2 citations · 3 across the 6 of their papers we have counts for
9 papers
Beyond Kinematic Tracking: Preserving Expressive Characteristics in Humanoid Whole-Body Control
Lingfan Bao, Hanshang Zhu, Yan Pan +6
Whole-body control plays a crucial role in enabling humanoid robots to execute expressive motions. Faithful execution requires preserving both the intended action and its expressiv…
ForesightSafety-VLA: A Unified Diagnostic Safety Benchmark for Vision-Language-Action Models
Mingyang Lyu, Yinqian Sun, Yiyang Jia +5
In embodied intelligence, safety is a prerequisite for reliable robot deployment in the physical world. Current vision-language-action (VLA) models continue to advance toward gener…
When Autoregressive Consistency Hurts Safety Alignment
Bochen Lyu, Yiyang Jia, Xiaohao Cai +1
Safety alignment in large language models (LLMs) is fragile in part because it is often shallow: fine-tuning mainly reshapes the model's behavior near the first few output tokens.…
A Categorical Analysis of Large Language Models and Why LLMs Circumvent the Symbol Grounding Problem
Luciano Floridi, Yiyang Jia, Fernando Tohmé
This paper presents a formal, categorical framework for analysing how humans and large language models (LLMs) transform content into truth-evaluated propositions about a state spac…
Self-Motivated Growing Neural Network for Adaptive Architecture via Local Structural Plasticity
Yiyang Jia, Chengxu Zhou
Control policies are often implemented with fixed-capacity multilayer perceptrons trained by backpropagation, which require architecture selection in advance and cannot adapt their…
Transformers with RL or SFT Provably Learn Sparse Boolean Functions, But Differently
Bochen Lyu, Yiyang Jia, Xiaohao Cai +1
Transformers can acquire Chain-of-Thought (CoT) capabilities to solve reasoning tasks via fine-tuning. Reinforcement learning (RL) and supervised fine-tuning (SFT) are two primary…
Modeling GRNs with a Probabilistic Categorical Framework
Yiyang Jia, Zheng Wei, Zheng Yang +1
Understanding the complex and stochastic nature of Gene Regulatory Networks (GRNs) remains a central challenge in systems biology. Existing modeling paradigms often struggle to eff…
Contact diagrams for chords
Yiyang Jia
We demonstrate how contact chord diagrams can arise from certain Fock-space models and compute the corresponding correlation functions using the chord path integral technique. In p…
Category-Theoretical and Topos-Theoretical Frameworks in Machine Learning: A Survey
Yiyang Jia, Guohong Peng, Zheng Yang +1
In this survey, we provide an overview of category theory-derived machine learning from four mainstream perspectives: gradient-based learning, probability-based learning, invarianc…