7 papers
Teaching Vision-Language Models to Use the Scale They Are Given: Label-Free Equivariance Training for Metric Physical Reasoning
Kaizhen Tan, Yang Feng, Heqing Du +3
Metric questions about video require vision-language models to use supplied real-world references to convert visual measurements into physical units. Yet we find that current model…
Reasoning Shortcuts and Value Symmetries: What Symmetry Permits, Architecture Realizes, and Optimization Selects
Xin Xu
Reasoning shortcuts are rule solutions that reach correct predictions through unintended concepts. A recent framework of Takemura, Inoue, and Nishino analyzes them through an autom…
Beyond Multimodal Alignment: Certifying Physical Language through Response Substitution and Ordered Execution
Kaizhen Tan, Xin Xu, Siru Tao +4
World models increasingly treat compact multimodal representations as interfaces between perception and physical interaction, yet existing probes do not establish whether different…
Renaming or Tightness: Enforcing Disjunctive Information Flow Policies
Xin Xu, Siru Tao, Kaizhen Tan
A disjunctive policy allows a value to depend on at most one of two secrets and never on both: an analyst may consult one client's file or the other's, a share of a split secret ma…
What Can Latent World Models Know? Physical Parameter Identifiability in Multimodal Predictive Representations
Kaizhen Tan, Xin Xu, Siru Tao +4
A central premise of latent world models is that predicting the future forces a representation to internalize the physics of its environment. Which physical quantities does a train…
Collusion with Competitive Marginals: Price-Level Audits Are Blind by Construction
Xin Xu, Chengrui Wu, Jiayu Lu +3
Empirical work on algorithmic collusion asks one question of the data: are prices supracompetitive? We show this can be answered "no" by a conspiracy that is nonetheless profitable…