#Research
Curated coverage on «Research»: releases, research, benchmarks, open-source.
The First Complete UV Sky Map: How Claude Science Filled 50 Years of Observation Gaps
Brice Ménard of Johns Hopkins University worked with Claude Science to create the first complete sky map in ultraviolet light (154 nm and 232 nm). A third of the…
Qwen-Image-PE Teaches Neural Networks Design: Prompt Enhancer Adds +7.81 Points
The Qwen team trained a prompt enhancer on design principles: the 397B version added 7.81 points to original queries, and the 9B model is already on Hugging Face.
PatEx-Gym Teaches AI Agents to Hunt for Patent Prior Art: 1 Million Patents and a 4B Model
Researchers have released PatEx-Gym, an environment for patent-examiner agents: 1,000 tasks, 1 million patents, 52,000 papers, and a compact 4-billion-parameter…
C3L Breaks the Explanation Drift Loop in Continual Learning: 5 Benchmarks, 20+ Baselines
Stanford PhD Derives the Transformer From Scratch, Starting With One Memory Problem
Zhejiang University and Peking University Propose SPADER for Multi-Answer QA
Xiaohongshu and Fudan University Build DR-Rubric for RL on Open-Ended Tasks
DynStream from Beijing builds a dynamic 3D scene from video without camera poses
Peking University, VGI Labs and the University of California present DynStream: feed-forward Gaussian reconstruction of moving scenes from streaming video, with no…
WorldMemBench Tests Whether World Models Remember Rooms and Events
The WorldMemBench benchmark scores world-model memory on two axes: whether previously seen scenes persist, and whether events keep progressing while the camera…
ACEdit Teaches Image Editors to Train on Their Own Mistakes Without Degrading
Mine-Sample-Render: A Three-Stage Method for Diverse Generation
Sparse Autoencoders: Pairwise Interactions Lift Rank Fidelity to 0.7790
Weight editing without retraining cut sexist responses from 57.9% to 24.3%
Stanford and Together AI Teach LLMs to Write Text Starting From an Outline: Generation Up to 31x Faster
Stanford and Together AI researchers brought VAR's "next-scale prediction" to text: the model writes an outline first, then fills in details. The claimed speedup is…
Apple and CMU Speed Up AI Agents 10x by Replacing Reasoning with Selection
Apple and Carnegie Mellon researchers propose dropping free-form "thinking" from ReAct agents and replacing it with a choice among options. The claimed speedup is…