TechniqueRLHF / Alignment8 recent entries7 Oct 2026Federated Mixture-of-Experts Alignment on Mobile Edge Networks under Data HeterogeneityarXiv:2603.21276v2 Announce Type: replace-cross Abstract: The growing demand for on-device large language model (LLM) services on mobile edge devices has driven the adoption of Mixture-of-Experts (MoE→7 Oct 2026Data-Driven Personas for Survey Simulation: Insights into Simulation Alignment Across Data-Access RegimesarXiv:2610.05828v2 Announce Type: replace Abstract: Large language models (LLMs) offer new opportunities for public opinion research by enabling early prediction of survey responses, potentially reduc
TechniqueRAG8 recent entries1 Oct 2026A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI ActarXiv:2609.39537v1 Announce Type: cross Abstract: The EU AI Act (Art. 27) requires deployers of high-risk AI systems to conduct Fundamental Rights Impact Assessments (FRIAs) before deployment, yet the→2 Oct 2026Walking the Embedding Space: Datastore Extraction from Multimodal RAGarXiv:2610.01871v1 Announce Type: cross Abstract: Multimodal Retrieval-Augmented Generation (MRAG) has emerged as a reliable and cost-effective technique of grounding the generative capabilities of Mu→2 Oct 2026A Framework for Egocentric and Exocentric Procedural Understanding via Temporal Segmentation and Semantic AbstractionarXiv:2610.00069v1 Announce Type: cross Abstract: Long-horizon ego/exo data contains rich procedural evidence, but are redundant, noisy, and costly to process or retain. We propose a compact framework→4 Oct 2026Synthesis: Arxiv-Cs-AiAuto-generated synthesis of 29846 entries about arxiv-cs-ai→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→7 Oct 2026SAGE: Semantic Anchor-Guided Evolution for Grounded Medical QA Data SynthesisarXiv:2610.08093v1 Announce Type: cross Abstract: Developing reliable models for clinical tasks, such as Medical Question Answering (QA), is severely constrained by the limited availability of high-qu→7 Oct 2026A Neural JKO Scheme for Hellinger-Kantorovich Gradient Flows via Monge-Growth PairsarXiv:2610.07602v1 Announce Type: cross Abstract: We develop a mesh-free neural JKO scheme for advection-reaction-diffusion equations with a gradient-flow structure in the Hellinger-Kantorovich (HK) g→8 Oct 2026HealthcareNLP: where are we and what is next?arXiv:2512.08617v2 Announce Type: replace Abstract: This tutorial focused on Healthcare Domain Applications of NLP, what we have achieved around HealthcareNLP, and the challenges that lie ahead for th
TechniqueAgents8 recent entries8 Oct 2026https://www.asus.com/blog/asus-proart-and-hermes-agent-local-first-ai-creativityThe ASUS blog post (Oct 8 2026) announces a collaboration between ASUS, Hermes, and Nous Research to launch an accessible local‑first AI chatbot aimed at creative workflows. Designed for ProArt device→10 Oct 2026AI agent makers are promising privacy — will they deliver?At this year's OpenAI DevDay, CEO Sam Altman unveiled the company's new AI agent Dots - and told the crowd that the company wants to 'set a new standard for privacy in frontier AI.' OpenAI would spend→12 Oct 2026Sustainable Cloud-Fog-Edge Systems for Smart Buildings: Algorithmic Adaptation under Memory Constraints and Dynamic Orchestration StrategiesarXiv:2610.13307v1 Announce Type: new Abstract: The escalating environmental footprint of the Information and Communication Technol- ogy (ICT) sectorwith global Data Center electric- ity usage potenti→12 Oct 2026Personalized Federated Direct Preference Optimization via LoRA AdaptersarXiv:2610.12885v1 Announce Type: new Abstract: Federated Direct Preference Optimization (FedDPO) enables privacy-preserving alignment of language models across distributed agents without centralizing→12 Oct 2026Byzantine-Resilient Federated Large Language Model via Hypergraph Message PassingarXiv:2610.12711v1 Announce Type: new Abstract: Federated Large Language Models (FedLLMs) are promising to deliver privacy-preserving, collaborative intelligence. The decentralized training process is→12 Oct 2026Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingarXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge →12 Oct 2026Agentic Large Language ModelsarXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has→12 Oct 2026A Local Agentic AI Framework to Generate Edge Case Scenarios for Safety AssurancearXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase s
TechniqueFine-tuning8 recent entries8 Oct 2026HealthcareNLP: where are we and what is next?arXiv:2512.08617v2 Announce Type: replace Abstract: This tutorial focused on Healthcare Domain Applications of NLP, what we have achieved around HealthcareNLP, and the challenges that lie ahead for th→8 Oct 2026HE-OFT: Privacy-Preserving One-Shot Federated Fine-Tuning under Homomorphic EncryptionarXiv:2610.08255v1 Announce Type: cross Abstract: Many organizations adapt large pretrained models to their own tasks by fine-tuning on private data. Several of these parties often hold data for the s→8 Oct 2026Comparing Qwen3.8-27B fine-tunes and baselining vs. frontierTL;DR: For my use case, mradermacher/Signal-3.8-27B-Terse-Coder.i1-Q4_K_M proved out. Ymmv based on your domain-specific tests. Time taken to solve problems compared to frontier models is massive; esp→9 Oct 2026When Routing Reveals Membership: Privacy Leakage from MoE Router TelemetryarXiv:2610.10616v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) language models produce routing information during inference that may be logged or exposed for monitoring, debugging, load anal→9 Oct 2026Nullify: Null-Space Activation Steering for Training-Free LLM UnlearningarXiv:2610.10655v1 Announce Type: cross Abstract: Large Language Models (LLMs) inevitably internalize substantial amounts of sensitive or private information during pre-training, while LLM unlearning →9 Oct 2026Fed-GRPO: Reward-Signal-Driven Federated Group Relative Policy OptimizationarXiv:2610.11502v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong reasoning capabilities when fine-tuned with reinforcement learning (RL), particularly through Group Relat→12 Oct 2026Personalized Federated Direct Preference Optimization via LoRA AdaptersarXiv:2610.12885v1 Announce Type: new Abstract: Federated Direct Preference Optimization (FedDPO) enables privacy-preserving alignment of language models across distributed agents without centralizing→12 Oct 2026Byzantine-Resilient Federated Large Language Model via Hypergraph Message PassingarXiv:2610.12711v1 Announce Type: new Abstract: Federated Large Language Models (FedLLMs) are promising to deliver privacy-preserving, collaborative intelligence. The decentralized training process is
TechniqueMultimodal8 recent entries7 Oct 2026Exact Unlearning via Quantized Sufficient StatisticsarXiv:2610.07197v1 Announce Type: new Abstract: Exact unlearning requires a deployed predictor to match one rebuilt without the information named by a deletion request. Existing general-purpose exact →7 Oct 2026DySCo: Dynamic Sharding for Collaborative Edge-Cloud LLM Inference with Depth-Synchronized BatchingarXiv:2610.08268v1 Announce Type: cross Abstract: Pervasive intelligent applications are increasingly deployed on mobile and Internet of Things (IoT) edge devices. Consequently, Large Language Models →8 Oct 2026Welcome to Gemini at Work 2026: Introducing the Gemini agentEditor’s note: This article is adapted from Thomas Kurian’s keynote address at Gemini at Work 2026. It includes a number of announcements: Gemini, a single, universal agent for work that answers your →8 Oct 2026FedSSMCoOp: SSM Encoders for light-weight Federated Prompt Learning for Few-shot ClassificationarXiv:2610.09907v1 Announce Type: new Abstract: Vision-Language Models (VLMs) have shown strong performance across a wide range of downstream vision tasks, thanks to the complementary information cont→8 Oct 2026emg2face: Expressive Facial Animation with High-Density Surface EMGarXiv:2610.09304v1 Announce Type: cross Abstract: Facial movements convey subtle and important information that is critical for human social communication. Optical methods for face capture are difficu→11 Oct 2026OpenMed 3.0 is out: Apache-2.0 clinical AI that runs fully local and never falls back to the cloud. 422 open issues if you want in on 3.1Hey r/LocalLLaMA! Maintainer here. Some of you might remember OpenMed from our 1.8 post a few months back. Quick recap: it's an open-source (Apache-2.0) medical AI toolkit with one rule we never break→12 Oct 2026Explore DNA with DeepMind’s AlphaGenome and in-browser MedGemma 1.5 4B via WebGPUHey everyone, Sharing an educational tool called AskCyph Health Explorer to explore how single-letter DNA mutations lead to disease, how they alter 3D anatomy, inheritance probabilities, and available→12 Oct 2026Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action SharingarXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge
TechniqueSafety8 recent entries8 Oct 2026Multi-Objective Aligned Small Language Model Framework for SUD Patient Dialogue GenerationarXiv:2610.09209v1 Announce Type: new Abstract: Substance Use Disorder (SUD) counseling requires patient responses that reflect underlying cognitive states such as beliefs, coping strategies, and read→8 Oct 2026Is Word Error Rate Enough? Rethinking Privacy Evaluation in Speech with Entity-Aware MetricsarXiv:2610.08831v1 Announce Type: cross Abstract: As the use of smart devices continues to increase, their potential to capture sensitive speech content raises growing privacy concerns. It is therefor→8 Oct 2026FedSSMCoOp: SSM Encoders for light-weight Federated Prompt Learning for Few-shot ClassificationarXiv:2610.09907v1 Announce Type: new Abstract: Vision-Language Models (VLMs) have shown strong performance across a wide range of downstream vision tasks, thanks to the complementary information cont→9 Oct 2026When Routing Reveals Membership: Privacy Leakage from MoE Router TelemetryarXiv:2610.10616v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) language models produce routing information during inference that may be logged or exposed for monitoring, debugging, load anal→12 Oct 2026Personalized Federated Direct Preference Optimization via LoRA AdaptersarXiv:2610.12885v1 Announce Type: new Abstract: Federated Direct Preference Optimization (FedDPO) enables privacy-preserving alignment of language models across distributed agents without centralizing→12 Oct 2026DeFiRank: Federated Pairwise Ranking for Governance in Decentralized Financial NetworksarXiv:2610.12916v1 Announce Type: new Abstract: Existing governance approaches in decentralized financial networks rely on manual review processes conducted by human committees, which introduces subje→12 Oct 2026Agentic Large Language ModelsarXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has→12 Oct 2026A Local Agentic AI Framework to Generate Edge Case Scenarios for Safety AssurancearXiv:2610.13479v1 Announce Type: new Abstract: Generating edge case scenarios is crucial for training, testing and safety assuring autonomous systems. This identifies hazardous failures to increase s