Papers
YNU-HPCC at SemEval-2025 Task3: Leveraging Zero-Shot Learning for Halluciantion Detection
Shen Chen, Jin Wang, Xuejie Zhang
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
Jieying Xue, Phuong Minh Nguyen, Minh Le Nguyen et al.
CTYUN-AI at SemEval-2025 Task 1: Learning to Rank for Idiomatic Expressions
Yuming Fan, Dongming Yang, Zefeng Cai et al.
VerbaNexAI at SemEval-2025 Task 9: Advances and Challenges in the Automatic Detection of Food Hazards
Andrea Menco Tovar, Edwin Puertas, Juan Carlos Martinez-Santos
Learning Interpretable Features from Interventions
Erin Hedlund-Botti, Julianna Schalkwyk, Nina Marie Moorman et al.
Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations
Ken-Joel Simmoteit, Philipp Schillinger, Leonel Rozo
SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation
Shengjie Wang, Jiacheng You, Yihang Hu et al.
Gripper Pose and Object Pointflow as Interfaces for Robotic Bimanual Manipulation
Yuyin Yang, Zetao Cai, Yang Tian et al.
Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training
Xiatao Sun, Shuo Yang, Yinxing Chen et al.
IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
Krishan Rana, Robert Lee, David Pershouse et al.
DemoGen: Synthetic Demonstration Generation for Data-Efficient Visuomotor Policy Learning
Zhengrong Xue, Shuying Deng, Zhenyang Chen et al.
ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation
Yufei Wang, Ziyu Wang, Mino Nakura et al.
Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization
Jonathan Heewon Yang, Chuyuan Fu, Dhruv Shah et al.
Hierarchical and Modular Network on Non-prehensile Manipulation in General Environments
Yoonyoung Cho, Junhyek Han, Jisu Han et al.
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
Wenxuan Li, Hang Zhao, Zhiyuan Yu et al.
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
Kun Wu, Chengkai Hou, Jiaming Liu et al.
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
Peihong Yu, Amisha Bhaskar, Anukriti Singh et al.
Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
Chenrui Tie, Shengxiang Sun, Jinxuan Zhu et al.
You Only Teach Once: Learn One-Shot Bimanual Robotic Manipulation from Video Demonstrations
Huayi Zhou, Ruixiang Wang, Yunxin Tai et al.
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation
Yifan Yin, Zhengtao Han, Shivam Aarya et al.
STDArm: Transfer Visuomotor Policy From Static Data Training to Dynamic Robot Manipulation
Yifan Duan, Heng Li, Yilong Wu et al.
Novel Demonstration Generation with Gaussian Splatting Enables Robust One-Shot Manipulation
Sizhe Yang, Wenye Yu, Jia Zeng et al.
Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins
Chuanruo Ning, Kuan Fang, Wei-Chiu Ma
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas, Christian Schlauch, Adrian Paschke et al.