3 papers
cs.SE2025
Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison
Ruixin Wang, Zhongkai Zhao, Le Fang +4
Automated Program Repair (APR) holds the promise of alleviating the burden of debugging and fixing software bugs. Despite this, developers still need to manually inspect each patch…
cs.SE2024
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code
Nan Jiang, Qi Li, Lin Tan +1
Despite their success, large language models (LLMs) face the critical challenge of hallucinations, generating plausible but incorrect content. While much research has focused on ha…
cs.RO2024
SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models
Yi Wu, Zikang Xiong, Yiran Hu +5
Despite significant advancements in large language models (LLMs) that enhance robot agents' understanding and execution of natural language (NL) commands, ensuring the agents adher…