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MiroThinker-1.7-mini
—Provider: miromind-aiCategory: llmPipeline: text-generationParameters: 235B
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Mochi: Aligning Pre-training and Inference for Efficient Graph Foundation Models via Meta-Learning8m◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms8m◆H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers8m◆Call-Chain-Aware LLM-Based Test Generation for Java Projects8m◆Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching8m◆Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores8m◆Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake8m◆Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning8m◆Removing Sandbagging in LLMs by Training with Weak Supervision8m◆Ethics Testing: Proactive Identification of Generative AI System Harms8m◆Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation8m◆Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations8m◆PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training8m◆When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models8m◆Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems8m◆PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store8m◆GenMatter: Perceiving Physical Objects with Generative Matter Models8m◆Estimating Tail Risks in Language Model Output Distributions8m◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation8m◆ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression8m◆Mochi: Aligning Pre-training and Inference for Efficient Graph Foundation Models via Meta-Learning8m◆EgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms8m◆H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers8m◆Call-Chain-Aware LLM-Based Test Generation for Java Projects8m◆Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching8m◆Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores8m◆Optimal Question Selection from a Large Question Bank for Clinical Field Recovery in Conversational Psychiatric Intake8m◆Shard the Gradient, Scale the Model: Serverless Federated Aggregation via Gradient Partitioning8m◆Removing Sandbagging in LLMs by Training with Weak Supervision8m◆Ethics Testing: Proactive Identification of Generative AI System Harms8m◆Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation8m◆Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations8m◆PermaFrost-Attack: Stealth Pretraining Seeding(SPS) for planting Logic Landmines During LLM Training8m◆When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models8m◆Reliable Self-Harm Risk Screening via Adaptive Multi-Agent LLM Systems8m◆PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store8m◆GenMatter: Perceiving Physical Objects with Generative Matter Models8m◆Estimating Tail Risks in Language Model Output Distributions8m◆ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation8m◆ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression8m◆
