Rongzhi Zhang - RankMe

39 papers A* 4A 1Journal 23Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning. CoRR Weiqi Wang, Xin Liu, Binxuan Huang, Hejie Cui, Rongzhi Zhang, Changlong Yu, Shuowei Jin, Jingfeng Yang, Qingyu Yin, Zhengyang Wang, Zheng Li, Yifan Gao, Priyanka Nigam, Bing Yin, Lihong Li, Yangqiu Song
2025	—	`conf`	DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. EMNLP (Findings) Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang
2025	—	`conf`	Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. NAACL (Long Papers) Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2025	J	`jnl`	Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. CoRR Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2025	J	`jnl`	Instant Personalized Large Language Model Adaptation via Hypernetwork. CoRR Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang
2025	J	`jnl`	MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering. CoRR Rushi Qiang, Yuchen Zhuang, Yinghao Li, Dingu Sagar V. K, Rongzhi Zhang, Changhao Li, Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai
2025	J	`jnl`	Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing. CoRR Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
2025	J	`jnl`	Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only. CoRR Qingru Zhang, Liang Qiu, Ilgee Hong, Zhenghao Xu, Tianyi Liu, Shiyang Li, Rongzhi Zhang, Zheng Li, Lihong Li, Bing Yin, Chao Zhang, Jianshu Chen, Haoming Jiang, Tuo Zhao
2024	A*	`conf`	Aligning Large Language Models with Representation Editing: A Control Perspective. NeurIPS Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
2024	J	`jnl`	Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
2024	A*	`conf`	Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2024	J	`jnl`	LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy. CoRR Rongzhi Zhang, Kuang Wang, Liyuan Liu, Shuohang Wang, Hao Cheng, Chao Zhang, Yelong Shen
2024	—	`conf`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	J	`jnl`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	—	`conf`	ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. ACL (Findings) Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang
2024	J	`jnl`	ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. CoRR Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang
2024	J	`jnl`	TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. CoRR Haorui Wang, Rongzhi Zhang, Yinghao Li, Lingkai Kong, Yuchen Zhuang, Xiusi Chen, Chao Zhang
2023	—	`conf`	Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. ACL (1) Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2023	J	`jnl`	Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2023	A*	`conf`	Local Boosting for Weakly-Supervised Learning. KDD Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
2023	J	`jnl`	Local Boosting for Weakly-Supervised Learning. CoRR Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
2023	—	`conf`	ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. ACL (Findings) Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023	J	`jnl`	ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. CoRR Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2022	—	`conf`	AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. NAACL-HLT Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2022	A*	`conf`	Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. KDD Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang
2022	J	`jnl`	Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. CoRR Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang
2022	J	`jnl`	Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. CoRR Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2022	J	`jnl`	PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. CoRR Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
2022	—	`conf`	Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. ACL (1) Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
2021	J	`jnl`	ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. CoRR Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2021	J	`jnl`	Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse Graph. CoRR Yifei Zhao, Mingdong Ou, Rongzhi Zhang, Meng Li
2021	J	`jnl`	Knowledge-enhanced Session-based Recommendation with Temporal Transformer. CoRR Rongzhi Zhang, Yulong Gu, Xiaoyu Shen, Hui Su
2020	—	`conf`	Robust Sequence Embedding for Recommendation. KSEM (2) Rongzhi Zhang, Shuzi Niu, Yucheng Li
2020	—	`conf`	SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. EMNLP (1) Rongzhi Zhang, Yue Yu, Chao Zhang
2020	J	`jnl`	SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. CoRR Rongzhi Zhang, Yue Yu, Chao Zhang
2019	—	`conf`	Improving Multi-turn Dialogue Modelling with Utterance ReWriter. ACL (1) Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou
2019	J	`jnl`	Improving Multi-turn Dialogue Modelling with Utterance ReWriter. CoRR Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou
2017	A	`conf`	Collaborative Sequence Prediction for Sequential Recommender. CIKM Shuzi Niu, Rongzhi Zhang
2013	J	`jnl`	PMTED: a plant microRNA target expression database. BMC Bioinform. Xiuli Sun, Boquan Dong, Lingjie Yin, Rongzhi Zhang, Wei Du, Dongfeng Liu, Nan Shi, Aili Li, Yanchun Liang, Long Mao