51 citations · 56 across the 5 of their papers we have counts for
6 papers
SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin
Hanzhuo Tan, Weihao Li, Xiaolong Tian +4
Large Language Models (LLMs) have emerged as a promising approach for binary decompilation. However, the existing LLM-based decompilers still are somewhat limited in effectively pr…
Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation
Hanzhuo Tan, Xiaolong Tian, Hanrui Qi +6
Recent advances in LLM-based decompilers have been shown effective to convert low-level binaries into human-readable source code. However, there still lacks a comprehensive benchma…
Prompt-based Code Completion via Multi-Retrieval Augmented Generation
Hanzhuo Tan, Qi Luo, Ling Jiang +4
Automated code completion, aiming at generating subsequent tokens from unfinished code, has been significantly benefited from recent progress in pre-trained Large Language Models (…
LLM4Decompile: Decompiling Binary Code with Large Language Models
Hanzhuo Tan, Qi Luo, Jing Li +1
Decompilation aims to convert binary code to high-level source code, but traditional tools like Ghidra often produce results that are difficult to read and execute. Motivated by th…
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
Hanzhuo Tan, Chunpu Xu, Jing Li +4
Natural language understanding (NLU) is integral to various social media applications. However, existing NLU models rely heavily on context for semantic learning, resulting in comp…
Understanding Social Media Cross-Modality Discourse in Linguistic Space
Chunpu Xu, Hanzhuo Tan, Jing Li +1
The multimedia communications with texts and images are popular on social media. However, limited studies concern how images are structured with texts to form coherent meanings in…