8 papers
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.…
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…
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…
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…
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…