most citedSPARK: Stepwise Process-Aware Rewards for Reference-Free Reinforcement Learning

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing cs.SEShow all

2 papers · 1 filter

cs.SE2026

TraceCoder: A Trace-Driven Multi-Agent Framework for Automated Debugging of LLM-Generated Code

Jiangping Huang, Wenguang Ye, Weisong Sun +3

Large Language Models (LLMs) often generate code with subtle but critical bugs, especially for complex tasks. Existing automated repair methods typically rely on superficial pass/f…

cs.SE2025

When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction

Zhenchang Xing, Yang Liu, Zhuo Cheng +4

With the growing capabilities of large language models (LLMs), they are increasingly applied in areas like intelligent customer service, code generation, and knowledge management.…