Yangning Li

Orcid: 0000-0002-1991-6698

According to our database1, Yangning Li authored at least 47 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Advancing entity alignment with dangling cases: a structure-aware approach through optimal transport learning and contrastive learning.
Neural Comput. Appl., November, 2024

ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions.
CoRR, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.
CoRR, 2024

UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities.
CoRR, 2024

Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework.
CoRR, 2024

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.
CoRR, 2024

When LLMs Meet Cunning Questions: A Fallacy Understanding Benchmark for Large Language Models.
CoRR, 2024

Relation Knowledge Distillation Based on Prompt Learning for Generalized Few-Shot Intent Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Retrieval-Augmented Meta Learning for Low-Resource Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024

Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

From Retrieval to Generation: Efficient and Effective Entity Set Expansion.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Automatic Context Pattern Generation for Entity Set Expansion.
IEEE Trans. Knowl. Data Eng., December, 2023

Active relation discovery: Towards general and label-aware open relation extraction.
Knowl. Based Syst., December, 2023

Embracing ambiguity: Improving similarity-oriented tasks with contextual synonym knowledge.
Neurocomputing, October, 2023

EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data.
CoRR, 2023

Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters.
CoRR, 2023

Prompt Learning With Knowledge Memorizing Prototypes For Generalized Few-Shot Intent Detection.
CoRR, 2023

On the (In)Effectiveness of Large Language Models for Chinese Text Correction.
CoRR, 2023

Progressive Multi-task Learning Framework for Chinese Text Error Correction.
CoRR, 2023

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking.
CoRR, 2023

Investigating Graph Structure Information for Entity Alignment with Dangling Cases.
CoRR, 2023

From Retrieval to Generation: Efficient and Effective Entity Set Expansion.
CoRR, 2023

Knowledge-augmented Few-shot Visual Relation Detection.
CoRR, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.
Proceedings of the Semantic Web - ISWC 2023, 2023

Contextual Similarity is More Valuable Than Character Similarity: An Empirical Study for Chinese Spell Checking.
Proceedings of the IEEE International Conference on Acoustics, 2023

Vision, Deduction and Alignment: An Empirical Study on Multi-Modal Knowledge Graph Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2023

CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Global Mixup: Eliminating Ambiguity with Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Active Relation Discovery: Towards General and Label-aware Open Relation Extraction.
CoRR, 2022

Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation.
CoRR, 2022

A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking.
CoRR, 2022

Contextual Similarity is More Valuable than Character Similarity: Curriculum Learning for Chinese Spell Checking.
CoRR, 2022

Global Mixup: Eliminating Ambiguity with Clustering.
CoRR, 2022

Contrastive Learning with Hard Negative Entities for Entity Set Expansion.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Tree-structured Auxiliary Online Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Purified Feature Representations from Task-irrelevant Labels.
Proceedings of the International Joint Conference on Neural Networks, 2022

Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Learning Purified Feature Representations from Task-irrelevant Labels.
CoRR, 2021


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