArtificial IntelligenceResearchers scale egocentric human video to 50,000 hours for robot foundation modelsOriginal title: Open-HumanScale: An Open Recipe for Scaling Human and Robot Experience for Embodied Foundation ModelsA preprint reports a log-linear scaling law linking egocentric human video pretraining hours to robot task success, plus a hybrid human-robot model.Added 9 Nov 2026
PreprintNot peer reviewedFrom Google Quantum AIQuantum ComputingPreprint proposes classical post-processing method to curb logical quantum errorsOriginal title: Measure Now, Mitigate Later: Virtual Error Cancellation for Logical Quantum CircuitsA preprint describes virtual error cancellation, a classical post-processing scheme that the authors say mitigates logical quantum errors using only syndrome data.Added 9 Nov 2026
PreprintNot peer reviewedQuantum ComputingPreprint reports a search method that tailors quantum error-correcting codes to noise and decoderOriginal title: Decoder- and Noise-Aware Optimization Framework for Clifford-Deformed Quantum Error-Correcting CodesA preprint introduces EBBI, a search algorithm that finds better Clifford-deformed error-correcting codes far more efficiently than random search.Julius Rye Bønnelykke et al. · Added 9 Nov 2026
PreprintNot peer reviewedArtificial IntelligenceResearchers propose UniSD, a unified self-distillation framework for LLMsOriginal title: UniSD: Towards a Unified Self-Distillation Framework for Large Language ModelsA preprint presents UniSD, a framework combining self-distillation techniques that the authors report improves over baselines without external teacher models.Yiqiao Jin et al. · Added 9 Nov 2026
Conference paperReview status unknownFrom MetaArtificial IntelligenceA survey maps techniques for fitting LLMs onto edge devicesOriginal title: Large Language Model Deployment on Resource-Constrained Edge Devices: A Practitioners SurveyA conference paper reviews software and hardware approaches for running large language models on memory-limited edge devices.Added 9 Nov 2026 · Released Jan 2026
PreprintNot peer reviewedFrom China Telecom (TeleAI)Artificial IntelligenceA preprint reports a training method to shrink edge multimodal AI models with little accuracy lossOriginal title: ProQuant: Progressive Quantization-aware Training for Edge MLLMsResearchers describe ProQuant, a quantization-aware training method that keeps small multimodal models accurate at low bit-widths for edge devices.Added 9 Nov 2026
PreprintNot peer reviewedArtificial IntelligenceA preprint reports scale-dependent recipes for training code verifiers cut RLVR costsOriginal title: Aletheia: What Makes RLVR For Code Verifiers Tick?The authors report that which parts of the RLVR pipeline matter most for code verifiers depends on model size, offering cheaper training recipes.Vatsal Venkatkrishna et al. · Added 9 Nov 2026
PreprintNot peer reviewedFrom QPerfectQuantum ComputingResearchers propose fast logical gate set for La-cross qLDPC codesOriginal title: Fast computational primitives for La-cross qLDPC codesA preprint outlines native Clifford and T-gate methods for compact La-cross quantum codes on neutral-atom hardware.Added 9 Nov 2026
PreprintNot peer reviewedArtificial IntelligenceResearchers propose a cross-domain benchmark for LLM agents doing black-box optimizationOriginal title: A Closer Look at Agentic BBO: Benchmarking LLM Agents for Black-Box OptimizationA preprint introduces AgenticBBO-Bench, testing LLM agents against direct LLM methods and numerical optimizers across five task domains.Ming Chen et al. · Added 9 Nov 2026
PreprintNot peer reviewedArtificial IntelligenceResearchers report clinical LLM safety depends on deployment setup, not accuracy gainsOriginal title: Safety and accuracy diverge across deployment conditions in clinical large language modelsA preprint finds that curated evidence, not model scale, drives safer radiology question-answering in LLMs.Sebastian Wind et al. · Added 9 Nov 2026
PreprintNot peer reviewedArtificial IntelligencePreprint proposes federated GRPO method using reward signals to cut communicationOriginal title: Fed-GRPO: Reward-Signal-Driven Federated Group Relative Policy OptimizationA preprint describes Fed-GRPO, which uses GRPO's own reward statistics to guide aggregation, local training and compression in federated reasoning training.Pengxin Guo et al. · Added 9 Nov 2026
PreprintNot peer reviewedArtificial IntelligencePreprint finds humans far outpace AI models at learning grid-world dynamicsOriginal title: Benchmarking World-Model Learning with Environment-Level QueriesA preprint reports humans substantially outperform five frontier AI models on a new benchmark testing learned world models.Archana Warrier et al. · Added 9 Nov 2026 · Released May 2026
PreprintNot peer reviewedArtificial IntelligenceResearchers report a scalable way to build concept vectors for AI alignmentOriginal title: From Stories to Features: Scaling Concept Vectors for AI Alignment & InterpretabilityA preprint describes extracting over a thousand interpretable concept directions from language models using synthetic story pairs.Dmitry Scherbakov et al. · Added 9 Nov 2026
PreprintNot peer reviewedQuantum ComputingResearchers report circuit tweaks cut logical errors in an IBM surface-code memoryOriginal title: Demonstration of Logical Error Suppression in a Surface Code Memory on a Cloud-Accessible IBM Superconducting ProcessorA preprint reports that readout and reset optimisations plus added code distance reduce logical error rates on an IBM superconducting processor, though gains fade over long runs.Shuwen Kan et al. · Added 9 Nov 2026
PreprintNot peer reviewedQuantum ComputingResearchers report early fault-tolerant magic state methods on a superconducting quantum processorOriginal title: Early Fault-Tolerant Magic State Synthesis and Spacetime Efficient Analog Rotations with Color Code on a Superconducting Quantum ProcessorA preprint describes two ways to generate magic states for non-Clifford gates using IBM's Nighthawk R2 processor with color codes.Sean Garner et al. · Added 9 Nov 2026
PreprintNot peer reviewedFrom QuantinuumQuantum ComputingResearchers report below-threshold quantum error correction on a trapped-ion processorOriginal title: Quantum error correction well below the color code thresholdA preprint reports that larger color codes on Quantinuum's Helios hardware cut logical error rates as code distance grows.Added 9 Nov 2026
PreprintNot peer reviewedFrom SalesforceArtificial IntelligenceResearchers propose unified benchmark suite for enterprise LLM agent capabilitiesOriginal title: EGI-BENCH: An Enterprise General Intelligence Benchmark SuiteA preprint introduces EGI-Bench, combining eight enterprise agent benchmarks into one scored framework across six capability dimensions.Added 9 Nov 2026
