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5 papers

nlin.SI2026

On the Second-Order Positive Burgers' Equation: Integrability, Lax Pair, Darboux Transformations, and Lie Symmetry Reduction

Suman Pal, Prasanta chatterjee

This paper derives the second-order positive Burgers' equation from the standard Burgers' hierarchy to explore its complete integrability and exact analytical solutions. We constru…

cs.SE2026

SpecRL: Reinforcement Learning with Test-Based Completeness Rewards for Formal Specification Synthesis

Zhechong Huang, Zhao Zhang, Zeyu Sun +2

SpecRL is a reinforcement learning system that improves automatic generation of program specifications by rewarding candidates that reject impossible behaviors identified through g…

cs.SE2026

KBSpec: LLM-driven Formal Specification Generation with Evolving Domain Knowledge Base

Wenhan Wang, Zeyu Sun

Automated formal specification generation is a key step towards program understanding and formal verification. Recently, due to the success of large language models (LLMs) in code…

cs.SE2026

Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python

Wenhan Wang, Kaibo Liu, Zeyu Sun +4

Execution path reasoning is a key step towards program semantics understanding. It is crucial for generating test cases that cover certain branches/paths, or detecting bugs that ar…

cs.SE2025

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Zeyu Sun, Jingjing Liang, Weiyi Wang +3

MLIR (Multi-Level Intermediate Representation) has rapidly become a foundational technology for modern compiler frameworks, enabling extensibility across diverse domains. However,…