Jian Jiao - RankMe

71 papers A* 19A 3B 1Journal 35Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Graph Regularized Encoder Training for Extreme Classification. WWW (Companion Volume) Anshul Mittal, Shikhar Mohan, Deepak Saini, Siddarth Asokan, Suchith Chidananda Prabhu, Lakshya Kumar, Pankaj Malhotra, Jian Jiao, Amit Singh, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2025	A*	`conf`	Integrative Decoding: Improving Factuality via Implicit Self-consistency. ICLR Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong
2025	A*	`conf`	MOGIC: Metadata-infused Oracle Guidance for Improved Extreme Classification. ICML Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
2025	—	`conf`	On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. KDD (1) Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2025	—	`conf`	Scaling the Vocabulary of Non-autoregressive Models for Fast Generative Retrieval. KDD (1) Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha
2025	J	`jnl`	Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. CoRR Zhenghao Lin, Zihao Tang, Xiao Liu, Yeyun Gong, Yi Cheng, Qi Chen, Hang Li, Ying Xin, Ziyue Yang, Kailai Yang, Yu Yan, Xiao Liang, Shuai Lu, Yiming Huang, Zheheng Luo, Lei Qu, Xuan Feng, Yaoxiang Wang, Yuqing Xia, Feiyang Chen, Yuting Jiang, Yasen Hu, Hao Ni, Binyang Li, Guoshuai Zhao, Jui-Hao Chiang, Zhongxin Guo, Chen Lin, Kun Kuang, Wenjie Li, Yelong Shen, Jian Jiao, Peng Cheng, Mao Yang
2025	—	`conf`	Task Facet Learning: A Structured Approach To Prompt Optimization. ACL (Findings) Gurusha Juneja, Gautam Jajoo, Hua Li, Jian Jiao, Nagarajan Natarajan, Amit Sharma
2025	J	`jnl`	Training Matryoshka Mixture-of-Experts for Elastic Inference-Time Expert Utilization. CoRR Yaoxiang Wang, Qingguo Hu, Yucheng Ding, Ruizhe Wang, Yeyun Gong, Jian Jiao, Yelong Shen, Peng Cheng, Jinsong Su
2024	—	`conf`	AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. NAACL (Industry Track) Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen
2024	J	`jnl`	CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks. CoRR Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma
2024	A*	`conf`	Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. ICLR Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
2024	A*	`conf`	Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval. KDD Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma
2024	J	`jnl`	Graph Regularized Encoder Training for Extreme Classification. CoRR Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma
2024	J	`jnl`	Integrative Decoding: Improve Factuality via Implicit Self-consistency. CoRR Yi Cheng, Xiao Liang, Yeyun Gong, Wen Xiao, Song Wang, Yuji Zhang, Wenjun Hou, Kaishuai Xu, Wenge Liu, Wenjie Li, Jian Jiao, Qi Chen, Peng Cheng, Wayne Xiong
2024	A*	`conf`	Not All Tokens Are What You Need for Pretraining. NeurIPS Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
2024	A*	`conf`	OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification. ICML Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma
2024	J	`jnl`	On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification. CoRR Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma
2024	A*	`conf`	Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning. KDD Amit Sharma, Hua Li, Xue Li, Jian Jiao
2024	J	`jnl`	Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning. CoRR Amit Sharma, Hua Li, Xue Li, Jian Jiao
2024	J	`jnl`	Rho-1: Not All Tokens Are What You Need. CoRR Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
2024	J	`jnl`	Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval. CoRR Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha
2024	J	`jnl`	Task Facet Learning: A Structured Approach to Prompt Optimization. CoRR Gurusha Juneja, Nagarajan Natarajan, Hua Li, Jian Jiao, Amit Sharma
2024	J	`jnl`	Task Oriented In-Domain Data Augmentation. CoRR Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao
2023	A*	`conf`	AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. NeurIPS Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
2023	J	`jnl`	AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. CoRR Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen
2023	J	`jnl`	AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. CoRR Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen
2023	J	`jnl`	AutoHint: Automatic Prompt Optimization with Hint Generation. CoRR Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles
2023	A*	`conf`	CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion. EMNLP Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan
2023	A*	`conf`	Deep Encoders with Auxiliary Parameters for Extreme Classification. KDD Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	A	`conf`	DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CIKM Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
2023	J	`jnl`	DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CoRR Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
2023	—	`conf`	Dual-Alignment Pre-training for Cross-lingual Sentence Embedding. ACL (1) Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang
2023	J	`jnl`	Dual-Alignment Pre-training for Cross-lingual Sentence Embedding. CoRR Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang
2023	J	`jnl`	Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. CoRR Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
2023	A	`conf`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. WSDM Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023	A*	`conf`	PROD: Progressive Distillation for Dense Retrieval. WWW Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan
2023	J	`jnl`	Pre-training Transformers for Knowledge Graph Completion. CoRR Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao
2023	—	`conf`	Renee: End-To-End Training of Extreme Classification Models. MLSys Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
2022	J	`jnl`	A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation. CoRR Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan
2022	—	`conf`	CULG: Commercial Universal Language Generation. NAACL-HLT (Industry Papers) Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan
2022	J	`jnl`	Curriculum Sampling for Dense Retrieval with Document Expansion. CoRR Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan
2022	J	`jnl`	Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao
2022	J	`jnl`	LEAD: Liberal Feature-based Distillation for Dense Retrieval. CoRR Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan
2022	A*	`conf`	Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. EMNLP Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan
2022	J	`jnl`	Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning. CoRR Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan
2022	J	`jnl`	NGAME: Negative Mining-aware Mini-batching for Extreme Classification. CoRR Kunal Dahiya, Nilesh Gupta, Deepak Saini, Akshay Soni, Yajun Wang, Kushal Dave, Jian Jiao, Gururaj K, Prasenjit Dey, Amit Singh, Deepesh Hada, Vidit Jain, Bhawna Paliwal, Anshul Mittal, Sonu Mehta, Ramachandran Ramjee, Sumeet Agarwal, Purushottam Kar, Manik Varma
2022	J	`jnl`	PROD: Progressive Distillation for Dense Retrieval. CoRR Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan
2022	A*	`conf`	PromptBERT: Improving BERT Sentence Embeddings with Prompts. EMNLP Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang
2022	A*	`conf`	Taming Sparsely Activated Transformer with Stochastic Experts. ICLR Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao
2021	A*	`conf`	BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. ICML Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan
2021	—	`conf`	GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan
2021	A*	`conf`	GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. WWW Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma
2021	—	`conf`	HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
2021	J	`jnl`	KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. CoRR Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan
2021	—	`conf`	KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. EMNLP (Findings) Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan
2021	—	`conf`	Mask Attention Networks: Rethinking and Strengthen Transformer. NAACL-HLT Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
2021	J	`jnl`	Mask Attention Networks: Rethinking and Strengthen Transformer. CoRR Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
2021	A*	`conf`	SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels. ICML Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	Taming Sparsely Activated Transformer with Stochastic Experts. CoRR Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
2020	B	`conf`	An Enhanced Knowledge Injection Model for Commonsense Generation. COLING Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang
2020	J	`jnl`	An Enhanced Knowledge Injection Model for Commonsense Generation. CoRR Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang
2020	J	`jnl`	BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. CoRR Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan
2020	J	`jnl`	GLGE: A New General Language Generation Evaluation Benchmark. CoRR Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan
2020	J	`jnl`	HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
2020	—	`conf`	ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. NLPCC (2) Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou
2020	J	`jnl`	ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. CoRR Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou
2020	J	`jnl`	TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval. CoRR Wenhao Lu, Jian Jiao, Ruofei Zhang
2020	A	`conf`	TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. CIKM Wenhao Lu, Jian Jiao, Ruofei Zhang
2018	A*	`conf`	Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors. KDD Ying Shan, Jian Jiao, Jie Zhu, J. C. Mao
2018	J	`jnl`	Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors. CoRR Ying Shan, Jian Jiao, Jie Zhu, J. C. Mao
2016	A*	`conf`	Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features. KDD Ying Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao