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arXiv:2603.07766v1 Announce Type: new Abstract: We present our system for SemEval-2026 Task 3 on dimensional aspect-based sentiment regression. Our approach...
arXiv:2511.04583v3 Announce Type: replace-cross Abstract: Understanding the current capabilities and risks of AI Scientist systems is essential for ensuring trustworthy...
arXiv:2603.07755v1 Announce Type: new Abstract: A geometric hallucination taxonomy distinguishes three failure types — center-drift (Type~1), wrong-well convergence (Type~2), and...
While large language models (LLMs) are typically used for conversational purposes in use cases that revolve around natural language interactions,...
arXiv:2602.23136v2 Announce Type: replace Abstract: Numerous studies have shown that multimodal LLMs process speech and images well but fail in...
arXiv:2603.06492v1 Announce Type: cross Abstract: We introduce NOBLE (Nonlinear lOw-rank Branch for Linear Enhancement), an architectural augmentation that adds nonlinear...
In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the...
Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating...
Memory helps
Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
MinosEval: Distinguishing Factoid and Non-Factoid for Tailored Open-Ended QA Evaluation with LLMs
MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget
MiniMax Releases MiniMax-Music3: An Open-Weights Music Model Generating Complete Five-Minute Songs From Lyrics and a Structured Caption
MiniMax Releases MiniMax H3: An Omni-Modal Video Model That Generates 15-Second 2K Clips With Native Stereo Audio
MiniMax Releases M2.1: An Enhanced M2 Version with Features like Multi-Coding Language Support, API Integration, and Improved Tools for Structured Coding
