| 2024 | GCNet: Global-and-Context Collaborative Learning for Aspect-Based Sentiment Analysis. | Ting Zhou, Ying Shen, Yinghui Li |
| 2024 | Collecting and Analyzing Dialogues in a Tagline Co-Writing Task. | Xulin Zhou, Takuma Ichikawa, Ryuichiro Higashinaka |
| 2024 | Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack. | Ying Zhou, Ben He, Le Sun |
| 2024 | Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation. | Yue Zhou, Barbara Di Eugenio, Brian D. Ziebart, Lisa K. Sharp, Bing Liu, Nikolaos Agadakos |
| 2024 | ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks. | Yuhao Zhou, Wenxiang Chen, Rui Zheng, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks. | Ruiyang Zhou, Lu Chen, Kai Yu |
| 2024 | Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings. | Wei Zhou, Heike Adel, Hendrik Schuff, Ngoc Thang Vu |
| 2024 | Who Said What: Formalization and Benchmarks for the Task of Quote Attribution. | Wenjie Zhong, Jason Naradowsky, Hiroya Takamura, Ichiro Kobayashi, Yusuke Miyao |
| 2024 | Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals. | Rui Zheng, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition. | Zihao Zheng, Zihan Zhang, Zexin Wang, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin |
| 2024 | MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces. | Tianyu Zheng, Ge Zhang, Xingwei Qu, Ming Kuang, Wenhao Huang, Zhaofeng He |
| 2024 | Executing Natural Language-Described Algorithms with Large Language Models: An Investigation. | Xin Zheng, Qiming Zhu, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun |
| 2024 | Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling. | Guangmin Zheng, Jin Wang, Xiaobing Zhou, Xuejie Zhang |
| 2024 | Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training. | Xiangping Zheng, Bo Wu, Alex X. Zhang, Wei Li |
| 2024 | Hypergraph-Based Session Modeling: A Multi-Collaborative Self-Supervised Approach for Enhanced Recommender Systems. | Xiangping Zheng, Bo Wu, Alex X. Zhang, Wei Li |
| 2024 | Locally Differentially Private In-Context Learning. | Chunyan Zheng, Keke Sun, Wenhao Zhao, Haibo Zhou, Lixing Jiang, Shaoyang Song, Chunlai Zhou |
| 2024 | ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval. | Yuanhang Zheng, Peng Li, Wei Liu, Yang Liu, Jian Luan, Bin Wang |
| 2024 | Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer. | Jianyu Zheng, Fengfei Fan, Jianquan Li |
| 2024 | Probe Then Retrieve and Reason: Distilling Probing and Reasoning Capabilities into Smaller Language Models. | Yichun Zhao, Shuheng Zhou, Huijia Zhu |
| 2024 | Dual Encoder: Exploiting the Potential of Syntactic and Semantic for Aspect Sentiment Triplet Extraction. | Xiaowei Zhao, Yong Zhou, Xiujuan Xu |
| 2024 | Improving the Robustness of Large Language Models via Consistency Alignment. | Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin |
| 2024 | MccSTN: Multi-Scale Contrast and Fine-Grained Feature Fusion Networks for Subject-driven Style Transfer. | Honggang Zhao, Chunling Xiao, Jiayi Yang, Guozhu Jin, Mingyong Li |
| 2024 | A Comparative Study of Explicit and Implicit Gender Biases in Large Language Models via Self-evaluation. | Yachao Zhao, Bo Wang, Yan Wang, Dongming Zhao, Xiaojia Jin, Jijun Zhang, Ruifang He, Yuexian Hou |
| 2024 | PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. | Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong |
| 2024 | MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis. | Yutian Zhao, Huimin Wang, Xian Wu, Yefeng Zheng |