Pengjun Xie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
77
Venues
14
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
77 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking. | Yuzheng Cai, Yanzhao Zhang, Dingkun Long, Mingxin Li, Pengjun Xie, Weiguo Zheng |
| 2026 | ACL | Towards General Agentic Intelligence via Environment Scaling. | Runnan Fang, Shihao Cai, Baixuan Li, Jialong Wu, Guangyu Li, Wenbiao Yin, Xinyu Wang, Xiaobin Wang, Liangcai Su, Zhen Zhang, Shibin Wu, Zhengwei Tao, Yong Jiang, Pengjun Xie, Ningyu Zhang, Fei Huang, Wentao Zhang, Jingren Zhou |
| 2026 | ACL | Memp: Exploring Agent Procedural Memory. | Runnan Fang, Yuan Liang, Xiaobin Wang, Jialong Wu, Shuofei Qiao, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2026 | ACL | Evidence-Augmented Policy Optimization with Reward Co-Evolution for Long-Context Reasoning. | Xin Guan, Zijian Li, Shen Huang, Pengjun Xie, Jingren Zhou, Jiuxin Cao |
| 2026 | ACL | Nested Browser-Use Learning for Agentic Information Seeking. | Baixuan Li, Jialong Wu, Wenbiao Yin, Kuan Li, Zhongwang Zhang, Huifeng Yin, Zhengwei Tao, Liwen Zhang, Pengjun Xie, Jingren Zhou, Yong Jiang, Wentao Zhang, Zhiqiang Gao |
| 2026 | ACL | BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents. | Litu Ou, Kuan Li, Huifeng Yin, Liwen Zhang, Zhongwang Zhang, Xixi Wu, Rui Ye, Zile Qiao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou |
| 2026 | ACL | Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing. | Tingyu Song, Yanzhao Zhang, Mingxin Li, Zhuoning Guo, Dingkun Long, Pengjun Xie, Siyue Zhang, Yilun Zhao, Shu Wu |
| 2026 | ACL | U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents. | Jin Su, Runnan Fang, Yeqiu Li, Xiaobin Wang, Shihao Cai, Pengjun Xie, Ningyu Zhang, Fajie Yuan |
| 2026 | ACL | WebAnchor: Anchoring Agent Planning to Stabilize Long-Horizon Web Reasoning. | Xinmiao Yu, Liwen Zhang, Xiaocheng Feng, Pengjun Xie, Jingren Zhou, Bing Qin, Yong Jiang |
| 2026 | SIGIR | Internalizing Explicit Reasoning into Latent Space for Dense Retrieval. | Jiajie Jin, Yanzhao Zhang, Mingxin Li, Dingkun Long, Pengjun Xie, Yutao Zhu, Zhicheng Dou |
| 2025 | ACL | WebWalker: Benchmarking LLMs in Web Traversal. | Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang |
| 2025 | ACL | SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement. | Runnan Fang, Xiaobin Wang, Yuan Liang, Shuofei Qiao, Jialong Wu, Zekun Xi, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen |
| 2025 | ACL | Agentic Knowledgeable Self-awareness. | Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen |
| 2025 | ACL | Towards Text-Image Interleaved Retrieval. | Xin Zhang, Ziqi Dai, Yongqi Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Jun Yu, Wenjie Li, Min Zhang |
| 2025 | COLING | Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark. | Zhikun Xu, Yinghui Li, Ruixue Ding, Xinyu Wang, Boli Chen, Yong Jiang, Haitao Zheng, Wenlian Lu, Pengjun Xie, Fei Huang |
| 2025 | CVPR | Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models. | Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang |
| 2025 | EMNLP | Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference. | Zhuo Chen, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinyu Geng, Pengjun Xie, Fei Huang, Kewei Tu |
| 2025 | EMNLP | DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling. | Hao Sun, Zile Qiao, Bo Wang, Guoxin Chen, Yingyan Hou, Yong Jiang, Pengjun Xie, Fei Huang, Yan Zhang |
| 2025 | EMNLP | ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents. | Qiuchen Wang, Ruixue Ding, Zehui Chen, Weiqi Wu, Shihang Wang, Pengjun Xie, Feng Zhao |
| 2025 | EMNLP | OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking. | Zekun Xi, Wenbiao Yin, Jizhan Fang, Jialong Wu, Runnan Fang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2025 | EMNLP | ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions. | Jingheng Ye, Yong Jiang, Xiaobin Wang, Yinghui Li, Yangning Li, Pengjun Xie, Fei Huang |
| 2025 | EMNLP | KBM: Delineating Knowledge Boundary for Adaptive Retrieval in Large Language Models. | Zhen Zhang, Xinyu Wang, Yong Jiang, Zile Qiao, Zhuo Chen, Guangyu Li, Feiteng Mu, Mengting Hu, Pengjun Xie, Fei Huang |
| 2025 | EMNLP | EvolveSearch: An Iterative Self-Evolving Search Agent. | Dingchu Zhang, Yida Zhao, Jialong Wu, Liwen Zhang, Baixuan Li, Wenbiao Yin, Yong Jiang, Yu-Feng Li, Kewei Tu, Pengjun Xie, Fei Huang |
| 2025 | ICLR | Benchmarking Agentic Workflow Generation. | Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen |
| 2025 | ICML | LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs - No Silver Bullet for LC or RAG Routing. | Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng |
| 2025 | NAACL | Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling. | Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang |
| 2025 | NAACL | Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization. | Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao |
| 2024 | AAAI | Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. | Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu |
| 2024 | AAAI | EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. | Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | AAAI | SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. | Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | ACL | Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. | Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu |
| 2024 | ACL | A Two-Stage Adaptation of Large Language Models for Text Ranking. | Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang |
| 2024 | ADMA | GeoGLUE: A Chinese GeoGraphic Language Understanding Evaluation Benchmark. | Dongyang Li, Ruixue Ding, Qiang Zhang, Zheng Li, Boli Chen, Pengjun Xie, Yao Xu, Xin Li, Ning Guo, Fei Huang, Xiaofeng He |
| 2024 | COLING | Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training. | Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie, Min Zhang |
| 2024 | EACL | Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. | Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang |
| 2024 | EMNLP | Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process. | Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang |
| 2024 | EMNLP | RaFe: Ranking Feedback Improves Query Rewriting for RAG. | Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2024 | EMNLP | Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario. | Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li, Pengjun Xie, Fei Huang |
| 2024 | EMNLP | Retrieved In-Context Principles from Previous Mistakes. | Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang |
| 2024 | EMNLP | Knowledge Mechanisms in Large Language Models: A Survey and Perspective. | Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2024 | EMNLP | mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. | Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang |
| 2024 | NAACL | Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. | Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang |
| 2023 | AAAI | Adversarial Self-Attention for Language Understanding. | Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang |
| 2023 | ACL | Graph Propagation based Data Augmentation for Named Entity Recognition. | Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu |
| 2023 | ACL | Exploring Lottery Prompts for Pre-trained Language Models. | Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie |
| 2023 | ACL | Few-shot Classification with Hypersphere Modeling of Prototypes. | Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie |
| 2023 | ACL | MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. | Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang |
| 2023 | ACL | Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. | Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu |
| 2023 | ACL | Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. | Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu |
| 2023 | ACL | Do PLMs Know and Understand Ontological Knowledge? | Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu |
| 2023 | EACL | COMBO: A Complete Benchmark for Open KG Canonicalization. | Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu |
| 2023 | EMNLP | Text Representation Distillation via Information Bottleneck Principle. | Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie |
| 2023 | SIGIR | MGeo: Multi-Modal Geographic Language Model Pre-Training. | Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu |
| 2022 | ACL | Parallel Instance Query Network for Named Entity Recognition. | Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang |
| 2022 | COLING | Domain-Specific NER via Retrieving Correlated Samples. | Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang |
| 2022 | EMNLP | Prompt-learning for Fine-grained Entity Typing. | Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim |
| 2022 | EMNLP | Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. | Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu |
| 2022 | EMNLP | Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. | Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, Min Zhang |
| 2022 | EMNLP | Named Entity and Relation Extraction with Multi-Modal Retrieval. | Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu |
| 2022 | EMNLP | Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning. | Hongqiu Wu, Ruixue Ding, Hai Zhao, Boli Chen, Pengjun Xie, Fei Huang, Min Zhang |
| 2022 | ICASSP | AISHELL-NER: Named Entity Recognition from Chinese Speech. | Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang |
| 2022 | NAACL | Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting. | Linzhi Wu, Pengjun Xie, Jie Zhou, Meishan Zhang, Chunping Ma, Guangwei Xu, Min Zhang |
| 2022 | SIGIR | Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval. | Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing, Ping Yang |
| 2021 | AAAI | Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity. | Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si |
| 2021 | ACL | Counterfactual Inference for Text Classification Debiasing. | Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie |
| 2021 | ACL | Few-NERD: A Few-shot Named Entity Recognition Dataset. | Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu |
| 2021 | ACL | Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition. | Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie |
| 2021 | EMNLP | A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging. | Peijie Jiang, Dingkun Long, Yueheng Sun, Meishan Zhang, Guangwei Xu, Pengjun Xie |
| 2021 | ICLR | Probing BERT in Hyperbolic Spaces. | Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing |
| 2021 | ICLR | Prototypical Representation Learning for Relation Extraction. | Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang |
| 2020 | ACL | Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. | Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Haitao Zheng |
| 2020 | ACL | Hierarchy-Aware Global Model for Hierarchical Text Classification. | Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu |
| 2020 | IJCAI | Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling. | Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang |
| 2019 | ACL | A Neural Multi-digraph Model for Chinese NER with Gazetteers. | Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si |
| 2019 | NAACL | Better Modeling of Incomplete Annotations for Named Entity Recognition. | Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li |
| 2019 | NAACL | Neural Chinese Address Parsing. | Hao Li, Wei Lu, Pengjun Xie, Linlin Li |
| 2017 | IJCNLP | Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task. | Yi Yang, Pengjun Xie, Jun Tao, Guangwei Xu, Linlin Li, Si Luo |