Yaojie Lu

Orcid: 0000-0002-5842-7715

Affiliations:
  • Institute of Software, Chinese Academy of Sciences, China


According to our database1, Yaojie Lu authored at least 39 papers between 2015 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Few-shot Named Entity Recognition via Superposition Concept Discrimination.
CoRR, 2024

Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models.
CoRR, 2024

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect.
CoRR, 2024

Self-Retrieval: Building an Information Retrieval System with One Large Language Model.
CoRR, 2024

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation.
CoRR, 2024

SoFA: Shielded On-the-fly Alignment via Priority Rule Following.
CoRR, 2024

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
CoRR, 2024

Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Harvesting Event Schemas from Large Language Models.
CoRR, 2023

A Drop of Ink Makes a Million Think: The Spread of False Information in Large Language Models.
CoRR, 2023

ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models.
CoRR, 2023

Testing Coreference Resolution Systems without Labeled Test Sets.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Document Information Extraction via Global Tagging.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Learning In-context Learning for Named Entity Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Universal Information Extraction as Unified Semantic Matching.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
End-to-end neural event coreference resolution.
Artif. Intell., 2022

ISCAS at SemEval-2022 Task 10: An Extraction-Validation Pipeline for Structured Sentiment Analysis.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Unified Structure Generation for Universal Information Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Procedural Text Understanding via Scene-Wise Evolution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
From Discourse to Narrative: Knowledge Projection for Event 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

Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Semantically Smooth Bilingual Phrase Embeddings Based on Recursive Autoencoders.
Neural Process. Lett., 2020

A Rigourous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
CoRR, 2020

ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement Modeling.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Syntactic and Semantic-driven Learning for Open Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Iterative Dual Domain Adaptation for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cost-sensitive Regularization for Label Confusion-aware Event Detection.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Exploring Implicit Semantic Constraints for Bilingual Word Embeddings.
Neural Process. Lett., 2018

Cross-lingual implicit discourse relation recognition with co-training.
Frontiers Inf. Technol. Electron. Eng., 2018

A Word Embedding Transfer Model for Robust Text Categorization.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

Nugget Proposal Networks for Chinese Event Detection.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Adaptive Scaling for Sparse Detection in Information Extraction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Variational Recurrent Neural Machine Translation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
ISCAS_Sogou at TAC-KBP 2017.
Proceedings of the 2017 Text Analysis Conference, 2017

2015
Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015


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