TechniqueRLHF / Alignment8 recent entries9 Oct 2026Learning Kilometer-Scale Weather Prediction with Global-Regional AlignmentarXiv:2610.12401v1 Announce Type: new Abstract: Kilometer-scale regional weather forecasting is essential for local weather warnings and weather-sensitive decisions. Existing data-driven approaches of→9 Oct 2026HI3D 3.0 (Twinkle3D): Object-specific 3D Asset Generation with High ResolutionarXiv:2610.11685v1 Announce Type: cross Abstract: Image-to-3D generation has become increasingly capable of producing objects that closely resemble the input image, and an outstanding challenge is to
TechniqueRAG8 recent entries7 Oct 2026Built an SQLite memory engine for Ollama that does not eat all your VRAMWanted to share a local memory engine I built called Hillock. The main problem I had with standard local RAG was that running document parsing and vector search chewed up so much VRAM that my actual O→8 Oct 2026New challenge: consolidated 2 cards in a single system but one card hogs all the models even if I run 2 different instances of Ollama on 2 different portsIn my attempt to combat powerty; as electricity cost a ton these days and it is hot as hell, I consolidated 2 machines into one, so my 2 crappy machines now are one, and that means a bit less power an→8 Oct 2026Liquid AI builds personal AI around device-level contextOn-device personal AI requires models and agent software that can operate within fixed hardware limits. Developers also need ways to keep those systems improving after deployment. Model builders are r→9 Oct 2026Event-Centric Memory with Query-Aware Graph Augmentation for Long-Term Conversational AgentsarXiv:2610.11920v1 Announce Type: new Abstract: For persistent and personalized conversational agents, memory systems can enable them to remember, update, and reason over long histories by storing pas→12 Oct 2026Structural Automata for Neural Semantic ParsingarXiv:2610.13896v1 Announce Type: new Abstract: Neural semantic parsers generate meaning representations token by token, yet well-formedness depends on references, scope, and graph relations that unfo→12 Oct 2026LLC: lightweight Open WebUI alt now with Agents+MCP+RAG+Image EditingQuick context: LocalLightChat (LLC) is a chat frontend for local LLMs. Download it, run it, that's it. No installation (unless you want to), no dependencies, and it runs on pretty much anything, inclu→12 Oct 2026Global Consistency Repair for Natural-Language Claim SetsarXiv:2601.13600v2 Announce Type: replace Abstract: NLP systems increasingly aggregate claims from retrieved passages, documents, and generated reasoning steps. Yet current factuality methods mostly v→12 Oct 2026Beyond the Final Embedding: Retrieving Memories from Token-Level EvidencearXiv:2610.13277v1 Announce Type: cross Abstract: Memory-augmented assistants retrieve evidence from stored conversations and documents to answer queries. Most embedding-based retrievers compare singl
TechniqueAgents8 recent entries12 Oct 2026LLC: lightweight Open WebUI alt now with Agents+MCP+RAG+Image EditingQuick context: LocalLightChat (LLC) is a chat frontend for local LLMs. Download it, run it, that's it. No installation (unless you want to), no dependencies, and it runs on pretty much anything, inclu→12 Oct 2026HAFixAgent: History-Aware Agentic Program RepairarXiv:2511.01047v4 Announce Type: replace-cross Abstract: Automated program repair (APR) has recently shifted toward large language models and agent-based systems, while prior work shows that reposito→12 Oct 2026graphsignal-top: a `top` for inference GPUs in the open-source Graphsignal profiler, kernels ranked by time, live, with readable namesA few weeks ago we posted the open-source Graphsignal profiler here: wrap vllm serve / sglang serve / whatever in graphsignal-run and it serves everything it measures as JSON, mainly so an agent can r→12 Oct 2026Global Consistency Repair for Natural-Language Claim SetsarXiv:2601.13600v2 Announce Type: replace Abstract: NLP systems increasingly aggregate claims from retrieved passages, documents, and generated reasoning steps. Yet current factuality methods mostly v→12 Oct 2026Distributed Harmonic-Covariance Feedback for Hole Closure in Planar Robot SwarmsarXiv:2610.12637v1 Announce Type: new Abstract: We consider hole closure in a planar multi-agent system whose sensing disks form a time-varying Cech complex. We propose a harmonic-covariance feedback →12 Oct 2026Beyond the Final Embedding: Retrieving Memories from Token-Level EvidencearXiv:2610.13277v1 Announce Type: cross Abstract: Memory-augmented assistants retrieve evidence from stored conversations and documents to answer queries. Most embedding-based retrievers compare singl→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 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 entries9 Oct 2026Learning Kilometer-Scale Weather Prediction with Global-Regional AlignmentarXiv:2610.12401v1 Announce Type: new Abstract: Kilometer-scale regional weather forecasting is essential for local weather warnings and weather-sensitive decisions. Existing data-driven approaches of→9 Oct 2026Large Language Model-Assisted Preparation of Transportation Management Plans: A Case Study with WisDOT WisTMP SystemarXiv:2610.10650v1 Announce Type: new Abstract: Work zones are critical yet hazardous components of transportation infrastructure, requiring carefully designed Transportation Management Plans (TMPs) t→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 2026Scaling Agentic Data for Long-Horizon Terminal IntelligencearXiv:2610.13166v1 Announce Type: new Abstract: Terminal agents are moving beyond local operations toward completing real-world professional tasks. Short trajectories can demonstrate commands and tool→12 Oct 2026Receipt scanner that runs a fine-tuned 0.8B vision model on the phone (free) - detailed cost trackingI wanted to track grocery spending per item without sending my receipts to anyone, so I built an Android app around a small vision model that reads a photo of a receipt into JSON: store, date, total, →12 Oct 2026epGen: open LoRA for LTX-2.5 that gives every sound in the video its own audio track (generation + separation, weights on HF)LTX-2.5 makes a video with one mixed soundtrack. Our LoRA also outputs one track per captioned sound, in the same run. Prompt 'a jeep, its engine growling' and 'a taxi, its horn honking' and you get t→12 Oct 2026DeltaLLM: Delta-Key Sparse Attention for Edge LLMsarXiv:2507.19608v2 Announce Type: replace Abstract: On-device LLM inference is increasingly important for edge platforms but remains challenging due to high computational and memory demands and tight →12 Oct 2026Continually Post-training Small Models via Synthetic Self-distillationarXiv:2610.13113v1 Announce Type: cross Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. Whil
TechniqueMultimodal8 recent entries10 Oct 2026I was curious about how omni decision models could be used in rescue workers bodycams or smart glasses, so I decided to build a quick demo. …I was curious about how omni decision models could be used in rescue workers bodycams or smart glasses, so I decided to build a quick demo. I went with @liquidai d1-omni-600M since it supports both vi→12 Oct 2026Hide and Seek: HIDE Concepts to SEEK explanations for black box modelsarXiv:2610.13935v1 Announce Type: cross Abstract: Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models. Concept-based attribution methods in→12 Oct 2026GeoGR: Spatial-Semantic Token Compression and Group Routing for Efficient 3D VLMsarXiv:2610.13035v1 Announce Type: cross Abstract: Multi-view representations enable pretrained image and video vision-language models to understand 3D scenes, but their long visual token sequences mak→12 Oct 2026Exploring Attention Sinks in Text-to-Image Transformers from Diffusion and Autoregressive ModelsarXiv:2610.13337v1 Announce Type: cross Abstract: Attention sinks are tokens or positions that consistently receive disproportionate attention mass, often beyond what their semantic content would sugg→12 Oct 2026Efficient Audio-Visual Speech Enhancement via Reinforcement Learning-Based Neural Architecture SearcharXiv:2610.12796v1 Announce Type: cross Abstract: Audio-visual speech enhancement (AVSE) improves speech intelligibility in noisy environments but often relies on computationally expensive models unsu→12 Oct 2026Continually Post-training Small Models via Synthetic Self-distillationarXiv:2610.13113v1 Announce Type: cross Abstract: Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. Whil→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 2026A Privileged Teacher That Only Scores Cannot Search: Critique-Conditioned On-Policy Self-Distillation for ReasoningarXiv:2610.13744v1 Announce Type: new Abstract: On-policy self-distillation promises to replace the sparse outcome signal of verifiable-reward RL with dense token-level credit: a teacher conditioned o
TechniqueSafety8 recent entries6 Oct 2026Reachability-Guided Sequential Quadratic Programming-Guarded Model Predictive Path Integral for Safe Nonlinear Predictive ControlarXiv:2610.04406v1 Announce Type: new Abstract: Safe robot control often requires combining long-horizon performance optimization with hard state and input constraints, but existing approaches tend to→7 Oct 2026Localize Any Object in X-Ray Security Scans without Human AnnotationarXiv:2610.07326v1 Announce Type: new Abstract: Universal object localization in X-ray security inspection is critical for automated threat detection in safety-critical venues. However, unlike everyda→7 Oct 2026Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model AgentsarXiv:2610.07816v1 Announce Type: new Abstract: Small language models (SLMs) are attractive as local agent controllers because they reduce remote inference, latency, and deployment footprint, yet stru→8 Oct 2026Explicit Geometric Chain-of-Thought for Vision-Language-Action in Autonomous DrivingarXiv:2610.10390v1 Announce Type: new Abstract: Vision-language-action~(VLA) models have emerged as a promising paradigm for autonomous driving. However, existing VLA models still suffer from a fundam→8 Oct 2026AeroEval: Staged Program and Execution Validation for AI-Generated Drone MissionsarXiv:2610.09764v1 Announce Type: new Abstract: Large Language Models (LLMs) can generate drone programs from natural-language mission descriptions, but syntactically valid programs may still violate →9 Oct 2026When Scene Text Hijacks the Scene: Uncovering, Exploiting, and Mitigating Rendered-Text Semantic Leakage in Image Generation ModelsarXiv:2610.11286v1 Announce Type: new Abstract: The reliability and accountability of image generative models (IGMs) are essential for building responsible and trustworthy AI systems. Recent IGMs, suc→9 Oct 2026Large Language Model-Assisted Preparation of Transportation Management Plans: A Case Study with WisDOT WisTMP SystemarXiv:2610.10650v1 Announce Type: new Abstract: Work zones are critical yet hazardous components of transportation infrastructure, requiring carefully designed Transportation Management Plans (TMPs) t→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