TechniqueRLHF / Alignment8 recent entries2 Sept 2026MultiGait: A Multi-Sensor Multi-Perspective Multi-Session Biometric Inference Benchmark and its DatasetarXiv:2609.01036v1 Announce Type: cross Abstract: A lack of suitable datasets has limited the research into the privacy risks of novel smart city sensors, such as thermal cameras, depth cameras, and l→17 Sept 2026Learning Heterogeneous PreferencesarXiv:2609.17847v1 Announce Type: new Abstract: Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in po
TechniqueRAG8 recent entries24 Apr 2026260 things we announced at Google Cloud Next '26 – a recapGoogle Cloud Next ‘26 took place this week in Las Vegas, and the energy was incredible as we welcomed over 32,000 leaders, developers, and partners to explore the Agentic Era with us. Across three key→12 May 2026Assessment of RAG and Fine-Tuning for Industrial Question-Answering-ApplicationsarXiv:2605.09533v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly employed in enterprise question-answering (QA) systems, requiring adaptation to domain-specific knowledg→26 May 2026STREAM: A Data-Centric Framework for Mining High-Value Task-Oriented Dialogues from Streaming MediaarXiv:2605.25162v1 Announce Type: cross Abstract: Large language models for vertical domains are bottlenecked by the scarcity of complex, domain-specific task-oriented dialogues. Existing data acquisi→15 Jul 2026Wiki Lint Report — 2026-07-15Automated lint: 26 errors, 6728 warnings, 3 info→19 Jul 2026Wiki Lint Report — 2026-07-19Automated lint: 20 errors, 8743 warnings, 3 info→18 Aug 2026Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152arXiv:2608.16394v1 Announce Type: new Abstract: Generating regulation-compliant test scenarios is essential for validating safety-critical automotive systems, yet Large Language Models (LLMs) struggle→27 Aug 2026TrustFormer: Cross-Temporal and Cross- Dimensional Transformer for Task-Specific Multi-Dimensional Trust EvaluationarXiv:2608.25238v1 Announce Type: cross Abstract: In dynamic collaborative systems, the selection of reliable collaborators is critical to ensuring effective task execution. Existing trust evaluation →18 Sept 2026Less Is More: Graph-free Multimodal RAG via Multi-signal Late FusionarXiv:2609.19417v1 Announce Type: new Abstract: Graph-based retrieval-augmented generation (RAG) is widely used for multimodal, cross-document question answering. However, building corpus-level graphs
TechniqueAgents8 recent entries7 Sept 2026ARIA - An Agentic Framework for Autonomous Testing of Infotainment SystemsarXiv:2609.04913v1 Announce Type: cross Abstract: Automotive infotainment validation still relies on manual testing, slow, costly, and incompatible with agile releases and OTA updates. Scripted automa→10 Sept 2026From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function CallsarXiv:2609.09476v1 Announce Type: cross Abstract: In-vehicle assistants must translate natural-language requests into accurate vehicle function calls under strict memory and latency constraints, makin→16 Sept 2026Impel deploys Claude for employee training and supportImpel deployed Claude across engineering and knowledge work; Anthropic reports shorter new-product ramp time and support gains.→24 Sept 2026Power your agents: Gemini 3.8 Live with Live Avatar is now generally availableFollowing our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking last week, we are thrilled to share that Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enter→24 Sept 2026Automotive mmWave Spinning Radar Place Recognition with Spatially Gated Feature-Correlation RepresentationarXiv:2609.27394v1 Announce Type: cross Abstract: Automotive spinning FMCW radar provides dense, 360^irc sensing and remains reliable under poor illumination and adverse weather, making it well-suited→2 Oct 2026End-to-End Learning vs. Modular Architectures: Comparative Insights into Autonomous Driving SystemsarXiv:2610.01746v1 Announce Type: cross Abstract: Autonomous driving systems have become a central focus of intelligent transportation research, with End-to-End Learning and Modular Architectures offe→7 Oct 2026Infor uses industry-specific AI to address agent hallucinationsIndustry-specific AI brings business context to agents handling enterprise workflows. Building around industry processes can help companies address reliability concerns as they automate more tasks. In→7 Oct 2026Event-Driven ML Pipeline Orchestration for Manufacturing: An AWS Industry ExperiencearXiv:2610.06890v1 Announce Type: new Abstract: We present an industry experience report on three years of operating an event-driven cloud infrastructure for continuous machine learning training in au
TechniqueFine-tuning8 recent entries28 Aug 2026Towards a universal meta-optics solver via large language modelsarXiv:2608.26417v1 Announce Type: cross Abstract: Metasurface design increasingly requires fast models that can operate across structurally distinct device families, rather than retraining a separate →31 Aug 2026Picking Bins Empty: A Hierarchical Hybrid Approach with Online Self-Learning of Grasp Points for Reliable Industrial Bin-PickingarXiv:2608.28175v1 Announce Type: new Abstract: Bin-picking is a cornerstone of modern manufacturing, yet achieving complete bin clearance without manual intervention remains a critical challenge. Whi→31 Aug 2026CF-YOLO: Context-Aware Feature Refinement for Camouflaged Industrial Micro-Defect DetectionarXiv:2608.28070v1 Announce Type: new Abstract: Automated detection of surface micro-defects on industrial components, such as copper tubes, is critically important for quality assurance but remains c→1 Sept 2026BikeScenes: LiDAR Semantic Segmentation for BicyclesarXiv:2510.25901v2 Announce Type: replace Abstract: The vulnerability of cyclists, exacerbated by the rising popularity of faster e-bikes, motivates adapting automotive perception technologies for bic→10 Sept 2026From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function CallsarXiv:2609.09476v1 Announce Type: cross Abstract: In-vehicle assistants must translate natural-language requests into accurate vehicle function calls under strict memory and latency constraints, makin→14 Sept 2026Input Resolution Matters: Real-Time Object Detection LatencyarXiv:2609.12920v1 Announce Type: new Abstract: We model total latency as the convolution of preprocessing, inference, and postprocessing distributions under a simplifying independence approximation, →24 Sept 2026Automotive mmWave Spinning Radar Place Recognition with Spatially Gated Feature-Correlation RepresentationarXiv:2609.27394v1 Announce Type: cross Abstract: Automotive spinning FMCW radar provides dense, 360^irc sensing and remains reliable under poor illumination and adverse weather, making it well-suited→2 Oct 2026Robust Online Aero-Engine Blade Defect Detection via Dual-Alignment Test-Time AdaptationarXiv:2610.00067v1 Announce Type: new Abstract: Reliable visual inspection is essential for quality assurance in aero-engine blade manufacturing, where defect appearance may vary across production lin
TechniqueMultimodal8 recent entries24 Aug 2026A Collaborative Multi-Modality Interaction for VLA-based End-to-End Autonomous DrivingarXiv:2608.20890v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have emerged as a powerful paradigm for end-to-end autonomous driving by jointly integrating perception, reasoning, →25 Aug 2026OmniCAD: A Large-Scale Benchmark for 3D Spatial Reasoning in Robotics AssembliesarXiv:2608.22637v1 Announce Type: new Abstract: Recent vision-language models (VLMs) show strong capabilities in robotic perception and spatial reasoning, yet their ability to reason about complex mec→15 Sept 2026BLInD: Learning Driver Intent as a Distribution over Future Ego TrajectoriesarXiv:2609.13941v1 Announce Type: new Abstract: We present BLInD (Blind Learned Intent Distribution), a compact network that maps recent vehicle-state history (e.g. speed, curvature, indicator, and ve→18 Sept 2026Less Is More: Graph-free Multimodal RAG via Multi-signal Late FusionarXiv:2609.19417v1 Announce Type: new Abstract: Graph-based retrieval-augmented generation (RAG) is widely used for multimodal, cross-document question answering. However, building corpus-level graphs→23 Sept 2026Towards Systematic Qualification of Vision-Language Models for Automotive Perception SystemsarXiv:2609.25945v1 Announce Type: new Abstract: The field of Artificial Intelligence has been adopted for many application domains. Vision Language Models are one of the recently advanced AI technique→23 Sept 2026Semantically-Guided Domain Randomization for Industrial Object Detection in Low-Image-Budget RegimesarXiv:2609.26505v1 Announce Type: new Abstract: Retraining visual perception pipelines in High-Mix, Low-Volume (HMLV) automotive manufacturing must be carried out under tight annotation, energy, and t→24 Sept 2026Power your agents: Gemini 3.8 Live with Live Avatar is now generally availableFollowing our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking last week, we are thrilled to share that Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enter→2 Oct 2026End-to-End Learning vs. Modular Architectures: Comparative Insights into Autonomous Driving SystemsarXiv:2610.01746v1 Announce Type: cross Abstract: Autonomous driving systems have become a central focus of intelligent transportation research, with End-to-End Learning and Modular Architectures offe
TechniqueSafety8 recent entries17 Sept 2026Learning Heterogeneous PreferencesarXiv:2609.17847v1 Announce Type: new Abstract: Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in po→18 Sept 2026SAFARI: An Industrial Benchmark for LLM-Assisted Hazard Analysis and Risk AssessmentarXiv:2609.20584v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly considered for safety-critical engineering, yet their reliability in regulated functional-safety workflows→22 Sept 2026Autonomous Model Lifecycle Management for Digital Twin-Based Manufacturing ControlarXiv:2609.22701v1 Announce Type: new Abstract: Manufacturing AI systems must autonomously adapt to continuous distributional shift from raw-material variability, ambient changes, and equipment aging,→23 Sept 2026Towards Systematic Qualification of Vision-Language Models for Automotive Perception SystemsarXiv:2609.25945v1 Announce Type: new Abstract: The field of Artificial Intelligence has been adopted for many application domains. Vision Language Models are one of the recently advanced AI technique→25 Sept 2026MLPerf AutomotivearXiv:2510.27065v2 Announce Type: replace Abstract: We present MLPerf Automotive, the first standardized public performance benchmark for evaluating Machine Learning systems that are deployed for AI a→2 Oct 2026End-to-End Learning vs. Modular Architectures: Comparative Insights into Autonomous Driving SystemsarXiv:2610.01746v1 Announce Type: cross Abstract: Autonomous driving systems have become a central focus of intelligent transportation research, with End-to-End Learning and Modular Architectures offe→7 Oct 2026Vector Map Quality Metrics for Contextual Autonomous Driving SystemsarXiv:2610.08043v1 Announce Type: new Abstract: Ensuring safety in autonomous driving requires continuous map maintenance supported by reliable quality indicators. In this context, it is crucial to id→7 Oct 2026Event-Driven ML Pipeline Orchestration for Manufacturing: An AWS Industry ExperiencearXiv:2610.06890v1 Announce Type: new Abstract: We present an industry experience report on three years of operating an event-driven cloud infrastructure for continuous machine learning training in au