Qingru Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
4
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. | Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang |
| 2024 | ICLR | Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. | Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao |
| 2023 | EMNLP | Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer. | Qingru Zhang, Dhananjay Ram, Cole Hawkins, Sheng Zha, Tuo Zhao |
| 2023 | ICLR | Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning. | Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao |
| 2023 | ICML | Less is More: Task-aware Layer-wise Distillation for Language Model Compression. | Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao |
| 2023 | ICML | LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation. | Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao |
| 2022 | ICML | PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. | Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao |
| 2022 | NAACL | MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. | Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen |
| 2019 | ICLR | AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. | Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu |