Qihoo-T2X is a high-efficiency multimodal generative model based on Proxy Label Diffusion Transformer (PT-DiT), developed by 360 AI Research Institute and Sun Yat-sen University. Qihoo-T2X introduces a sparse proxy label attention mechanism, significantly reducing...
MakeAnything is a multi-domain procedural sequence generation framework based on the Diffusion Transformer, developed by the Show Lab team at the National University of Singapore. It generates high-quality sequences from text descriptions or image inputs...
AutoAgents is an automated agent generation framework based on Large Language Models (LLM). It can automatically generate multiple expert-role agents based on user-defined goals, enabling them to collaborate on complex tasks. The project utilizes intelligent automation...
RSIDiff is a recursive self-training (RSI) framework for improving the performance of text-to-image diffusion models. It iteratively optimizes the model, training it based on data generated by the model itself, thus addressing the training crash problem common in traditional self-training...
LLaDA (Large Language Diffusion with mAsking) is a novel large-scale language model jointly developed by Professors Li Chongxuan and Wen Jirong's team at Renmin University of China's Gaoling School of AI and Ant Group. It is based on a diffusion model framework...
Agentic Reasoning is a framework developed by Oxford University to enhance the reasoning capabilities of Large Language Models (LLMs). It solves complex, multi-step reasoning problems by integrating external tools such as web search, code execution, and structured memory...
RuiPath is a clinical-grade, domestically developed, multimodal, interactive pathology model jointly launched by Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine and Huawei. The model covers 90% of all cancer cases in China each year...
Step-Audio-TTS-3B is a high-performance text-to-speech (TTS) model developed by the Stepfun-AI team, boasting powerful speech synthesis capabilities. Trained on massive amounts of synthetic data, it features 3 billion parameters and can generate natural and fluent speech...
CLaMP 3 is a multimodal, multilingual music information retrieval framework developed by Professor Wenwu Zhu's team at the School of Artificial Intelligence, Tsinghua University. Based on contrastive learning, it integrates musical notation (such as ABC symbols), audio (such as MERT features), and performance information...
SWE-Lancer is a large-scale model benchmark launched by OpenAI, evaluating the performance of cutting-edge language models (LLMs) on freelance software engineering tasks. It includes over 1400 tasks from Upwork, with a total value of $100...
DynamicCity is a 4D generation framework for large-scale dynamic scene generation developed by the Shanghai AI Lab. DynamicCity focuses on generating dynamic LiDAR scenes with semantic information and can handle large-scale spatial scenes (80×80×6.4 m³)...
MoBA (Mixture of Block Attention) is a novel attention mechanism proposed by Moonshot AI to improve the efficiency of large language models (LLMs) in handling long-context tasks. It works by dividing the context into multiple blocks (bl...
ToddlerBot is an open-source machine learning and humanoid robotics platform developed by Stanford University for motion manipulation, designed for efficiently collecting large-scale, high-quality training data. ToddlerBot has 30 degrees of freedom and uses Dyn...
Phantom is a framework developed by ByteDance's Intelligent Creation Team for Subject-to-Video (S2V) generation. Based on cross-modal alignment technology, and combining text and image cues, it extracts the main subject from a reference image...
Aider is an open-source AI-assisted programming tool that uses a terminal and a Large Language Model (LLM) to enable efficient code editing and development. Aider supports multiple programming languages, such as Python, JavaScript, TypeScript, etc.
TongGeometry is a tree-search-based geometric model jointly developed by the Beijing General AI Research Institute and the AI Institute of Peking University. It is specifically designed for proposing and solving Olympic-level geometric problems. TongGeometry is based on efficient search...
Magma is a new multimodal AI foundational model from Microsoft Research that provides general-purpose capabilities for multimodal AI agents. Magma can understand and execute tasks with multimodal inputs, covering both digital and physical environments...
FluentRead is an open-source browser translation plugin dedicated to providing users with a native-speaker-like reading experience. Based on advanced AI technology, FluentRead supports multiple translation engines, including traditional machine translation and AI...
Muse is Microsoft's first generative AI model for game idea generation, based on the "World and Human Action Model" (WHAM). Muse can generate game visuals and controller actions, based on learning from human gameplay...
HealthGPT is an advanced medical visual language model (Med-LVLM) jointly developed by Zhejiang University, University of Electronic Science and Technology of China, Alibaba, and other institutions. It utilizes heterogeneous knowledge adaptation technology to achieve medical visual understanding and generation tasks...
PaliGemma 2 Mix is Google DeepMind's latest multi-task visual language model (VLM). It integrates various vision and language processing capabilities, supporting image description, object detection, image segmentation, OCR, and document understanding, among others.
FlexTok is an image processing technology jointly developed by the Swiss Federal Institute of Technology in Lausanne (EPFL) and Apple Inc. It resamples two-dimensional images into one-dimensional discrete token sequences, allowing for flexible length descriptions...
Helix is a general-purpose vision-language-motion (VLA) model from Figure for controlling humanoid robots. Helix pioneered high-speed control of the robot's entire upper body (including wrists, torso, head, and fingers)...
BioEmu is a generative deep learning system developed by Microsoft Research that efficiently simulates the dynamic structure and equilibrium conformation of proteins. It can generate thousands of protein structure samples per hour on a single GPU, far exceeding the efficiency of traditional molecular dynamics...