9 papers
Measuring the Wrong Thing: Internal Harmfulness Scores Anti-Rank Successful Jailbreaks
Mingyu Luo, Ming Deng, Zilang Qiu +8
Internal safety scores judge a prompt before any text is generated, and they are validated by how well they separate harmful prompts from benign ones. That separation is then read…
TC-MAF: Train-Calibrated Bounded Multi-Evidence Fusion for Multimodal Industrial Anomaly Detection
Ming Deng, Sijin Sun, Xiaochuan Hu +1
The paper introduces TC-MAF, a method that fuses RGB images and 3D data with a calibrated weighting scheme to improve industrial anomaly detection and localization, achieving state…
CobSeg: Coherence Boundary Modeling for Dialogue Topic Segmentation
Sijin Sun, Liangbin Zhao, Jiaxiang Cai +3
Dialogue topic segmentation is critical in many human-AI collaborative applications which requires identifying heterogeneous boundary cues, including lexical transitions near utter…
From Vessel Trajectories to Safety-Critical Encounter Scenarios: A Generative AI Framework for Autonomous Ship Digital Testing
Sijin Sun, Liangbin Zhao, Ming Deng +1
Digital testing has emerged as a key paradigm for the development and verification of autonomous maritime navigation systems, yet the availability of realistic and diverse safety-c…
DASH: Dialogue-Aware Similarity and Handshake Recognition for Topic Segmentation in Public-Channel Conversations
Sijin Sun, Liangbin Zhao, Ming Deng +1
Dialogue Topic Segmentation (DTS) is crucial for understanding task-oriented public-channel communications, such as maritime VHF dialogues, which feature informal speech and implic…
FMNet: Frequency-Assisted Mamba-Like Linear Attention Network for Camouflaged Object Detection
Ming Deng, Sijin Sun, Zihao Li +2
Camouflaged Object Detection (COD) is challenging due to the strong similarity between camouflaged objects and their surroundings, which complicates identification. Existing method…