Ziqi Wang

According to our database, Ziqi Wang authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

RM-R1: Reward Modeling as Reasoning.

Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji

CoRR, May, 2025

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective.

Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik

CoRR, February, 2025

Eliminating Position Bias of Language Models: A Mechanistic Approach.

Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Model Extrapolation Expedites Alignment.

Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Entailment-Preserving First-order Logic Representations in Natural Language Entailment.

Jinu Lee, Qi Liu, Runzhi Ma, Vincent Han, Ziqi Wang, Heng Ji, Julia Hockenmaier

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Weak-to-Strong Extrapolation Expedites Alignment.

Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng

CoRR, 2024

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint.

Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enabling Lanuguage Models to Implicitly Learn Self-Improvement.

Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.

Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Enable Language Models to Implicitly Learn Self-Improvement From Data.

Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji

CoRR, 2023

In-Context Learning of Large Language Models Explained as Kernel Regression.

Chi Han, Ziqi Wang, Han Zhao, Heng Ji

CoRR, 2023

Understanding the Effect of Data Augmentation on Knowledge Distillation.

Ziqi Wang, Chi Han, Wenxuan Bao, Heng Ji

CoRR, 2023

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought.

Tianci Xue, Ziqi Wang, Zhenhailong Wang, Chi Han, Pengfei Yu, Heng Ji

CoRR, 2023

SmartBook: AI-Assisted Situation Report Generation.

Revanth Gangi Reddy, Yi R. Fung, Qi Zeng, Manling Li, Ziqi Wang, Paul Sullivan, Heng Ji

CoRR, 2023

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.

Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System.

Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-Shyuan Chiang, Tuan Manh Lai, Pengfei Yu, Zixuan Zhang, Heng Ji

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

CLEVE: Contrastive Pre-training for Event Extraction.

Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Learning from Explanations with Neural Execution Tree.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

Proceedings of the 8th International Conference on Learning Representations, 2020

MAVEN: A Massive General Domain Event Detection Dataset.

Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

CoRR, 2019

Neural Rule Grounding for Low-Resource Relation Extraction.

Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren

CoRR, 2019

HMEAE: Hierarchical Modular Event Argument Extraction.

Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019