DataBubble·
Model Detail
Qwen3.6-35B-A3B-GGUF
—Provider: lmstudio-communityCategory: otherParameters: 35B
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Research Paper
Model Info
Licenseapache-2.0
Latest
Meta inks deal for solar power at night, beamed from space1h◆Consequentialist Objectives and Catastrophe7h◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms7h◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation7h◆A Probabilistic Framework for Hierarchical Goal Recognition7h◆CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign Language7h◆The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology7h◆Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem7h◆Learning from Natural Language Feedback for Personalized Question Answering7h◆TS-Arena -- A Live Forecast Pre-Registration Platform7h◆Report for NSF Workshop on AI for Electronic Design Automation7h◆Initial results of the Digital Consciousness Model7h◆Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem7h◆Sensory-Aware Sequential Recommendation via Review-Distilled Representations7h◆Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation7h◆When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education7h◆SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention7h◆EuropeMedQA Study Protocol: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation7h◆Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning7h◆VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation7h◆Meta inks deal for solar power at night, beamed from space1h◆Consequentialist Objectives and Catastrophe7h◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms7h◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation7h◆A Probabilistic Framework for Hierarchical Goal Recognition7h◆CNSL-bench: Benchmarking the Sign Language Understanding Capabilities of MLLMs on Chinese National Sign Language7h◆The Shape of Adversarial Influence: Characterizing LLM Latent Spaces with Persistent Homology7h◆Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem7h◆Learning from Natural Language Feedback for Personalized Question Answering7h◆TS-Arena -- A Live Forecast Pre-Registration Platform7h◆Report for NSF Workshop on AI for Electronic Design Automation7h◆Initial results of the Digital Consciousness Model7h◆Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem7h◆Sensory-Aware Sequential Recommendation via Review-Distilled Representations7h◆Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation7h◆When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education7h◆SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention7h◆EuropeMedQA Study Protocol: A Multilingual, Multimodal Medical Examination Dataset for Language Model Evaluation7h◆Causal Concept Graphs in LLM Latent Space for Stepwise Reasoning7h◆VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation7h◆
