Hongbin Ye

Orcid: 0000-0001-5727-5599

According to our database1, Hongbin Ye authored at least 24 papers between 2020 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus.
CoRR, 2024

2023
LOGEN: Few-Shot Logical Knowledge-Conditioned Text Generation With Self-Training.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction.
CoRR, 2023

Cognitive Mirage: A Review of Hallucinations in Large Language Models.
CoRR, 2023

InstructIE: A Bilingual Instruction-based Information Extraction Dataset.
CoRR, 2023

Schema-adaptable Knowledge Graph Construction.
CoRR, 2023

Schema-adaptable Knowledge Graph Construction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Robust triple extraction with cascade bidirectional capsule network.
Expert Syst. Appl., 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
CoRR, 2022

Ontology-enhanced Prompt-tuning for Few-shot Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generative Knowledge Graph Construction: A Review.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Contrastive Information Extraction With Generative Transformer.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Learning to Ask for Data-Efficient Event Argument Extraction.
CoRR, 2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark.
CoRR, 2021

Text-guided Legal Knowledge Graph Reasoning.
CoRR, 2021

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Disentangled Contrastive Learning for Learning Robust Textual Representations.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

On Robustness and Bias Analysis of BERT-Based Relation Extraction.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

Text-Guided Legal Knowledge Graph Reasoning.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

Contrastive Triple Extraction with Generative Transformer.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020


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