Ziqi Wang

31 papers A* 7Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Eliminating Position Bias of Language Models: A Mechanistic Approach.
ICLR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2025 — conf
Entailment-Preserving First-order Logic Representations in Natural Language Entailment.
ACL (1)
Jinu Lee, Qi Liu, Runzhi Ma, Vincent Han, Ziqi Wang, Heng Ji, Julia Hockenmaier
2025 J jnl
Entailment-Preserving First-order Logic Representations in Natural Language Entailment.
CoRR
Jinu Lee, Qi Liu, Runzhi Ma, Vincent Han, Ziqi Wang, Heng Ji, Julia Hockenmaier
2025 A* conf
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective.
ICML
Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025 J jnl
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective.
CoRR
Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik
2025 — conf
Model Extrapolation Expedites Alignment.
ACL (1)
Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng
2025 J jnl
RM-R1: Reward Modeling as Reasoning.
CoRR
Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
2025 J jnl
Understanding Emergent In-Context Learning from a Kernel Regression Perspective.
Trans. Mach. Learn. Res.
Chi Han, Ziqi Wang, Han Zhao, Heng Ji
2024 J jnl
Eliminating Position Bias of Language Models: A Mechanistic Approach.
CoRR
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2024 A* conf
Enabling Lanuguage Models to Implicitly Learn Self-Improvement.
ICLR
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2024 A* conf
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint.
ICML
Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang
2024 J jnl
Weak-to-Strong Extrapolation Expedites Alignment.
CoRR
Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng
2023 A* conf
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.
ICLR
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
2023 J jnl
Enable Language Models to Implicitly Learn Self-Improvement From Data.
CoRR
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2023 J jnl
In-Context Learning of Large Language Models Explained as Kernel Regression.
CoRR
Chi Han, Ziqi Wang, Han Zhao, Heng Ji
2023 J jnl
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought.
CoRR
Tianci Xue, Ziqi Wang, Zhenhailong Wang, Chi Han, Pengfei Yu, Heng Ji
2023 J jnl
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
2023 J jnl
SmartBook: AI-Assisted Situation Report Generation.
CoRR
Revanth Gangi Reddy, Yi R. Fung, Qi Zeng, Manling Li, Ziqi Wang, Paul Sullivan, Heng Ji
2023 J jnl
Understanding the Effect of Data Augmentation on Knowledge Distillation.
CoRR
Ziqi Wang, Chi Han, Wenxuan Bao, Heng Ji
2022 J jnl
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation.
CoRR
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
2022 — conf
COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System.
ACL (demo)
Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-Shyuan Chiang, Tuan Manh Lai, Pengfei Yu, Zixuan Zhang, Heng Ji
2022 J jnl
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
CoRR
Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
2021 — conf
CLEVE: Contrastive Pre-training for Event Extraction.
ACL/IJCNLP (1)
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou
2021 J jnl
CLEVE: Contrastive Pre-training for Event Extraction.
CoRR
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, Jie Zhou
2020 A* conf
Learning from Explanations with Neural Execution Tree.
ICLR
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
2020 — conf
MAVEN: A Massive General Domain Event Detection Dataset.
EMNLP (1)
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
2020 J jnl
MAVEN: A Massive General Domain Event Detection Dataset.
CoRR
Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, Jie Zhou
2020 A* conf
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction.
WWW
Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren
2019 — conf
HMEAE: Hierarchical Modular Event Argument Extraction.
EMNLP/IJCNLP (1)
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren
2019 J jnl
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.
CoRR
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
2019 J jnl
Neural Rule Grounding for Low-Resource Relation Extraction.
CoRR
Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren