Wangchunshu Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. | Siwei Wu, JinCheng Ren, Xeron Du, Shuyue Guo, Xingwei Qu, Yiming Liang, Jie Liu, Yunwen Li, Tyler Loakman, Tianyu Zheng, Boyu Feng, Huaqing Yuan, Zili Wang, Jiaheng Liu, Wenhao Huang, Chenglin Cai, Haoran Que, Jian Yang, Yuelin Bai, Zekun Moore Wang, Zhouliang Yu, Qunshu Lin, Ding Pan, Yuchen Eleanor Jiang, Tiannan Wang, Wangchunshu Zhou, Shenzhi Wang, Xingyuan Bu, Minghao Liu, Guoyin Wang, Ge Zhang, Chenghua Lin |
| 2025 | ACL | OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use. | Xueyu Hu, Tao Xiong, Biao Yi, Zishu Wei, Ruixuan Xiao, Yurun Chen, Jiasheng Ye, Meiling Tao, Xiangxin Zhou, Ziyu Zhao, Yuhuai Li, Shengze Xu, Shenzhi Wang, Xinchen Xu, Shuofei Qiao, Zhaokai Wang, Kun Kuang, Tieyong Zeng, Liang Wang, Jiwei Li, Yuchen Eleanor Jiang, Wangchunshu Zhou, Guoyin Wang, Keting Yin, Zhou Zhao, Hongxia Yang, Fan Wu, Shengyu Zhang, Fei Wu |
| 2025 | ACL | PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. | Zekun Moore Wang, Shenzhi Wang, King Zhu, Jiaheng Liu, Ke Xu, Jie Fu, Wangchunshu Zhou, Wenhao Huang |
| 2025 | EMNLP | MIO: A Foundation Model on Multimodal Tokens. | Zekun Moore Wang, King Zhu, Chunpu Xu, Wangchunshu Zhou, Jiaheng Liu, Yibo Zhang, Jessie Jiashuo Wang, Ning Shi, Siyu Li, Yizhi Li, Haoran Que, Zhaoxiang Zhang, Yuanxing Zhang, Ge Zhang, Ke Xu, Jie Fu, Wenhao Huang |
| 2025 | EMNLP | OAgents: An Empirical Study of Building Effective Agents. | He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Hanhao Li, Yi Yao, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Xiangru Tang, Jian Yang, Ge Zhang, Xitong Gao, Yuchen Eleanor Jiang, Changwang Zhang, Jun Wang, Jiaheng Liu, Wangchunshu Zhou |
| 2025 | ICLR | ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning. | Xiangru Tang, Tianyu Hu, Muyang Ye, Yanjun Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein |
| 2025 | ICML | M+: Extending MemoryLLM with Scalable Long-Term Memory. | Yu Wang, Dmitry Krotov, Yuanzhe Hu, Yifan Gao, Wangchunshu Zhou, Julian J. McAuley, Dan Gutfreund, Rogrio Feris, Zexue He |
| 2025 | SIGIR | Training-free Periodic Interest Augmentation in Incremental Recommendation. | Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang |
| 2024 | ACL | CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. | Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu |
| 2024 | ACL | AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. | Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen |
| 2024 | ACL | RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. | Noah Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng |
| 2024 | ACL | LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. | Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu |
| 2024 | COLING | SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. | Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin |
| 2024 | ECCV | How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. | Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie |
| 2024 | EMNLP | MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications. | Xiangru Tang, Chunyuan Deng, Hanming Wang, Haoran Wang, Yilun Zhao, Wenqi Shi, May Fung, Wangchunshu Zhou, Jiannan Cao, Heng Ji, Arman Cohan, Mark Gerstein |
| 2024 | EMNLP | PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. | Noah Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu |
| 2024 | ICML | OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. | Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You |
| 2024 | NAACL | Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? | Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein |
| 2023 | ACL | Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training. | Yan Zeng, Wangchunshu Zhou, Ao Luo, Ziming Cheng, Xinsong Zhang |
| 2023 | ACL | EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning. | Tiannan Wang, Wangchunshu Zhou, Yan Zeng, Xinsong Zhang |
| 2023 | ACL | Commonsense Knowledge Transfer for Pre-trained Language Models. | Wangchunshu Zhou, Ronan Le Bras, Yejin Choi |
| 2023 | ACL | Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference. | Wangchunshu Zhou, Ronan Le Bras, Yejin Choi |
| 2023 | ACL | Learning to Predict Persona Information for Dialogue Personalization without Explicit Persona Description. | Wangchunshu Zhou, Qifei Li, Chenle Li |
| 2023 | AIED | Automatic Educational Question Generation with Difficulty Level Controls. | Ying Jiao, Kumar Shridhar, Peng Cui, Wangchunshu Zhou, Mrinmaya Sachan |
| 2023 | EACL | Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference. | Vilm Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan |
| 2023 | EMNLP | Doolittle: Benchmarks and Corpora for Academic Writing Formalization. | Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang |
| 2023 | EMNLP | Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. | Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan |
| 2023 | EMNLP | Evaluating Large Language Models on Controlled Generation Tasks. | Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma |
| 2023 | EMNLP | Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models. | Ruida Wang, Wangchunshu Zhou, Mrinmaya Sachan |
| 2023 | ICLR | Write and Paint: Generative Vision-Language Models are Unified Modal Learners. | Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang |
| 2023 | ICML | Controlled Text Generation with Natural Language Instructions. | Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan |
| 2022 | ACL | Contextual Representation Learning beyond Masked Language Modeling. | Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li |
| 2022 | ACL | BERT Learns to Teach: Knowledge Distillation with Meta Learning. | Wangchunshu Zhou, Canwen Xu, Julian J. McAuley |
| 2022 | EMNLP | Efficiently Tuned Parameters Are Task Embeddings. | Wangchunshu Zhou, Canwen Xu, Julian J. McAuley |
| 2022 | ICML | VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training. | Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang |
| 2021 | ACL | Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training. | Wangchunshu Zhou, Qifei Li, Chenle Li |
| 2021 | EMNLP | Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. | Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei |
| 2021 | EMNLP | Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. | Wangchunshu Zhou, Tao Ge, Canwen Xu, Ke Xu, Furu Wei |
| 2021 | ICLR | Pre-training Text-to-Text Transformers for Concept-centric Common Sense. | Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren |
| 2021 | NAACL | Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. | Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei |
| 2020 | AAAI | Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models. | Wangchunshu Zhou, Ke Xu |
| 2020 | COLING | Connecting the Dots Between Fact Verification and Fake News Detection. | Qifei Li, Wangchunshu Zhou |
| 2020 | EMNLP | CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. | Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren |
| 2020 | EMNLP | BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. | Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou |
| 2020 | EMNLP | Pseudo-Bidirectional Decoding for Local Sequence Transduction. | Wangchunshu Zhou, Tao Ge, Ke Xu |
| 2020 | EMNLP | Improving Grammatical Error Correction with Machine Translation Pairs. | Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou |
| 2020 | EMNLP | Scheduled DropHead: A Regularization Method for Transformer Models. | Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou, Ke Xu |
| 2020 | ICLR | Self-Adversarial Learning with Comparative Discrimination for Text Generation. | Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou |
| 2019 | ACL | BERT-based Lexical Substitution. | Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou |