Improving Reinforcement Learning for Neural Relation Extraction with Hierarchical Memory Extractor. - Jia-ning Wang 002; Chong Su (CoRR, 2020)

TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. - Chengyu Wang 001; Jianing Wang 002; Minghui Qiu; Jun Huang 007; Ming Gao 001 (EMNLP (1), 2021)

Towards Unified Prompt Tuning for Few-shot Text Classification. - Jianing Wang 002; Chengyu Wang 001; Fuli Luo; Chuanqi Tan; Minghui Qiu; Fei Yang; Qiuhui Shi; Songfang Huang; Ming Gao 001 (EMNLP (Findings), 2022)

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. - Jianing Wang 002; Chengyu Wang 001; Minghui Qiu; Qiuhui Shi; Hongbin Wang; Jun Huang 007; Ming Gao 001 (EMNLP, 2022)

SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. - Jianing Wang 002; Chengyu Wang 001; Chuanqi Tan; Minghui Qiu; Songfang Huang; Jun Huang 007; Ming Gao 001 (EMNLP, 2022)

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. - Jianing Wang 002; Wenkang Huang; Minghui Qiu; Qiuhui Shi; Hongbin Wang; Xiang Li 067; Ming Gao 001 (EMNLP, 2022)

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. - Chengyu Wang 001; Minghui Qiu; Taolin Zhang 001; Tingting Liu; Lei Li 043; Jianing Wang 002; Ming Wang; Jun Huang 007; Wei Lin 016 (EMNLP (Demos), 2022)

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. - Taolin Zhang 001; Junwei Dong; Jianing Wang 002; Chengyu Wang 001; Ang Wang; Yinghui Liu; Jun Huang 007; Yong Li 020; Xiaofeng He (EMNLP (Industry Track), 2022)

Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. - Jianing Wang 002; Chengyu Wang 001; Jun Huang 007; Ming Gao 001; Aoying Zhou (AAAI, 2023)

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. - Chengcheng Han 004; Liqing Cui; Renyu Zhu; Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (Findings), 2023)

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. - Moming Tang; Chengyu Wang 001; Jianing Wang 002; Chuanqi Tan; Songfang Huang; Cen Chen 001; Weining Qian (ACL (Findings), 2023)

HugNLP: A Unified and Comprehensive Library for Natural Language Processing. - Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Wenkang Huang; Chengyu Wang 001; Ming Gao 001 (CIKM, 2023)

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Ming Gao 001; Xiaoli Li 001; Xiang Li 067 (EMNLP (Findings), 2023)

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Xiang Li 067; Ming Gao 001 (EMNLP (Findings), 2023)

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation. - Yuanyuan Liang; Jianing Wang 002; Hanlun Zhu; Lei Wang; Weining Qian; Yunshi Lan (EMNLP, 2023)

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Chengyu Wang 001; Jun Huang 007; Ming Gao 001; Xiang Li 067 (EMNLP (Findings), 2023)

ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. - Moming Tang; Chengyu Wang 001; Jianing Wang 002; Cen Chen 001; Ming Gao 001; Weining Qian (KSEM (3), 2023)

UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction. - Jiyong Zhou; Chengyu Wang 001; Junbing Yan; Jianing Wang 002; Yukang Xie; Jun Huang 007; Ying Gao 004 (NLPCC (2), 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. - Jianing Wang 002; Chengyu Wang 001; Cen Chen 001; Ming Gao 001; Jun Huang 007; Aoying Zhou (CoRR, 2023)

Boosting In-Context Learning with Factual Knowledge. - Jianing Wang 002; Chengyu Wang 001; Chuanqi Tan; Jun Huang 007; Ming Gao 001 (CoRR, 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (1), 2024)

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. - Jianing Wang 002; Junda Wu; Yupeng Hou; Yao Liu 017; Ming Gao 001; Julian J. McAuley (ACL (Findings), 2024)

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Ming Gao 001; Xiang Li 067 (LREC/COLING, 2024)

Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Xiaoli Li 001 (IJCNN, 2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. - Junda Wu; Cheng-Chun Chang; Tong Yu 001; Zhankui He; Jianing Wang 002; Yupeng Hou; Julian J. McAuley (KDD, 2024)

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. - Jianing Wang 002; Chengyu Wang 001; Chuanqi Tan; Jun Huang 007; Ming Gao 001 (NAACL-HLT (Findings), 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 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan 018; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. - Junda Wu; Xintong Li 001; Ruoyu Wang 038; Yu Xia 007; Yuxin Xiong; Jianing Wang 002; Tong Yu 001; Xiang Chen; Branislav Kveton; Lina Yao 001; Jingbo Shang; Julian J. McAuley (ICLR, 2025)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)