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Search: “local-ai”

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Local Ai

Fast LeWorldModel

DGX agent

arXiv:2606.26217v1 Announce Type: cross Abstract: Joint-Embedding Predictive Architectures (JEPAs), including recent LeWorldModel (LeWM), have become a promising foundation for reconstruction-free vis

local-aiarxiv-cs-cv

26 Jun 2026

Local Ai

Heterogeneous Neural Predictivity from Language Models During Naturalistic Comprehension

DGX agent

arXiv:2606.26880v1 Announce Type: new Abstract: Language-model representations provide structured, high-dimensional annotations of naturalistic language stimuli and can serve as informative neural pre

Search: “local-ai”

Fast LeWorldModel

Heterogeneous Neural Predictivity from Language Models During Naturalistic Comprehension

Joint Learning of Experiential Rules and Policies for Large Language Model Agents

Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models

Learning Adversarial Augmentation Policies for Robust Garlic Seedling Detection

Mesh-RL: Coupled subgrid reinforcement learning

MPC-Injection: Biasing Off-Policy Locomotion RL Toward Controller-Induced Behavior Basins

Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting

Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model

ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agent

Pseudo-Text-Conditioned 3D Grounding DINO for Organ Localization in Abdominal CT

Quantization in Federated Learning: Methods, Challenges and Future Directions

Scaling Nonlinear Optimization: Many Problems One GPU

Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting

Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge

TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems

ATMA: Length-Invariant Language Modeling via Polar Attention and Gated-Delta Compression Memory

Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning

BiPACE: Bisimulation-Guided Policy Optimization with Action Counterfactual Estimation for LLM Agents

C2RM-Seg: Causal Counterfactual Reasoning with Structural-Semantic Priors for Weakly Supervised Histopathological Tissue Segmentation

Cliff Tokens: Identifying Single-Token Failure Triggers in LLM Mathematical Reasoning

Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability

Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing

EmotionAI: A Privacy-Preserving Computational Intelligence Pipeline for Speech-Emotion-Grounded Conversational Analysis

ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching

Explainable Control Framework (XCF) based on Fuzzy Model-Agnostic Explanation and LLM Agent-Supported Interface

FedReLa: Imbalanced Federated Learning via Re-Labeling

Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory

Graph-Based Phonetic Error Correction of Noisy ASR

HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation

Hypergraph Normal World Models for Logical Visual Anomaly Detection

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution

Security and Privacy in Retrieval-Augmented Generation: Architectures, Threats, Defenses, and Future Directions for Building Trustworthy Systems

Spatio-Temporal Retrieval-based Priors for Adaptive Computational Teaching in Driving

Supervised Post-training of Speech Foundation Models for Robust Adaptation in Speech Deepfake Detection

Swarm-Inspired Generation of Collective Behaviors in Graph Dynamical Systems

TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems

Towards Robust EEG Decoding Based on Riemannian Self-Attention

Wear-Clearance-Impact Coupling in the Jansen Linkage: A Gait-Durability-Optimized Design Slows Joint Loosening

WinDOM: Self-Family Distillation for Small-Model GUI Grounding

3D Masked Autoencoders are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy

A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching

Accuracy and Satisfaction in Multi-Turn LLM Dialogues for NFR Assessment

ActiveScope: Actively Seeking and Correcting Perception for MLLMs

An LMM for Precisely Grounding Elements in Documents

Beyond Monotonic Progress: Retry-Supervised Value Learning for Robot Imitation

Cross-Lingual Exploration for Parametric Knowledge

CrossPool: Efficient Multi-LLM Serving for Cold MoE Models through KV-Cache and Weight Disaggregation