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

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

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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.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.CL20232 cited

MT4CrossOIE: Multi-stage Tuning for Cross-lingual Open Information Extraction

Tongliang Li, Zixiang Wang, Linzheng Chai +8

Cross-lingual open information extraction aims to extract structured information from raw text across multiple languages. Previous work uses a shared cross-lingual pre-trained mode…

cs.CL2023

OWL: A Large Language Model for IT Operations

Hongcheng Guo, Jian Yang, Jiaheng Liu +13

With the rapid development of IT operations, it has become increasingly crucial to efficiently manage and analyze large volumes of data for practical applications. The techniques o…