| 2026 | AAAI | Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models. | Ran Jing, Geng Tu, Yice Zhang, Ruifeng Xu |
| 2026 | ACL | ArgGenBench: Benchmarking the Complex Controlled Argument Generation Capability of Large Language Models. | Bojun Jin, Jianzhu Bao, Yang Sun, Yice Zhang, Ruifeng Xu |
| 2025 | ACL | A Multi-persona Framework for Argument Quality Assessment. | Bojun Jin, Jianzhu Bao, Yufang Hou, Yang Sun, Yice Zhang, Huajie Wang, Bin Liang, Ruifeng Xu |
| 2025 | ACL | DS²-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis. | Hongling Xu, Yice Zhang, Qianlong Wang, Ruifeng Xu |
| 2025 | ACL | CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation. | Jingqian Zhao, Bingbing Wang, Geng Tu, Yice Zhang, Qianlong Wang, Bin Liang, Jing Li, Ruifeng Xu |
| 2025 | EMNLP | Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining. | Jianzhu Bao, Yuqi Huang, Yang Sun, Wenya Wang, Yice Zhang, Bojun Jin, Ruifeng Xu |
| 2025 | EMNLP | Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models. | Guangyu Xie, Yice Zhang, Jianzhu Bao, Qianlong Wang, Yang Sun, Bingbing Wang, Ruifeng Xu |
| 2025 | EMNLP | Targeted Distillation for Sentiment Analysis. | Yice Zhang, Guangyu Xie, Jingjie Lin, Jianzhu Bao, Qianlong Wang, Xi Zeng, Ruifeng Xu |
| 2024 | AAAI | Enhancing Multi-Label Classification via Dynamic Label-Order Learning. | Jiangnan Li, Yice Zhang, Shiwei Chen, Ruifeng Xu |
| 2024 | ACL | Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. | Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu |
| 2024 | ACL | Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction. | Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu |
| 2024 | ICASSP | Enhancing Generative Aspect-Based Sentiment Analysis with Relation-Level Supervision and Prompt. | Yifan Yang, Yice Zhang, Ruifeng Xu |
| 2023 | ACL | Probing Graph Decomposition for Argument Pair Extraction. | Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang, Ruifeng Xu |
| 2023 | ACL | An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis. | Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu |
| 2023 | EMNLP | Set Learning for Generative Information Extraction. | Jiangnan Li, Yice Zhang, Bin Liang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction. | Yice Zhang, Yifan Yang, Meng Li, Bin Liang, Shiwei Chen, Ruifeng Xu |
| 2022 | EMNLP | Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering. | Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu |
| 2022 | EMNLP | Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction. | Yice Zhang, Yifan Yang, Yihui Li, Bin Liang, Shiwei Chen, Yixue Dang, Min Yang, Ruifeng Xu |
| 2021 | EMNLP | Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph. | Jianzhu Bao, Bin Liang, Jingyi Sun, Yice Zhang, Min Yang, Ruifeng Xu |