Yice Zhang

36 papers A* 8A 1C 1Misc 1Journal 9Unranked 16
YearRankTypeTitle / Venue / Authors
2026 A* conf
Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models.
AAAI
Ran Jing, Geng Tu, Yice Zhang, Ruifeng Xu
2025 — conf
A Multi-persona Framework for Argument Quality Assessment.
ACL (1)
Bojun Jin, Jianzhu Bao, Yufang Hou, Yang Sun, Yice Zhang, Huajie Wang, Bin Liang, Ruifeng Xu
2025 A* conf
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models.
EMNLP
Guangyu Xie, Yice Zhang, Jianzhu Bao, Qianlong Wang, Yang Sun, Bingbing Wang, Ruifeng Xu
2025 J jnl
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models.
CoRR
Guangyu Xie, Yice Zhang, Jianzhu Bao, Qianlong Wang, Yang Sun, Bingbing Wang, Ruifeng Xu
2025 — conf
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation.
ACL (1)
Jingqian Zhao, Bingbing Wang, Geng Tu, Yice Zhang, Qianlong Wang, Bin Liang, Jing Li, Ruifeng Xu
2025 J jnl
CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation.
CoRR
Jingqian Zhao, Bingbing Wang, Geng Tu, Yice Zhang, Qianlong Wang, Bin Liang, Jing Li, Ruifeng Xu
2025 — conf
DS²-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis.
ACL (1)
Hongling Xu, Yice Zhang, Qianlong Wang, Ruifeng Xu
2025 A* conf
Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining.
EMNLP
Jianzhu Bao, Yuqi Huang, Yang Sun, Wenya Wang, Yice Zhang, Bojun Jin, Ruifeng Xu
2025 A conf
Multimodal Emotion Recognition in Conversations via Graph Structure Learning.
ICME
Feng Xiong, Geng Tu, Yice Zhang, Jun Wang, Shiwei Chen, Bin Liang, Yue Yu, Min Yang, Ruifeng Xu
2025 A* conf
Targeted Distillation for Sentiment Analysis.
EMNLP
Yice Zhang, Guangyu Xie, Jingjie Lin, Jianzhu Bao, Qianlong Wang, Xi Zeng, Ruifeng Xu
2025 J jnl
Targeted Distillation for Sentiment Analysis.
CoRR
Yice Zhang, Guangyu Xie, Jingjie Lin, Jianzhu Bao, Qianlong Wang, Xi Zeng, Ruifeng Xu
2024 J jnl
DS
CoRR
Hongling Xu, Yice Zhang, Qianlong Wang, Ruifeng Xu
2024 J jnl
Distilling Fine-grained Sentiment Understanding from Large Language Models.
CoRR
Yice Zhang, Guangyu Xie, Hongling Xu, Kaiheng Hou, Jianzhu Bao, Qianlong Wang, Shiwei Chen, Ruifeng Xu
2024 — conf
Dynamic Point Cloud Segmentation System for Under-Train Inspection Robot.
ROBIO
Yuxin Su, Yi Lin, Chunhong Yan, Yice Zhang, Lei Ma, Muhua Zhang, Kai Shen, Yongkui Sun
2024 Misc conf
Enhancing Generative Aspect-Based Sentiment Analysis with Relation-Level Supervision and Prompt.
ICASSP
Yifan Yang, Yice Zhang, Ruifeng Xu
2024 A* conf
Enhancing Multi-Label Classification via Dynamic Label-Order Learning.
AAAI
Jiangnan Li, Yice Zhang, Shiwei Chen, Ruifeng Xu
2024 — conf
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.
ACL (Findings)
Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu
2024 J jnl
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.
CoRR
Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu
2024 — conf
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction.
ACL (1)
Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu
2024 J jnl
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction.
CoRR
Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu
2023 — conf
A Generative Model for Structured Sentiment Analysis.
AIMS
Yihui Li, Yice Zhang, Yifan Yang, Ruifeng Xu
2023 — conf
An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis.
ACL (Findings)
Yice Zhang, Yifan Yang, Bin Liang, Shiwei Chen, Bing Qin, Ruifeng Xu
2023 J jnl
Benchmarking Large Language Models with Augmented Instructions for Fine-grained Information Extraction.
CoRR
Jun Gao, Huan Zhao, Yice Zhang, Wei Wang, Changlong Yu, Ruifeng Xu
2023 — conf
Probing Graph Decomposition for Argument Pair Extraction.
ACL (Findings)
Yang Sun, Bin Liang, Jianzhu Bao, Yice Zhang, Geng Tu, Min Yang, Ruifeng Xu
2023 A* conf
Set Learning for Generative Information Extraction.
EMNLP
Jiangnan Li, Yice Zhang, Bin Liang, Kam-Fai Wong, Ruifeng Xu
2023 A* conf
Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction.
EMNLP
Yice Zhang, Yifan Yang, Meng Li, Bin Liang, Shiwei Chen, Ruifeng Xu
2022 A* conf
Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction.
EMNLP
Yice Zhang, Yifan Yang, Yihui Li, Bin Liang, Shiwei Chen, Yixue Dang, Min Yang, Ruifeng Xu
2022 — conf
HITSZ-HLT at SemEval-2022 Task 10: A Span-Relation Extraction Framework for Structured Sentiment Analysis.
SemEval@NAACL
Yihui Li, Yifan Yang, Yice Zhang, Ruifeng Xu
2022 — conf
Masked Language Models Know Which are Popular: A Simple Ranking Strategy for Commonsense Question Answering.
EMNLP (Findings)
Xuan Luo, Chuang Fan, Yice Zhang, Wanguo Jiang, Bing Qin, Ruifeng Xu
2021 — conf
A Privacy Knowledge Transfer Method for Clinical Concept Extraction.
AIMS
Xuan Luo, Yiping Yin, Yice Zhang, Ruifeng Xu
2021 — conf
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph.
EMNLP (1)
Jianzhu Bao, Bin Liang, Jingyi Sun, Yice Zhang, Min Yang, Ruifeng Xu
2021 C conf
Contrastive Learning for Multiple Models in One Supernet.
ICCC
Sean Xu, Yihui Li, Yice Zhang, Ruifeng Xu, Jianxin Li, Guozhong Shi, Feiran Hu
2021 — conf
HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection.
SemEval@ACL/IJCNLP
Qinglin Zhu, Zijie Lin, Yice Zhang, Jingyi Sun, Xiang Li, Qihui Lin, Yixue Dang, Ruifeng Xu
2021 — conf
LightBERT: A Distilled Chinese BERT Model.
AIMS
Yice Zhang, Yihui Li, Peng Xu, Ruifeng Xu, Jianxin Li, Guozhong Shi, Feiran Hu
2020 — conf
CN-HIT-IT.NLP at SemEval-2020 Task 4: Enhanced Language Representation with Multiple Knowledge Triples.
SemEval@COLING
Yice Zhang, Jiaxuan Lin, Yang Fan, Peng Jin, Yuanchao Liu, Bingquan Liu
2018 J jnl
On the Fairness of Quality-based Data Markets.
CoRR
Dan Zhang, Hongzhi Wang, Xiaoou Ding, Yice Zhang, Jianzhong Li, Hong Gao