Zheng Li

Orcid: 0009-0006-4523-7652

Affiliations:
  • Amazon.com Inc, USA
  • Hong Kong University of Science and Technology, Hong Kong (former)


According to our database1, Zheng Li authored at least 37 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR, 2024

Hierarchical Query Classification in E-commerce Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 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

MEMORYLLM: Towards Self-Updatable Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Models as Semantic Indexers.
Proceedings of the Forty-first International Conference on Machine Learning, 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

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

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
CCGen: Explainable Complementary Concept Generation in E-Commerce.
CoRR, 2023

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
Proceedings of the ACM Web Conference 2023, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
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

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Graph Reasoning for Question Answering with Triplet Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.
CoRR, 2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.
CoRR, 2022

Condensing Graphs via One-Step Gradient Matching.
CoRR, 2022

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Query Attribute Recommendation at Amazon Search.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Condensing Graphs via One-Step Gradient Matching.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

2020
Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond.
CoRR, 2020

Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification.
CoRR, 2018

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017


  Loading...