activity
20222024
most citedHanoiT: Enhancing Context-aware Translation via Selective Context

9 citations · 22 across the 11 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024

MdEval: Massively Multilingual Code Debugging

Shukai Liu, Linzheng Chai, Jian Yang +15

Code large language models (LLMs) have made significant progress in code debugging by directly generating the correct code based on the buggy code snippet. Programming benchmarks,…

cs.CL2024

FuzzCoder: Byte-level Fuzzing Test via Large Language Model

Liqun Yang, Jian Yang, Chaoren Wei +13

Fuzzing is an important dynamic program analysis technique designed for finding vulnerabilities in complex software. Fuzzing involves presenting a target program with crafted malic…

cs.CL2024

UniCoder: Scaling Code Large Language Model via Universal Code

Tao Sun, Linzheng Chai, Jian Yang +6

Intermediate reasoning or acting steps have successfully improved large language models (LLMs) for handling various downstream natural language processing (NLP) tasks. When applyin…

cs.PL2024★ 1 cited

McEval: Massively Multilingual Code Evaluation

Linzheng Chai, Shukai Liu, Jian Yang +15

Code large language models (LLMs) have shown remarkable advances in code understanding, completion, and generation tasks. Programming benchmarks, comprised of a selection of code c…

cs.CR2024★ 5 cited

SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence

Hangyuan Ji, Jian Yang, Linzheng Chai +9

To address the increasing complexity and frequency of cybersecurity incidents emphasized by the recent cybersecurity threat reports with over 10 billion instances, cyber threat int…

cs.CL2024

m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt

Jian Yang, Hongcheng Guo, Yuwei Yin +7

Multilingual translation supports multiple translation directions by projecting all languages in a shared space, but the translation quality is undermined by the difference between…

cs.CR2024

WGAN-AFL: Seed Generation Augmented Fuzzer with Wasserstein-GAN

Liqun Yang, Chunan Li, Yongxin Qiu +5

The importance of addressing security vulnerabilities is indisputable, with software becoming crucial in sectors such as national defense and finance. Consequently, The security is…