collaborators

9 papers

cs.SE2026

Dependency-Guided Code Generation: Structured Matrix Decomposition and Consistency-Guided Refinement

Mingqiao Mo, Yangchen Zeng, Zikai Xiao +7

The increasing complexity of modern software systems has made automated code generation a fundamental task in software engineering. However, existing approaches often fail to adequ…

cs.LG2026

TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning

Zijie Meng, Ziwei Li, Yufei Liu +5

Safe coordination in networked cyber-physical systems forces learning algorithms to simultaneously handle hybrid discrete-continuous actions, hard training-time safety constraints,…

cs.CV2026

OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation

Zijie Meng, Yufei Liu, Chengqian Ma +8

Generative world models for autonomous driving face two unresolved tensions: heterogeneous control injection, where free-form language, HD-maps, trajectories, and camera poses resi…

cs.LG2026

Equilibrium Residuals Expose Three Regimes of Matrix-Game Strategic Reasoning in Language Models

Wenhua Nie, Binhan Luo, Zijie Meng +2

Large language models can score well on named game-theory benchmarks while failing on the same strategic computation once semantic cues are removed. We show this gap with procedura…

cs.LG2026

Identified-Set Geometry of Distributional Model Extraction under Top- Censored API Access

Wenhua Nie, ZiCheng Zhu, Jianan Wu +3

Modern LLM APIs often reveal only top- logit scores and censor the remaining vocabulary. We study the per-position distribution-recovery limits of this access model. For censori…

cs.LG2026

Future Validity is the Missing Statistic: From Impossibility to -Estimation for Grammar-Faithful Speculative Decoding

Wenhua Nie, Zijie Meng, Kun Zou +5

Grammar-constrained generation is often combined with local vocabulary masking and speculative decoding, but the resulting sampling law is not the grammar-conditional distribution…