Lingyong Yan

Orcid: 0000-0002-6547-1984

According to our database1, Lingyong Yan authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models.
CoRR, 2024

2023
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers.
CoRR, 2023

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method.
CoRR, 2023

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment.
CoRR, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent.
CoRR, 2023

Learning to Tokenize for Generative Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

From Learning-to-Match to Learning-to-Discriminate: Global Prototype Learning for Few-shot Relation Classification.
Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

Element Intervention for Open Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension.
CoRR, 2020

Global Bootstrapping Neural Network for Entity Set Expansion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Reinforcement Learning for Clue Selection in Web-Based Entity Translation Mining.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence, 2020

End-to-End Bootstrapping Neural Network for Entity Set Expansion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning to Bootstrap for Entity Set Expansion.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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