Ruirui Li

According to our database, Ruirui Li authored at least 30 papers between 2013 and 2024.

Collaborative distances:

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

2024

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.

Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun

CoRR, 2024

IterAlign: Iterative Constitutional Alignment of Large Language Models.

Xiusi Chen, Hongzhi Wen, Sreyashi Nag, Chen Luo, Qingyu Yin, Ruirui Li, Zheng Li, Wei Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Product-Aware Query Auto-Completion Framework for E-Commerce Search via Retrieval-Augmented Generation Method.

Fangzheng Sun, Tianqi Zheng, Aakash Kolekar, Rohit Patki, Hossein Khazaei, Xuan Guo, Ziheng Cai, David Liu, Ruirui Li, Yupin Huang, Dante Everaert, Hanqing Lu, Garima Patel Monica Cheng

Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

Language Models as Semantic Indexers.

Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang

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

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.

Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.

Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.

Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.

Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.

Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.

Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

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

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.

Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao

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

2022

Contrastive-mixup Learning for Improved Speaker Verification.

Xin Zhang, Minho Jin, Roger Cheng, Ruirui Li, Eunjung Han, Andreas Stolcke

Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Supervised Speaker Recognition Training using Human-Machine Dialogues.

Metehan Cekic, Ruirui Li, Zeya Chen, Yuguang Yang, Andreas Stolcke, Upamanyu Madhow

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Scaling Effect of Self-Supervised Speech Models.

Jie Pu, Yuguang Yang, Ruirui Li, Oguz Elibol, Jasha Droppo

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition.

Ruirui Li, Chelsea J.-T. Ju, Zeya Chen, Hongda Mao, Oguz Elibol, Andreas Stolcke

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020

Non-local convolutional neural networks (nlcnn) for speaker recognition.

Haici Yang, Hongda Mao, Ruirui Li, Chelsea J.-T. Ju, Oguz Elibol

CoRR, 2020

Few-Shot Learning for New User Recommendation in Location-based Social Networks.

Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks.

Ruirui Li, Xian Wu, Wei Wang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Automatic Speaker Recognition with Limited Data.

Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training.

Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh, Andreas Stolcke

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Automated Relational Meta-learning.

Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.

Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification.

Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, Wei Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Learning from Sparse and Deficient Data and its Applications.

Ruirui Li

PhD thesis, 2019

Click Feedback-Aware Query Recommendation Using Adversarial Examples.

Ruirui Li, Liangda Li, Xian Wu, Yunhong Zhou, Wei Wang

Proceedings of the World Wide Web Conference, 2019

CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions.

Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2017

Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers.

Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang, Wei Wang

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016

Towards customer trouble tickets resolution automation in large cellular services: demo.

Ruirui Li, Xinxin Huang, Shuo Song, Jia Wang, Wei Wang

Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016

2015

REAFUM: Representative Approximate Frequent Subgraph Mining.

Ruirui Li, Wei Wang

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2013

A probabilistic approach to diversified query recommendation.

Ruirui Li

MSc thesis, 2013