Bowen Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
79
Venues
26
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*ACL18 papers
- A*EMNLP17 papers
- BCOLING6 papers
- A*CHI4 papers
- A*AAAI3 papers
- A*ICML3 papers
- ANAACL3 papers
- A*SIGIR3 papers
- A*ICLR2 papers
- A*WWW2 papers
- A*IJCAI2 papers
- ACSCW2 papers
- BCOMPSAC1 paper
- AWSDM1 paper
- MulticonferenceICASSP1 paper
- A*OSDI1 paper
- BICPP1 paper
- AECAI1 paper
- BIJCNN1 paper
- BPAKDD1 paper
- A*SIGMOD1 paper
- ASC1 paper
- AUSENIX1 paper
- BWiOpt1 paper
- BPPoPP1 paper
- BTrustCom1 paper
Papers
79 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Renormalization Group Guided Tensor Network Structure Search. | Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao |
| 2026 | ACL | PLAWBENCH: A Rubric-Based Benchmark for Evaluating LLMs in Real-World Legal Practice. | Yuzhen Shi, Huanghai Liu, Yiran Hu, Gaojie Song, Xinran Xu, Yubo Ma, Tianyi Tang, Li Zhang, Qingjing Chen, Di Feng, Wenbo Lv, Weiheng Wu, Kexin Yang, Sen Yang, Wei Wang, Rongyao Shi, Yuanyang Qiu, Yuemeng Qi, Jingwen Zhang, Xiaoyu Sui, Yifan Chen, Yi Zhang, An Yang, Bowen Yu, Dayiheng Liu, Junyang Lin, Weixing Shen, Bing Zhao, Charles L. A. Clarke, Hu Wei |
| 2026 | ACL | On the Editability of Delta Parameters in Post-Trained Models. | Qiaoyu Tang, Le Yu, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun |
| 2026 | ACL | Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models. | Binghai Wang, Yantao Liu, Yuxuan Liu, Tianyi Tang, Shenzhi Wang, Chang Gao, Chujie Zheng, Yichang Zhang, Le Yu, Shixuan Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Bowen Yu, Fei Huang, Junyang Lin |
| 2025 | ACL | Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models. | Hao Xiang, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Ben He, Le Sun, Jingren Zhou, Junyang Lin |
| 2025 | ACL | The Lessons of Developing Process Reward Models in Mathematical Reasoning. | Zhenru Zhang, Chujie Zheng, Yangzhen Wu, Beichen Zhang, Runji Lin, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | ACL | ProcessBench: Identifying Process Errors in Mathematical Reasoning. | Chujie Zheng, Zhenru Zhang, Beichen Zhang, Runji Lin, Keming Lu, Bowen Yu, Dayiheng Liu, Jingren Zhou, Junyang Lin |
| 2025 | EMNLP | START: Self-taught Reasoner with Tools. | Chengpeng Li, Mingfeng Xue, Zhenru Zhang, Jiaxi Yang, Beichen Zhang, Bowen Yu, Binyuan Hui, Junyang Lin, Xiang Wang, Dayiheng Liu |
| 2025 | EMNLP | RMTBench: Benchmarking LLMs Through Multi-Turn User-Centric Role-Playing. | Hao Xiang, Tianyi Tang, Yang Su, Bowen Yu, An Yang, Fei Huang, Yichang Zhang, Yaojie Lu, Hongyu Lin, Xianpei Han, Jingren Zhou, Junyang Lin, Le Sun |
| 2025 | EMNLP | LongWeave: A Long-Form Generation Benchmark Bridging Real-World Relevance and Verifiability. | Zikai Xiao, Fei Huang, Jianhong Tu, Jianhui Wei, Wen Ma, Yuxuan Zhou, Jian Wu, Bowen Yu, Zuozhu Liu, Junyang Lin |
| 2025 | EMNLP | Rethinking Data Selection at Scale: Random Selection is Almost All You Need. | Tingyu Xia, Bowen Yu, Kai Dang, An Yang, Yuan Wu, Yuan Tian, Yi Chang, Junyang Lin |
| 2025 | EMNLP | P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs. | Yidan Zhang, Yu Wan, Boyi Deng, Baosong Yang, Haoran Wei, Fei Huang, Bowen Yu, Dayiheng Liu, Junyang Lin, Fei Huang, Jingren Zhou |
| 2025 | ICLR | Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. | Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2025 | ICML | MARGE: Improving Math Reasoning with Guided Exploration. | Jingyue Gao, Runji Lin, Keming Lu, Bowen Yu, Junyang Lin, Jianyu Chen |
| 2025 | ICML | Efficient Long Context Fine-tuning with Chunk Flow. | Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin |
| 2025 | NAACL | Transferable Post-training via Inverse Value Learning. | Xinyu Lu, Xueru Wen, Yaojie Lu, Bowen Yu, Hongyu Lin, Haiyang Yu, Le Sun, Xianpei Han, Yongbin Li |
| 2024 | AAAI | Preference Ranking Optimization for Human Alignment. | Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang |
| 2024 | ACL | SoFA: Shielded On-the-fly Alignment via Priority Rule Following. | Xinyu Lu, Bowen Yu, Yaojie Lu, Hongyu Lin, Haiyang Yu, Le Sun, Xianpei Han, Yongbin Li |
| 2024 | ACL | Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. | Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ACL | Language Models can Evaluate Themselves via Probability Discrepancy. | Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou |
| 2024 | COLING | Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment. | Feifan Song, Bowen Yu, Hao Lang, Haiyang Yu, Fei Huang, Houfeng Wang, Yongbin Li |
| 2024 | COLING | Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment. | Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Minghao Li, Fei Huang, Nevin L. Zhang, Yongbin Li |
| 2024 | COMPSAC | Multi-Objective Test Case Generation for Web Applications with Limited Resources. | Junxia Guo, Bowen Yu, Li Liu, Weiwei Wang |
| 2024 | EMNLP | Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. | Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | ICML | Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch. | Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li |
| 2024 | NAACL | TRUE-UIE: Two Universal Relations Unify Information Extraction Tasks. | Yucheng Wang, Bowen Yu, Yilin Liu, Shudong Lu |
| 2023 | ACL | Unified Language Representation for Question Answering over Text, Tables, and Images. | Bowen Yu, Cheng Fu, Haiyang Yu, Fei Huang, Yongbin Li |
| 2023 | ACL | Universal Information Extraction with Meta-Pretrained Self-Retrieval. | Xin Cong, Bowen Yu, Mengcheng Fang, Tingwen Liu, Haiyang Yu, Zhongkai Hu, Fei Huang, Yongbin Li, Bin Wang |
| 2023 | ACL | Domain Incremental Lifelong Learning in an Open World. | Yi Dai, Hao Lang, Yinhe Zheng, Bowen Yu, Fei Huang, Yongbin Li |
| 2023 | EMNLP | Diversify Question Generation with Retrieval-Augmented Style Transfer. | Qi Gou, Zehua Xia, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Cam-Tu Nguyen |
| 2023 | EMNLP | API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs. | Minghao Li, Yingxiu Zhao, Bowen Yu, Feifan Song, Hangyu Li, Haiyang Yu, Zhoujun Li, Fei Huang, Yongbin Li |
| 2023 | EMNLP | Improving Question Generation with Multi-level Content Planning. | Zehua Xia, Qi Gou, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Cam-Tu Nguyen |
| 2023 | EMNLP | Causal Document-Grounded Dialogue Pre-training. | Yingxiu Zhao, Bowen Yu, Bowen Li, Haiyang Yu, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang |
| 2023 | ICLR | Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics. | Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern |
| 2023 | WWW | Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. | Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo |
| 2023 | SIGIR | Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. | Xinghua Zhang, Bowen Yu, Jiangxia Cao, Quangang Li, Xuebin Wang, Tingwen Liu, Hongbo Xu |
| 2023 | WSDM | Towards Universal Cross-Domain Recommendation. | Jiangxia Cao, Shaoshuai Li, Bowen Yu, Xiaobo Guo, Tingwen Liu, Bin Wang |
| 2022 | ACL | Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. | Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu |
| 2022 | EMNLP | Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence. | Mengxiao Song, Bowen Yu, Quangang Li, Yubin Wang, Tingwen Liu, Hongbo Xu |
| 2022 | EMNLP | Semi-Supervised Lifelong Language Learning. | Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Yongbin Li, Nevin L. Zhang |
| 2022 | ICASSP | Document-Level Event Extraction via Human-Like Reading Process. | Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi |
| 2022 | IJCAI | A Survey on Neural Open Information Extraction: Current Status and Future Directions. | Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun |
| 2022 | OSDI | TriCache: A User-Transparent Block Cache Enabling High-Performance Out-of-Core Processing with In-Memory Programs. | Guanyu Feng, Huanqi Cao, Xiaowei Zhu, Bowen Yu, Yuanwei Wang, Zixuan Ma, Shengqi Chen, Wenguang Chen |
| 2022 | SIGIR | Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. | Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu |
| 2022 | SIGIR | Relation-Guided Few-Shot Relational Triple Extraction. | Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang |
| 2021 | ACL | Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. | Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, Bin Wang |
| 2021 | ACL | CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. | Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2021 | ACL | Discontinuous Named Entity Recognition as Maximal Clique Discovery. | Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu, Limin Sun |
| 2021 | ACL | From What to Why: Improving Relation Extraction with Rationale Graph. | Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Mengge Xue, Tingwen Liu, Li Guo |
| 2021 | EMNLP | Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. | Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu |
| 2021 | EMNLP | Maximal Clique Based Non-Autoregressive Open Information Extraction. | Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, Bin Wang |
| 2021 | EMNLP | Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning. | Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu |
| 2021 | ICPP | Sparker: Efficient Reduction for More Scalable Machine Learning with Spark. | Bowen Yu, Huanqi Cao, Tianyi Shan, Haojie Wang, Xiongchao Tang, Wenguang Chen |
| 2021 | NAACL | FITAnnotator: A Flexible and Intelligent Text Annotation System. | Yanzeng Li, Bowen Yu, Quangang Li, Tingwen Liu |
| 2021 | WWW | Semi-Open Information Extraction. | Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang |
| 2020 | AAAI | Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction. | Zhenyu Zhang, Xiaobo Shu, Bowen Yu, Tingwen Liu, Jiapeng Zhao, Quangang Li, Li Guo |
| 2020 | ACL | Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention. | Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu |
| 2020 | CHI | Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems. | C. Estelle Smith, Bowen Yu, Anjali Srivastava, Aaron Halfaker, Loren Terveen, Haiyi Zhu |
| 2020 | COLING | TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. | Yucheng Wang, Bowen Yu, Yueyang Zhang, Tingwen Liu, Hongsong Zhu, Limin Sun |
| 2020 | COLING | Porous Lattice Transformer Encoder for Chinese NER. | Mengge Xue, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang |
| 2020 | COLING | Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction. | Bowen Yu, Mengge Xue, Zhenyu Zhang, Tingwen Liu, Yubin Wang, Bin Wang |
| 2020 | COLING | Document-level Relation Extraction with Dual-tier Heterogeneous Graph. | Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Yubin Wang, Li Guo |
| 2020 | ECAI | Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. | Bowen Yu, Zhenyu Zhang, Xiaobo Shu, Tingwen Liu, Yubin Wang, Bin Wang, Sujian Li |
| 2020 | EMNLP | Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation. | Shiyao Cui, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Xuebin Wang, Jinqiao Shi |
| 2020 | EMNLP | Coarse-to-Fine Pre-training for Named Entity Recognition. | Mengge Xue, Bowen Yu, Zhenyu Zhang, Tingwen Liu, Yue Zhang, Bin Wang |
| 2020 | IJCNN | DRG2vec: Learning Word Representations from Definition Relational Graph. | Xiaobo Shu, Bowen Yu, Zhenyu Zhang, Tingwen Liu |
| 2020 | PAKDD | Strong Baselines for Author Name Disambiguation with and Without Neural Networks. | Zhenyu Zhang, Bowen Yu, Tingwen Liu, Dong Wang |
| 2019 | CHI | Understanding Social Costs in Online Question Asking. | Haiwei Ma, Bowen Yu, Hao Fei Cheng, Haiyi Zhu |
| 2019 | IJCAI | Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. | Bowen Yu, Zhenyu Zhang, Tingwen Liu, Bin Wang, Sujian Li, Quangang Li |
| 2019 | SIGMOD | Visus: An Interactive System for Automatic Machine Learning Model Building and Curation. | Acio S. R. Santos, Sonia Castelo, Cristian Felix, Jorge Piazentin Ono, Bowen Yu, Sungsoo Ray Hong, Cludio T. Silva, Enrico Bertini, Juliana Freire |
| 2018 | CHI | Content is King, Leadership Lags: Effects of Prior Experience on Newcomer Retention and Productivity in Online Production Groups. | Raghav Pavan Karumur, Bowen Yu, Haiyi Zhu, Joseph A. Konstan |
| 2018 | SC | ShenTu: processing multi-trillion edge graphs on millions of cores in seconds. | Heng Lin, Xiaowei Zhu, Bowen Yu, Xiongchao Tang, Wei Xue, Wenguang Chen, Lufei Zhang, Torsten Hoefler, Xiaosong Ma, Xin Liu, Weimin Zheng, Jingfang Xu |
| 2018 | USENIX | Spindle: Informed Memory Access Monitoring. | Haojie Wang, Jidong Zhai, Xiongchao Tang, Bowen Yu, Xiaosong Ma, Wenguang Chen |
| 2018 | WiOpt | Energy efficient scheduling for IoT applications with offloading, user association and BS sleeping in ultra dense networks. | Bowen Yu, Lingjun Pu, Qinyi Xie, Jingdong Xu |
| 2017 | CHI | Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop. | Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrs Monroy-Hernndez |
| 2017 | CSCW | Problematizing and Addressing the Article-as-Concept Assumption in Wikipedia. | Yilun Lin, Bowen Yu, Andrew Hall, Brent J. Hecht |
| 2017 | CSCW | Predicting Member Productivity and Withdrawal from Pre-Joining Attachments in Online Production Groups. | Bowen Yu, Yuqing Ren, Loren G. Terveen, Haiyi Zhu |
| 2017 | PPoPP | Self-Checkpoint: An In-Memory Checkpoint Method Using Less Space and Its Practice on Fault-Tolerant HPL. | Xiongchao Tang, Jidong Zhai, Bowen Yu, Wenguang Chen, Weimin Zheng |
| 2016 | TrustCom | Automatic Mobile Application Traffic Identification by Convolutional Neural Networks. | Zhengyang Chen, Bowen Yu, Yu Zhang, Jianzhong Zhang, Jingdong Xu |