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Eons ago, in 2012, I had a weird experience. My iPhone suddenly shut down. When I restarted it, I found...
Data fusion , or combining diverse pieces of data into a single pipeline, sounds ambitious enough.
Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models...
In the competitive arena of Multi-Agent Reinforcement Learning (MARL), progress has long been bottlenecked by human intuition. For years, researchers...
arXiv:2510.27623v3 Announce Type: replace-cross Abstract: Recent advances in Vision-Language Models (VLMs) have propelled embodied agents by enabling direct perception, reasoning,...
arXiv:2512.02840v2 Announce Type: replace Abstract: Prompt optimization has become crucial for enhancing the performance of large language models (LLMs) across...
Earth’s a medium-size rock with some water on top, enveloped by gases that keep everything that lives here alive. Just...
Every year, poachers shoot hundreds of rhinos, fishing crews haul millions of sharks out of protected seas, and smugglers carry...
AI deployment is changing.
Meet EAGLE 3.1: The Speculative Decoding Algorithm That Fixes Attention Drift in LLM Inference
Meet dots.ocr: A New 1.7B Vision-Language Model that Achieves SOTA Performance on Multilingual Document Parsing
Meet container: Apple’s Open-Source Swift Tool for Running Linux Containers as Lightweight VMs on Apple Silicon
Meet Cathy Tie, Bride of “China’s Frankenstein”
Meet Blume: An Open-Source, Zero-Config Documentation Framework That Ships AI-Ready Docs From a Markdown Folder
Meet BioReason: The World’s First Reasoning Model in Biology that Enables AI to Reason about Genomics like a Biology Expert
Meet ‘Kani-TTS-2’: A 400M Param Open Source Text-to-Speech Model that Runs in 3GB VRAM with Voice Cloning Support
Meet ‘AutoAgent’: The Open-Source Library That Lets an AI Engineer and Optimize Its Own Agent Harness Overnight
MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering
MedKGI: Iterative Differential Diagnosis with Medical Knowledge Graphs and Information-Guided Inquiring
Measuring Reasoning Utility in LLMs via Conditional Entropy Reduction
