Hongyu Lin

Orcid: 0009-0001-5857-9663

According to our database1, Hongyu Lin authored at least 74 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
The Life Cycle of Knowledge in Big Language Models: A Survey.
Mach. Intell. Res., April, 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

Academically intelligent LLMs are not necessarily socially intelligent.
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

Learning or Self-aligning? Rethinking Instruction Fine-tuning.
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

AI for social science and social science of AI: A Survey.
CoRR, 2024

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

Benchmarking Large Language Models in Retrieval-Augmented Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving named entity correctness of abstractive summarization by generative negative sampling.
Comput. Speech Lang., June, 2023

An Efficient and Unified Recognition Method for Multiple License Plates in Unconstrained Scenarios.
IEEE Trans. Intell. Transp. Syst., May, 2023

Dynamic Auxiliary Task-Based Evolutionary Multitasking for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023

Multiobjective Differential Evolution With Speciation for Constrained Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2023

DBCopilot: Scaling Natural Language Querying to Massive Databases.
CoRR, 2023

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.
CoRR, 2023

DLUE: Benchmarking Document Language Understanding.
CoRR, 2023

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models.
CoRR, 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

Toward Unified Controllable Text Generation via Regular Expression Instruction.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Contrastive Distant Supervision for Debiased and Denoised Machine Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SentBench: Comprehensive Evaluation of Self-Supervised Sentence Representation with Benchmark Construction.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

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

Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

WebDP: Understanding Discourse Structures in Semi-Structured Web Documents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Dialogue Rewriting via Skeleton-Guided Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

2022
Population of Degrading Small Impact Craters in the Chang'E-4 Landing Area Using Descent and Ground Images.
Remote. Sens., 2022

Research on energy saving algorithm of field animal monitoring based on cluster sensor network.
J. Intell. Fuzzy Syst., 2022

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction.
CoRR, 2022

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

Recursive-YOLOv5 Network for Edible Mushroom Detection in Scenes With Vertical Stick Placement.
IEEE Access, 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

CATAMARAN: A Cross-lingual Long Text Abstractive Summarization Dataset.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Bridging the Gap between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Application of an Improved Multimodal Multiobjective Algorithm in Feature Selection.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

ECO v1: Towards Event-Centric Opinion Mining.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Pre-training to Match for Unified Low-shot Relation Extraction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Few-shot Named Entity Recognition with Self-describing Networks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision.
CoRR, 2021

Fine-grained Entity Typing via Label Reasoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention.
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

De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 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

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

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

Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hierarchical multi-task learning with CRF for implicit discourse relation recognition.
Knowl. Based Syst., 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
A Smart Wearable Device for Preventing Indoor Electric Shock Hazards.
Proceedings of the Machine Learning and Intelligent Communications, 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
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

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

Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015
A Context-Aware Topic Model for Statistical Machine Translation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


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