Jianing Wang

According to our database, Jianing Wang authored at least 30 papers between 2020 and 2025.

Collaborative distances:

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

2025

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.

Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu

CoRR, May, 2025

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models.

Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.

Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu

CoRR, 2024

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.

Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rethinking the Role of Structural Information: How It Enhances Code Representation Learning?

Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li

Proceedings of the International Joint Conference on Neural Networks, 2024

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.

Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.

Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Boosting In-Context Learning with Factual Knowledge.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao

CoRR, 2023

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification.

Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou

CoRR, 2023

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao

CoRR, 2023

UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction.

Jiyong Zhou, Chengyu Wang, Junbing Yan, Jianing Wang, Yukang Xie, Jun Huang, Ying Gao

Proceedings of the Natural Language Processing and Chinese Computing, 2023

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization.

Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian

Proceedings of the Knowledge Science, Engineering and Management, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.

Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li

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

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation.

Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian, Yunshi Lan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.

Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao

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

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.

Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li

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

HugNLP: A Unified and Comprehensive Library for Natural Language Processing.

Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding.

Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian

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

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.

Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

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

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling.

Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training.

Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing.

Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin

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

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.

Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao

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

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition.

Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao

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

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering.

Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao

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

Towards Unified Prompt Tuning for Few-shot Text Classification.

Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification.

Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Improving Reinforcement Learning for Neural Relation Extraction with Hierarchical Memory Extractor.

Jia-ning Wang, Chong Su

CoRR, 2020