13 citations · 14 across the 4 of their papers we have counts for
5 papers
DMA: Online RAG Alignment with Human Feedback
Yu Bai, Yukai Miao, Dawei Wang +9
Retrieval-augmented generation (RAG) systems often rely on static retrieval, limiting adaptation to evolving intent and content drift. We introduce Dynamic Memory Alignment (DMA),…
The Digital Cybersecurity Expert: How Far Have We Come?
Dawei Wang, Geng Zhou, Xianglong Li +5
The increasing deployment of large language models (LLMs) in the cybersecurity domain underscores the need for effective model selection and evaluation. However, traditional evalua…
The CodeInverter Suite: Structure- and Data-Aware Binary Decompilation with Efficient LLMs
Peipei Liu, Jian Sun, Rongkang Sun +7
Binary decompilation plays a vital role in various cybersecurity and software engineering tasks. Recently, end-to-end decompilation methods powered by large language models (LLMs)…
ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model
Dawei Wang, Geng Zhou, Li Chen +2
Vulnerabilities related to option combinations pose a significant challenge in software security testing due to their vast search space. Previous research primarily addressed this…
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback
Yu Bai, Yukai Miao, Li Chen +6
RAG systems face limitations when semantic relevance alone does not guarantee improved generation quality. This issue becomes particularly evident due to the sensitivity of large l…