activity
20182025
most citedContextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search

61 citations · 196 across the 16 of their papers we have counts for

collaborators

24 papers

cs.CR20251 cited

Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak Attacking

Yanzeng Li, Yunfan Xiong, Jialun Zhong +3

The rise of Large Language Models (LLMs) has led to significant applications but also introduced serious security threats, particularly from jailbreak attacks that manipulate outpu…

cs.HC2024

VSD2M: A Large-scale Vision-language Sticker Dataset for Multi-frame Animated Sticker Generation

Zhiqiang Yuan, Jiapei Zhang, Ying Deng +3

As a common form of communication in social media,stickers win users' love in the internet scenarios, for their ability to convey emotions in a vivid, cute, and interesting way. Pe…

cs.AI20241 cited

MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient

Yanzeng Li, Cheng Zeng, Jinchao Zhang +2

Medical education relies heavily on Simulated Patients (SPs) to provide a safe environment for students to practice clinical skills, including medical image analysis. However, the…

cs.CL20221 cited

Rephrasing the Reference for Non-Autoregressive Machine Translation

Chenze Shao, Jinchao Zhang, Jie Zhou +1

Non-autoregressive neural machine translation (NAT) models suffer from the multi-modality problem that there may exist multiple possible translations of a source sentence, so the r…

cs.AI20223 cited

AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning

Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang +2

Recent studies have shown the impressive efficacy of counterfactually augmented data (CAD) for reducing NLU models' reliance on spurious features and improving their generalizabili…

cs.CL2022

Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues

Jiao Ou, Jinchao Zhang, Yang Feng +1

The construction of open-domain dialogue systems requires high-quality dialogue datasets. The dialogue data admits a wide variety of responses for a given dialogue history, especia…