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An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response6h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making6h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6h◆Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization6h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents6h◆AIMO Interpretability Challenge6h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD6h◆ECHO: An Auditable Dual-Path Memory System for Long-Horizon Agents6h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value6h◆Differential Functionalism: Jacobians Shape the Structure of Phenomenal Experience6h◆Unified Agentic Video Editing Across Levels of Complexity and Creativity6h◆ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models6h◆Diffusion Subgoal Planning for Long-Horizon Offline Goal-Conditioned Reinforcement Learning6h◆Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations6h◆Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check6h◆TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU6h◆AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment6h◆HSPR: Recovering Software-Agent Benchmark Scores via Hierarchical Posterior Inference6h◆Typhoon: Gradient-Based Task-Specific Masking for Masked Language Models6h◆Entropic perspective on AI resilience, data-minimal learning and optimal control6h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response6h◆Learning Transferable Latent User Preferences for Human-Aligned Decision Making6h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6h◆Teaching the Way, Not the Answer: Privileged Tutoring Distillation for Multimodal Policy Optimization6h◆Repair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents6h◆AIMO Interpretability Challenge6h◆IndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD6h◆ECHO: An Auditable Dual-Path Memory System for Long-Horizon Agents6h◆Ethical LLM-Assisted Research: A Framework for Responsible Delegation, Verification, and Epistemic Value6h◆Differential Functionalism: Jacobians Shape the Structure of Phenomenal Experience6h◆Unified Agentic Video Editing Across Levels of Complexity and Creativity6h◆ER-EDF: A Psychology-Grounded Emotion Regulation Framework for Speech Empathetic Dialogue Generation in Large Audio-Language Models6h◆Diffusion Subgoal Planning for Long-Horizon Offline Goal-Conditioned Reinforcement Learning6h◆Penumbra: Sample-Efficient Adversarial Search for Regulatory Obligations6h◆Not Self-Decidable: LLMs Cannot Draw the Boundary of What an Agent Verifier Can Check6h◆TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU6h◆AM-Bench: A Unified Taxonomy and Evaluation Suite for Agentic Misalignment6h◆HSPR: Recovering Software-Agent Benchmark Scores via Hierarchical Posterior Inference6h◆Typhoon: Gradient-Based Task-Specific Masking for Masked Language Models6h◆Entropic perspective on AI resilience, data-minimal learning and optimal control6h◆
News/model/Qwen3.8-Flash-Next-GSQ-RCO-GGUF

Qwen3.8-Flash-Next-GSQ-RCO-GGUF news

3 articles mentioning Qwen3.8-Flash-Next-GSQ-RCO-GGUF

arxiv6h ago

Privacy-preserving inference on hosted models: a learned input-embedding transform for frozen Qwen3.8-27B

arXiv:2610.27817v1 Announce Type: new Abstract: Every prompt sent to a hosted language model is readable by whoever runs it. We study whether the prompt can remain on the client while the host receives transformed vectors that stand in for it. A language model converts text to vectors exactly once,

arxivSep 23

Qwen3.8-Omni: Towards Native Omni-Modal Agents

arXiv:2609.25611v1 Announce Type: new Abstract: We introduce Qwen3.8-Omni-Flash, a natively multimodal agentic model for real-world multimodal productivity. Compared with previous omni models, which primarily emphasized perception and interaction, Qwen3.8-Omni-Flash substantially improves multimodal

arxivSep 1

On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability

arXiv:2608.30320v1 Announce Type: new Abstract: We describe the architecture and ablations of Qwen3.8-Flash-Next, a sparse mixture-of-experts model with 125B parameters, 6B activated per token, and additional 51B parameters of n-gram embedding tables held off the accelerator. On fourteen pre-trainin

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