6 papers
Probing Lorentz-invariance-violation with quantum coherence of Unruh-DeWitt detector
Yihao Wu, Xiaobao Liu, Zehua Tian
Testing Lorentz invariance violation (LIV) is notoriously difficult, as its characteristic energy scale, , in modified dispersion relations typically lies beyond current e…
Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation
Yihao Wu, Jinming Ma, Junbo Tan +5
Diffusion-based policies generalize poorly in semantic manipulation, a key obstacle to real-world deployment, because text-only instructions cannot reliably steer the policy toward…
CogRail: Benchmarking VLMs in Cognitive Intrusion Perception for Intelligent Railway Transportation Systems
Yonglin Tian, Qiyao Zhang, Wei Xu +9
Accurate and early perception of potential intrusion targets is essential for ensuring the safety of railway transportation systems. However, most existing systems focus narrowly o…
Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations
Yihao Wu, Tianrui Wang, Yizhou Peng +5
While biases in large language models (LLMs), such as stereotypes and cultural tendencies in outputs, have been examined and identified, their presence and characteristics in spoke…
Geometric phase assisted detection of Lorentz-invariance violation from modified dispersion at high energies
Yihao Wu, Zehua Tian
Many theories of quantum gravity propose Lorentz-violating dispersion relations of the form , which approximately recover to t…
Topic-to-essay generation with knowledge-based content selection
Jieyong Wang, Chunyao Song, Yihao Wu
The topic-to-essay generation task is a challenging natural language generation task that aims to generate paragraph-level text with high semantic coherence based on a given set of…