Jianing Wang - RankMe

45 papers A* 7A 1B 1Journal 21Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience. CoRR Taofeng Xue, Chong Peng, Mianqiu Huang, Linsen Guo, Tiancheng Han, Haozhe Wang, Jianing Wang, Xiaocheng Zhang, Xin Yang, Dengchang Zhao, Jinrui Ding, Xiandi Ma, Yuchen Xie, Peng Pei, Xunliang Cai, Xipeng Qiu
2025	A*	`conf`	OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. ICLR 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
2025	J	`jnl`	ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. CoRR 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
2024	J	`jnl`	A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR 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
2024	—	`conf`	Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. ACL (1) Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao
2024	A*	`conf`	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. KDD Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024	J	`jnl`	CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley
2024	—	`conf`	InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. ACL (Findings) Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024	J	`jnl`	InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment. CoRR Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley
2024	—	`conf`	Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning. NAACL-HLT (Findings) Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao
2024	J	`jnl`	OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. CoRR 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
2024	B	`conf`	Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? IJCNN Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li
2024	—	`conf`	TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li
2023	J	`jnl`	Boosting In-Context Learning with Factual Knowledge. CoRR Jianing Wang, Chengyu Wang, Chuanqi Tan, Jun Huang, Ming Gao
2023	J	`jnl`	Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. CoRR Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao
2023	—	`conf`	Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. EMNLP (Findings) Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li
2023	A	`conf`	HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
2023	J	`jnl`	HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
2023	—	`conf`	ParaSum: Contrastive Paraphrasing for Low-Resource Extractive Text Summarization. KSEM (3) Moming Tang, Chengyu Wang, Jianing Wang, Cen Chen, Ming Gao, Weining Qian
2023	—	`conf`	Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. EMNLP (Findings) Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao
2023	A*	`conf`	Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation. EMNLP Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian, Yunshi Lan
2023	J	`jnl`	Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation. CoRR Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian, Yunshi Lan
2023	J	`jnl`	TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. CoRR Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao
2023	J	`jnl`	TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification. CoRR Jianing Wang, Chengyu Wang, Cen Chen, Ming Gao, Jun Huang, Aoying Zhou
2023	—	`conf`	UKT: A Unified Knowledgeable Tuning Framework for Chinese Information Extraction. NLPCC (2) Jiyong Zhou, Chengyu Wang, Junbing Yan, Jianing Wang, Yukang Xie, Jun Huang, Ying Gao
2023	A*	`conf`	Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling. AAAI Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
2023	—	`conf`	Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023	J	`jnl`	Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023	J	`jnl`	Uncertainty-aware Self-training for Low-resource Neural Sequence Labeling. CoRR Jianing Wang, Chengyu Wang, Jun Huang, Ming Gao, Aoying Zhou
2023	—	`conf`	When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. ACL (Findings) Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2023	J	`jnl`	When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. CoRR Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2023	—	`conf`	XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding. ACL (Findings) Moming Tang, Chengyu Wang, Jianing Wang, Chuanqi Tan, Songfang Huang, Cen Chen, Weining Qian
2022	—	`conf`	EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. EMNLP (Demos) Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin
2022	J	`jnl`	EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing. CoRR Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin
2022	A*	`conf`	KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. EMNLP Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
2022	J	`jnl`	KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering. CoRR Jianing Wang, Chengyu Wang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Jun Huang, Ming Gao
2022	A*	`conf`	Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. EMNLP Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao
2022	J	`jnl`	Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. CoRR Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao
2022	—	`conf`	Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. EMNLP (Industry Track) Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He
2022	J	`jnl`	Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training. CoRR Taolin Zhang, Junwei Dong, Jianing Wang, Chengyu Wang, Ang Wang, Yinghui Liu, Jun Huang, Yong Li, Xiaofeng He
2022	A*	`conf`	SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. EMNLP Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
2022	J	`jnl`	SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition. CoRR Jianing Wang, Chengyu Wang, Chuanqi Tan, Minghui Qiu, Songfang Huang, Jun Huang, Ming Gao
2022	—	`conf`	Towards Unified Prompt Tuning for Few-shot Text Classification. EMNLP (Findings) Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao
2022	J	`jnl`	Towards Unified Prompt Tuning for Few-shot Text Classification. CoRR Jianing Wang, Chengyu Wang, Fuli Luo, Chuanqi Tan, Minghui Qiu, Fei Yang, Qiuhui Shi, Songfang Huang, Ming Gao
2021	—	`conf`	TransPrompt: Towards an Automatic Transferable Prompting Framework for Few-shot Text Classification. EMNLP (1) Chengyu Wang, Jianing Wang, Minghui Qiu, Jun Huang, Ming Gao