← Search

Yuyou Zhang

7 accepted papers

2026

SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs

ICLR 2026poster

We present SpinBench, a cognitively grounded diagnostic benchmark for evaluating spatial reasoning in vision language models (VLMs). SpinBench is designed around the core challenge of spatial reasoning: perspective taking, the ability to reason about how scenes and object relations change under vie…

Cited by 0SourcecodeScholar
2025

QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment

IROS 2025

When operating at their full capacity, quadrupedal robots can produce loud footstep noise, which can be disruptive in human-centered environments like homes, offices, and hospitals. As a result, balancing locomotion performance with noise constraints is crucial for the successful real-world deployme

Cited by 1SourceScholar
2025

Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety

ACL 2025finding

Large Language Models (LLMs) are vulnerable to jailbreak attacks that exploit weaknesses in traditional safety alignment, which often relies on rigid refusal heuristics or representation engineering to block harmful outputs. While they are effective for direct adversarial attacks, they fall short of…

Cited by 0SourcePDFScholar
2025

Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced Training

ACL 2025finding

Large Language Models (LLMs) have demonstrated strong reasoning capabilities across various tasks. However, even minor variations in query phrasing, despite preserving the underlying semantic meaning, can significantly affect their performance. To address this, we focus on enhancing LLMs’ awareness…

Cited by 0SourcePDFScholar
2022

Offline-Online Learning of Deformation Model for Cable Manipulation With Graph Neural Networks

RA-L 2022

Manipulating deformable linear objects by robots has a wide range of applications, e.g., manufacturing and medical surgery. To complete such tasks, an accurate dynamics model for predicting the deformation is critical for robust control. In this letter, we deal with this challenge by proposing a hyb

Cited by 69SourceScholar
2022

Vision-Based Contact Point Selection for the Fully Non-Fixed Contact Manipulation of Deformable Objects

RA-L 2022

Most of the research on deformable objects manipulation (DOM) is under the assumption of fixed contact (FC). Although there are some attempts to break this assumption, research on DOM with the fully non-fixed contact (FNFC), which refers that the object is not fixedly connected to both the end-effec

Cited by 7SourceScholar