Chen Luo

According to our database, Chen Luo authored at least 33 papers between 2016 and 2024.

Collaborative distances:

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

2024

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

CoRR, 2024

A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.

Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing

CoRR, 2024

Exploring Query Understanding for Amazon Product Search.

Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He

CoRR, 2024

Relational Database Augmented Large Language Model.

Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun

CoRR, 2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.

Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang

CoRR, 2024

Scalable and Effective Generative Information Retrieval.

Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani

Proceedings of the ACM on Web Conference 2024, 2024

Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts.

Sriram Srinivasan, Stephen Sheng, Rishabh Deshmukh, Chen Luo, Yesh Dattatreya, Subhajit Sanyal, S. V. N. Vishwanathan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach.

Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai

Proceedings of the ACM on Web Conference 2024, 2024

The 3rd International Workshop on Interactive and Scalable Information Retrieval Methods for eCommerce (ISIR-eCom 2024).

Vachik S. Dave, Linsey Pang, Xiquan Cui, Chen Luo, Hamed Zamani, Lingfei Wu, George Karypis

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding.

Hansi Zeng, Chen Luo, Hamed Zamani

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Understanding Inter-Session Intentions via Complex Logical Reasoning.

Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Yangqiu Song

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

Session-Aware Product filter Ranking in E- Commerce Search.

Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition.

Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.

Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song

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

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.

Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton

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

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.

Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Junxian He, Yangqiu Song

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

2023

CARAMEL: A Succinct Read-Only Lookup Table via Compressed Static Functions.

Benjamin Coleman, David Torres Ramos, Vihan Lakshman, Chen Luo, Anshumali Shrivastava

CoRR, 2023

Implicit Query Parsing at Amazon Product Search.

Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints.

Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song

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

Knowledge Graph Reasoning over Entities and Numerical Values.

Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song

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

2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.

Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin

CoRR, 2022

ROSE: Robust Caches for Amazon Product Search.

Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Massive Text Normalization via an Efficient Randomized Algorithm.

Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank.

Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Query Attribute Recommendation at Amazon Search.

Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data.

Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang

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

2021

A Fast Randomized Algorithm for Massive Text Normalization.

Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue

CoRR, 2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.

Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs.

Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2016

Telco User Activity Level Prediction with Massive Mobile Broadband Data.

Chen Luo, Jia Zeng, Mingxuan Yuan, Wenyuan Dai, Qiang Yang

ACM Trans. Intell. Syst. Technol., 2016