Publications (5)
Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable
Wenhui Chen, Jianlin Chen, Ziyao Lin +1
When a self-improving AI-for-science system claims a new capability, the evidence is usually a benchmark delta, a description-length gate, or a p-value. None separates a real gain…
Judging Is Not Enumerating: Silent Omissions in LLM-Authored Acceptable Sets
Wenhui Chen, Jianlin Chen, Ziyao Lin +2
Language models are increasingly promoted from examinees to examiners: they write the test suites, answer keys, rubrics, and reward functions that define correctness for other syst…
The Capability Convergence Hypothesis: Capability from Access Structure, Not Scale
Wenhui Chen, Jianlin Chen, Ziyao Lin +1
The paper proposes that the ability of sequence models to solve tasks depends more on their internal access structure (a compressive state channel plus a scalable index channel) th…
DrivePTS: A Progressive Learning Framework with Textual and Structural Enhancement for Driving Scene Generation
Zhechao Wang, Yiming Zeng, Lufan Ma +4
Synthesis of diverse driving scenes serves as a crucial data augmentation technique for validating the robustness and generalizability of autonomous driving systems. Current method…
FNSE-SBGAN: Far-field Speech Enhancement with Schrodinger Bridge and Generative Adversarial Networks
Tong Lei, Qinwen Hu, Ziyao Lin +5
The prevailing method for neural speech enhancement predominantly utilizes fully-supervised deep learning with simulated pairs of far-field noisy-reverberant speech and clean speec…