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NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability58m◆Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories2h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response9h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making9h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents9h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD9h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value9h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models9h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations9h◆When Synthetic Speech Is All You Have: Better Call GRPO9h◆Reducing belief in conspiracy theories as they unfold using large language models9h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors9h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization9h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning9h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding9h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment9h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions9h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents9h◆Secure Agentic Coding through Counterexample-Grounded Feedback9h◆Policy Search in Code Space for Multi-Agent Pathfinding9h◆NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability58m◆Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories2h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response9h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making9h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents9h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD9h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value9h◆PALATE: Peculiar Application of the Law of Total Expectation to Enhance the Evaluation of Deep Generative Models9h◆WoW-Bench: Evaluating Fine-Grained Acoustic Perception in Audio-Language Models via Marine Mammal Vocalizations9h◆When Synthetic Speech Is All You Have: Better Call GRPO9h◆Reducing belief in conspiracy theories as they unfold using large language models9h◆Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors9h◆EDISCO: Equivariant DIScrete Diffusion for Euclidean Combinatorial Optimization9h◆Composing What Each Teacher Learned: Delta Distillation for Multi-Teacher On-Policy Learning9h◆CRISP: Fixing Flying Pixels in Latent LiDAR Generation via Diffusion Decoding9h◆WeGR: Towards Unified Generative Retrieval via Behavior-aware Tokenization and Preference Alignment9h◆StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions9h◆Many Steps into One: Reasoning Contraction and the Limits of Safe Memory Reuse for LLM Agents9h◆Secure Agentic Coding through Counterexample-Grounded Feedback9h◆Policy Search in Code Space for Multi-Agent Pathfinding9h◆

News/model/LFM2.5-VL-1.6B-Extract-GGUF

LFM2.5-VL-1.6B-Extract-GGUF news

5 articles mentioning LFM2.5-VL-1.6B-Extract-GGUF

huggingfaceOct 13

Run fast, private agents on-device with LFM2.5-24B-A2B

huggingfaceSep 24

Accelerating vision-language models with LFM2.5-VL-DSpark

huggingfaceAug 20

Up to 3.2x Faster Inference with LFM2.5-DSpark

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huggingfaceJul 28

LFM2.5-Encoders for Fast Long-Context Inference on CPU

arxivJul 21bullish

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL

arXiv:2607.16204v1 Announce Type: new Abstract: Recent growth in reinforcement learning (RL) has surfaced a need for diverse, specialized training environments. Hand-curated environments with fixed task and reward difficulties become ineffective signals as model performance improves, and sparse rewa

#reinforcement-learning #world-models #autoregressive-models