1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Interpreting and Steering for Safe and Correct Code Generation
Hao Yan, Ziyu Yao
Large language models (LLMs) frequently generate source code containing vulnerabilities, yet little work studies the internal mechanisms that distinguish safe from vulnerable gener…
cs.HC2024★ 1 cited
IntelliExplain: Enhancing Conversational Code Generation for Non-Professional Programmers
Hao Yan, Thomas D. Latoza, Ziyu Yao
Chat LLMs such as GPT-3.5-turbo and GPT-4 have shown promise in assisting humans in coding, particularly by enabling them to conversationally provide feedback. However, current app…
cs.CL2023
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing
Hao Yan, Saurabh Srivastava, Yintao Tai +3
Interactive semantic parsing based on natural language (NL) feedback, where users provide feedback to correct the parser mistakes, has emerged as a more practical scenario than the…