Jian Jiao

According to our database, Jian Jiao authored at least 43 papers between 2016 and 2024.

Collaborative distances:

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

2024

CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks.

Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma

CoRR, 2024

On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification.

Jatin Prakash, Anirudh Buvanesh, Bishal Santra, Deepak Saini, Sachin Yadav, Jian Jiao, Yashoteja Prabhu, Amit Sharma, Manik Varma

CoRR, 2024

Task Oriented In-Domain Data Augmentation.

Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao

CoRR, 2024

Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval.

Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha

CoRR, 2024

Rho-1: Not All Tokens Are What You Need.

Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen

CoRR, 2024

Graph Regularized Encoder Training for Extreme Classification.

Anshul Mittal, Shikhar Mohan, Deepak Saini, Suchith C. Prabhu, Jian Jiao, Sumeet Agarwal, Soumen Chakrabarti, Purushottam Kar, Manik Varma

CoRR, 2024

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval.

Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma

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

Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning.

Amit Sharma, Hua Li, Xue Li, Jian Jiao

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

OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification.

Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing.

Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

AutoHint: Automatic Prompt Optimization with Hint Generation.

Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles

CoRR, 2023

Pre-training Transformers for Knowledge Graph Completion.

Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao

CoRR, 2023

PROD: Progressive Distillation for Dense Retrieval.

Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan

Proceedings of the ACM Web Conference 2023, 2023

NGAME: Negative Mining-aware Mini-batching for Extreme Classification.

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Renee: End-To-End Training of Extreme Classification Models.

Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Deep Encoders with Auxiliary Parameters for Extreme Classification.

Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion.

Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan

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

DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries.

Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles

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

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding.

Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Curriculum Sampling for Dense Retrieval with Document Expansion.

Xingwei He, Yeyun Gong, A-Long Jin, Hang Zhang, Anlei Dong, Jian Jiao, Siu-Ming Yiu, Nan Duan

CoRR, 2022

Efficient Long Sequence Modeling via State Space Augmented Transformer.

Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao

CoRR, 2022

LEAD: Liberal Feature-based Distillation for Dense Retrieval.

Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan

CoRR, 2022

A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation.

Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan

CoRR, 2022

CULG: Commercial Universal Language Generation.

Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

Taming Sparsely Activated Transformer with Stochastic Experts.

Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao

Proceedings of the Tenth International Conference on Learning Representations, 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts.

Ting Jiang, Jian Jiao, Shaohan Huang, Zihan Zhang, Deqing Wang, Fuzhen Zhuang, Furu Wei, Haizhen Huang, Denvy Deng, Qi Zhang

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

Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning.

Xingwei He, Yeyun Gong, A-Long Jin, Weizhen Qi, Hang Zhang, Jian Jiao, Bartuer Zhou, Biao Cheng, Siu-Ming Yiu, Nan Duan

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

2021

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning.

Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

CoRR, 2021

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification.

Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma

Proceedings of the WWW '21: The Web Conference 2021, 2021

Mask Attention Networks: Rethinking and Strengthen Transformer.

Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining.

Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

Proceedings of the 38th International Conference on Machine Learning, 2021

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels.

Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the 38th International Conference on Machine Learning, 2021

HittER: Hierarchical Transformers for Knowledge Graph Embeddings.

Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji

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

KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning.

Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

GLGE: A New General Language Generation Evaluation Benchmark.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval.

Wenhao Lu, Jian Jiao, Ruofei Zhang

CoRR, 2020

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine.

Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2020

An Enhanced Knowledge Injection Model for Commonsense Generation.

Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval.

Wenhao Lu, Jian Jiao, Ruofei Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Recurrent Binary Embedding for GPU-Enabled Exhaustive Retrieval from Billion-Scale Semantic Vectors.

Ying Shan, Jian Jiao, Jie Zhu, J. C. Mao

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2016

Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features.

Ying Shan, T. Ryan Hoens, Jian Jiao, Haijing Wang, Dong Yu, J. C. Mao

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016