Papers
176,624 papers found
Demonstrating Berkeley Humanoid Lite: An Open-source, Accessible, and Customizable 3D-printed Humanoid Robot
Yufeng Chi, Qiayuan Liao, Junfeng Long et al.
Demonstrating CavePI: Autonomous Exploration of Underwater Caves by Semantic Guidance
Alankrit Gupta, Adnan Abdullah, Xianyao Li et al.
Demonstrating DVS: Dynamic Virtual-Real Simulation Platform for Mobile Robotic Tasks
Zijie Zheng, Zeshun Li, Yunpeng Wang et al.
Demonstrating GPU Parallelized Robot Simulation and Rendering for Generalizable Embodied AI with ManiSkill3
Stone Tao, Fanbo Xiang, Arth Shukla et al.
Demonstrating LEAP Hand v2: Low-Cost, Easy-to-Assemble, High-Performance Hand for Robot Learning
Kenneth Shaw, Deepak Pathak
Demonstrating MOSART: Opening Articulated Structures in the Real World
Arjun Gupta, Michelle Zhang, Rishik Sathua et al.
Demonstrating MuJoCo Playground
Kevin Zakka, Baruch Tabanpour, Qiayuan Liao et al.
Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
Che Wang, Jeroen Vanbaar, Chaitanya Mitash et al.
Demonstrating REASSEMBLE: A Multimodal Dataset for Contact-rich Robotic Assembly and Disassembly
Daniel Sliwowski, Shail Jadav, Sergej Stanovcic et al.
Demonstrating Shared Force-Language Embeddings for Natural Human-Robot Communication
Ravi Tejwani, Karl Angel Velazquez, John Payne et al.
Demonstrating the Octopi-1.5 Visual-Tactile-Language Model
Samson Yu, Lin Kelvin, Harold Soh
Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid
Parv Kapoor, Ian Higgins, Nikhil Varma Keetha et al.
DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling
Minzheng Wang, Xinghua Zhang, Kun Chen et al.
Demystifying Domain-adaptive Post-training for Financial LLMs
Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen et al.
Demystifying Multilingual Reasoning in Process Reward Modeling
Weixuan Wang, Minghao Wu, Barry Haddow et al.
Demystifying optimized prompts in language models
Rimon Melamed, Lucas Hurley McCabe, H Howie Huang
Demystifying Small Language Models for Edge Deployment
Zhenyan Lu, Xiang Li, Dongqi Cai et al.
Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
Feiyang Kang, Newsha Ardalani, Michael Kuchnik et al.
Demystifying the Power of Large Language Models in Graph Generation
Yu Wang, Ryan A. Rossi, Namyong Park et al.
Demystify Verbosity Compensation Behavior of Large Language Models
Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Qihua Zhou, Ruibin Li, Jingcai Guo et al.
Denoised Attention and Question-Augmented Representations for Knowledge Tracing
Jiwei Deng, Youheng Bai, Mingliang Hou et al.
Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval
Weijia Liu, Jiuxin Cao, Bo Miao et al.
Denoising Diffusion Models are Good General Gaze Feature Learners
Guanzhong Zeng, Jingjing Wang, Pengwei Yin et al.
Denoising Diffusion Models for High-Resolution Microscopy Image Restoration
Pamela Osuna-Vargas, Maren H. Wehrheim, Lucas Zinz et al.