Trending Research
FastVLM: Efficient Vision Encoding for Vision Language Models
apple/ml-fastvlm
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At different operational resolutions, the vision encoder of a VLM can be optimized along two axes: reducing encoding latency and minimizing the number of visual tokens passed to the LLM, thereby lowering overall latency.
Continuous Thought Machines
SakanaAI/continuous-thought-machines
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The CTM has two core innovations: (1) neuron-level temporal processing, where each neuron uses unique weight parameters to process a history of incoming signals; and (2) neural synchronization employed as a latent representation.
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
LeapLabTHU/Absolute-Zero-Reasoner
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Reinforcement learning with verifiable rewards (RLVR) has shown promise in enhancing the reasoning capabilities of large language models by learning directly from outcome-based rewards.
Generating Physically Stable and Buildable LEGO Designs from Text
Our experiments show that LegoGPT produces stable, diverse, and aesthetically pleasing LEGO designs that align closely with the input text prompts.
Flow-GRPO: Training Flow Matching Models via Online RL
We propose Flow-GRPO, the first method integrating online reinforcement learning (RL) into flow matching models.
Ranked #1 on
Text-to-Image Generation
on GenEval
LTX-Video: Realtime Video Latent Diffusion
To address this, our VAE decoder is tasked with both latent-to-pixel conversion and the final denoising step, producing the clean result directly in pixel space.
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models
Large Multimodal Reasoning Models (LMRMs) have emerged as a promising paradigm, integrating modalities such as text, images, audio, and video to support complex reasoning capabilities and aiming to achieve comprehensive perception, precise understanding, and deep reasoning.
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
Learned from internet-scale videos, the generalist policy can be deployed to various robots through efficient latent action decoding.
OpenHelix: A Short Survey, Empirical Analysis, and Open-Source Dual-System VLA Model for Robotic Manipulation
Dual-system VLA (Vision-Language-Action) architectures have become a hot topic in embodied intelligence research, but there is a lack of sufficient open-source work for further performance analysis and optimization.
Unified Continuous Generative Models
We introduce a unified framework for training, sampling, and analyzing these models.
Ranked #1 on
Image Generation
on ImageNet 256x256
