Chen Luo

Orcid: 0000-0001-5339-5817

Affiliations:
  • Amazon Inc., Amazon Search, Palo Alto, CA, USA


According to our database1, Chen Luo authored at least 31 papers between 2016 and 2024.

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Bibliography

2024
Exploring Query Understanding for Amazon Product Search.
CoRR, 2024

Relational Database Augmented Large Language Model.
CoRR, 2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.
CoRR, 2024

Scalable and Effective Generative Information Retrieval.
Proceedings of the ACM on Web Conference 2024, 2024

Bi-CAT: Improving Robustness of LLM-based Text Rankers to Conditional Distribution Shifts.
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.
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).
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.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

IterAlign: Iterative Constitutional Alignment of Large Language Models.
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.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Session-Aware Product filter Ranking in E- Commerce Search.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition.
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.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.
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.
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.
CoRR, 2023

Implicit Query Parsing at Amazon Product Search.
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.
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.
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.
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.
CoRR, 2022

ROSE: Robust Caches for Amazon Product Search.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Massive Text Normalization via an Efficient Randomized Algorithm.
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.
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.
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.
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.
CoRR, 2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.
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.
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.
ACM Trans. Intell. Syst. Technol., 2016


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