Publications
This page shows all accepted papers. Click here to see all (under-reviewing) preprints. † means the same contribution.
2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning [pdf][bib]
Jianing Wang, Jin Jiang, Yang Liu, Mengdi Zhang, Xunliang Cai
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025, Findings Paper)Do Large Language Models Excel in Complex Logical Reasoning with Formal Language? [pdf][bib]
Jin Jiang, Jianing Wang, Yuchen Yan, Yang Liu, Jianhua Zhu, Mengdi Zhang, Xunliang Cai, Liangcai Gao:
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025, Main Paper)Logicpro: Improving complex logical reasoning via program-guided learning [pdf][bib]
Jin Jiang, Yuchen Yan, Yang Liu, Jianing Wang, Shuai Peng, Xunliang Cai, Yixin Cao, Mengdi Zhang, Liangcai Gao
The 63nd Annual Meeting of the Association for Computational Linguistics (ACL 2025, Main Paper)The Role of Visual Modality in Multimodal Mathematical Reasoning: Challenges and Insights [pdf][bib]
Yufang Liu, Yao Du, Tao Ji, Jianing Wang, Yang Liu, Yuanbin Wu, Aimin Zhou, Mengdi Zhang, Xunliang Cai
The 63nd Annual Meeting of the Association for Computational Linguistics (ACL 2025, Main Paper)OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models [pdf][bib]
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
The Thirteenth International Conference on Learning Representations (ICLR 2025)
2024
Self-Evolutionary Large Language Models through Uncertainty-Enhanced Preference Optimization [pdf][bib]
Jianing Wang, Yang Zhou, Xiaocheng Zhang, Mengjiao Bao, Peng Yan
Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2025, Long Paper)CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation [pdf][bib]
Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian McAuley
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024, Long Paper)Boosting language models reasoning with chain-of-knowledge prompting [pdf][bib]
Jianing Wang†, Qiushi Sun†, Xiang Li, Ming Gao
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, Main Paper)InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment [pdf][bib]
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024, Findings Paper)Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning [pdf][bib]
Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024, Findings Paper)TransCoder: Towards unified transferable code representation learning inspired by human skills [pdf][bib]
Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao
The 2024 Joint International Conference On Computation Linguistics, Language Resources And Evaluation (COLING 2024, Main Paper)
2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding [pdf][bib]
Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Xiang Li, Ming Gao, Jun Huang
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, Findings Paper)Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation [pdf][bib]
Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Yunshi Lan, Weining Qian
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, Main Paper)Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning
Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, Findings Paper)Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation
Nuo Chen, Qiushi Sun, Jianing Wang, Xiaoli Li, Xiang Li, Ming Gao
The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023, Findings Paper)HugNLP: A Unified and Comprehensive Library for Natural Language Processing [pdf][bib]
Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao.
32nd ACM International Conference on Information and Knowledge Management (CIKM 2023, Demo Paper, Best Demo Paper Award)ParaSum: Contrastive Paraphrasing for Low-resource Extractive Text Summarization [pdf][bib]
Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao and Weining Qian
The 16th International Conference on Knowledge Science, Engineering and Management (KSEM 2023, Full Paper)UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction
Jiyong Zhou, Chengyu Wang, Junbing Yan, Jianing Wang, Yukang Xie, jun huang and Ying Gao
The 12th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2023, Full Paper)XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding [pdf][bib]
Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen CHEN and Weining Qian
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, Findings Paper)When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario [pdf][bib]
Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li and Ming Gao
The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023, Findings Paper)Uncertainty-aware Self-training for Neural Sequence Labeling [pdf][bib]
Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou.
The 37th AAAI Conference on Artificial Intelligence (AAAI 2023, Full Paper)
2022
- Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding [pdf][bib]
Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Main Paper)
- KECP: Knowledge-Enhanced Contrastive Prompting for Few-shot Extractive Question Answering [pdf][bib]
Jianing Wang†, Chengyu Wang†, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Main Paper)
- SpanProto: A Two-stage Span-based Prototypical Network For Few-shot Named Entity Recognition [pdf][bib]
Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Main Paper)
- Towards Unified Prompt Tuning for Few-shot Text Classification [pdf][bib]
Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Findings Paper)
- Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training [pdf][bib]
Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Industry Track Paper)
- EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing [pdf][bib]
Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022, Demo Paper)