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Local Ai

IQuestLab/IQuest-Q1 · Hugging Face

DGX agent

IQuest-Q1 is a Mixture-of-Experts (MoE) model developed by IQuest for agentic coding, reasoning, and multi-step tool use. It comprises approximately 320B total parameters, with an estimated 15B parame

local-air-localllama

29 Sept 2026

Local Ai

JET: Justification Evaluation in Transformer

DGX agent

arXiv:2609.33874v1 Announce Type: new Abstract: JET uses pretrained language and vision-language models to select among a finite set of answers without additional training. It evaluates candidate like

Search: “local-ai”

IQuestLab/IQuest-Q1 · Hugging Face

JET: Justification Evaluation in Transformer

Learn Here, Move Less Elsewhere: Input-Conditioned Plasticity from Retained-Domain Activation Atlases

LEGAU: Learning Semantic Gaussian Priors for Scalable Category-level Pose Estimation

Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting

Local LMO is Secretly a Projection Method!

Localized time-frequency representation learning for bioacoustic classification in complex soundscapes

LocalProp: Neuro-Localized Memory-Efficient Backpropagation

LoCoVSR: Local Context Diffusion Posterior Sampling for Video Super-Resolution

MW-Nowcast: Six-hour ensemble nowcasting of extreme precipitation

Natural Image Autoencoder-Based fMRI Representations for Trait and State Prediction

Normalise or condition? Noise-floor front-ends for on-board keyword spotting under UAV rotor ego-noise

Octree-based Video Representation

OmniMoE-VL: A Sparse Vision-Language Model with Coupled Visual-Depth Routing

OmniTide: Co-Designing Algorithms and Systems for Efficient On-Device Omni-LLM Streaming

One Sequence, Many Decodings: CAGenMol-2 Recasts Drug Design as Masked Molecular Inference

OOD Generalization as a Bifurcation Problem

Ornith-1.5 DFlash

Output-aware Residual Stream Pruning for Large Language Models

Perturb-and-Solve: Efficient Learned-Operator Conditioning for Latent Diffusion Inverse Problems

PHIRL: Aligning Learned Rewards with Task Progress for Inverse Reinforcement Learning

PhysioTRACE: Provenance-Aware Stress Tests for Physiological Foundation Models

Projective Normal Fields: A Convex Optimization Method for Constructing Smooth UDFs

PULSE: Identifying Demonstration-Utility Features with Sparse Autoencoders

PulseQuant: Propagation-Guided Subspace Correction for 4-Bit Video Diffusion Transformers

QAM: Quadratic-Accurate Checkpoint Merging via Sequential Consistency

ReAL: Accelerating Flow Matching through Segment Advancement with Shared Lookahead

REALM: A Coarse-to-Fine Generative Framework for Embodied Reactive Listening

REALM: Regime-Switching, Explainable, and Activation-Induced Linear Models

RefCompose: Multi-Reference Image Generation via LoRA-Conditioned Diffusion

ReLoc: Rethinking Scene Coordinate Regression Architecture for Robust Outdoor LiDAR-based Localization

ResonAct: Streaming Metrics for Runtime Diagnosis and Self-Healing in Multi-Agent Systems

Resource-Aware Federated Mixture-of-Experts with Adaptive Pruning for Onboard Learning in LEO Satellite Constellations

Revisit to Segment: Working Memory Distillation for Reasoning Segmentation

Reward-Aligned Reweighting for On-Policy Distillation

RICE-Alpha: Reliability-Informed Correction with Event Graphs for LLM-Agent Stock Forecasting

RoboCompiler: Graph-Native Compilation of Closed-Chain Robots for Consistent Modeling, Control, and Simulation

Seeing the Heat: Synthesizing High-Resolution Wood Thermal Responses from Optical Imagery

Server-Enforced Watermarking in U-Shaped Split Federated Learning

Shaping Persistent Representations from Independent Interactions

Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge

Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies

SpatialSpeak: QA-Native Reconstruction with Local and Global Context for Spatial Chain-of-Thought Reasoning

Steer2Grasp: Inference-Time Embodiment-Aware Steering for Diverse Physically Feasible Grasp Diffusion

Structured Residual Connectivity Matters for Diffusion Transformers

SymNetPro: LOS-Aware Directional Multi-Transmitter Localization from Sparse Radio Observations

TaoTex: Boosting Texture Detail Fidelity for Native 3D Material Generation

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