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Hong Kong University of Science and Technology
- Shanghai,China
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09:46
(UTC -12:00) - https://hq-King.github.io
Stars
这是一个从头训练大语言模型的项目,包括预训练、微调和直接偏好优化,模型拥有1B参数,支持中英文。
BEHAVIOR-1K: a platform for accelerating Embodied AI research. Join our Discord for support: https://discord.gg/bccR5vGFEx
[NeurIPS 2025] 3DRS: MLLMs Need 3D-Aware Representation Supervision for Scene Understanding
Kardia-R1: Unleashing LLMs to Reason toward Understanding and Empathy for Emotional Support via Rubric-as-Judge Reinforcement Learning
[SIGGRAPH 2025] LAM: Large Avatar Model for One-shot Animatable Gaussian Head
PyTorch implementation of JiT https://arxiv.org/abs/2511.13720
Awesome collection of resources and papers on Diffusion Models for Robotic Manipulation.
Part-X-MLLM: Part-aware 3D Multimodal Large Language Model
[CVPR 2024] Official implementation of "Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction"
Code implementation of the paper "World-in-World: World Models in a Closed-Loop World"
[Neurips DB 2025] PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"
Best Papers of Top Venues like CVPR, NeurIPS, ICLR, ICML, ICCV, ECCV, ...
Official implementation of Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
【EMNLP 2024🔥】Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
[ICLR 2025] LAPA: Latent Action Pretraining from Videos
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
[ICLR 2025 Oral] Seer: Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
A curated list of Diffusion Model in RL resources (continually updated)