Yong Jiang

According to our database, Yong Jiang authored at least 25 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DynamicBench: Evaluating Real-Time Report Generation in Large Language Models.

Jingyao Li, Hao Sun, Zile Qiao, Yong Jiang, Pengjun Xie, Fei Huang, Hong Xu, Jiaya Jia

CoRR, June, 2025

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability.

Weiqi Wu, Xin Guan, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Jiuxin Cao, Hai Zhao, Jingren Zhou

CoRR, May, 2025

ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Hao Sun, Zile Qiao, Jiayan Guo, Xuanbo Fan, Yingyan Hou, Yong Jiang, Pengjun Xie, Yan Zhang, Fei Huang, Jingren Zhou

CoRR, May, 2025

AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs.

Zihao Zeng, Chubo Liu, Xin He, Juan Hu, Yong Jiang, Fei Huang, Kenli Li, Wei Yang Bryan Lim

CoRR, March, 2025

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

CoRR, February, 2025

Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization.

Weiqi Wu, Shen Huang, Yong Jiang, Pengjun Xie, Fei Huang, Hai Zhao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

STORM: A Spatio-Temporal Factor Model Based on Dual Vector Quantized Variational Autoencoders for Financial Trading.

Yilei Zhao, Wentao Zhang, Tingran Yang, Yong Jiang, Fei Huang, Wei Yang Bryan Lim

CoRR, 2024

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

CoRR, 2024

Model-Agnostic Knowledge Distillation Between Heterogeneous Models.

Jiaxin Shen, Yanyao Liu, Yong Jiang, Yufeng Chen, Wenjuan Han

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning.

Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Retrieved In-Context Principles from Previous Mistakes.

Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Zero-Shot Information Extraction via Chatting with ChatGPT.

Xiang Wei, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang, Yong Jiang, Wenjuan Han

CoRR, 2023

COMBO: A Complete Benchmark for Open KG Canonicalization.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Do PLMs Know and Understand Ontological Knowledge?

Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Graph Propagation based Data Augmentation for Named Entity Recognition.

Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

CoRR, 2022

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking.

Shen Huang, Yuchen Zhai, Xinwei Long, Yong Jiang, Xiaobin Wang, Yin Zhang, Pengjun Xie

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Domain-Specific NER via Retrieving Correlated Samples.

Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2010

An 0(1.414ⁿ) volume molecular solution for the 0-1 knapsack problem on DNA-based supercomputing.

Yong Jiang, Kenli Li, Zhishui Zhong, Goodman Makojoa

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010