Hongyu Lin
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
CoRR, February, 2025
CoRR, January, 2025
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models.
CoRR, January, 2025
Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025
Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Evolutionary Constrained Multiobjective Optimization: Scalable High-Dimensional Constraint Benchmarks and Algorithm.
IEEE Trans. Evol. Comput., August, 2024
Multiobjective Differential Evolution for Higher-Dimensional Multimodal Multiobjective Optimization.
IEEE CAA J. Autom. Sinica, June, 2024
Mach. Intell. Res., April, 2024
Inf. Process. Manag., March, 2024
The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model.
CoRR, 2024
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering.
CoRR, 2024
CoRR, 2024
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization.
CoRR, 2024
Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic.
CoRR, 2024
CoRR, 2024
CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution.
CoRR, 2024
Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models.
CoRR, 2024
Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching.
CoRR, 2024
URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression.
CoRR, 2024
Spiral of Silences: How is Large Language Model Killing Information Retrieval? - A Case Study on Open Domain Question Answering.
CoRR, 2024
CoRR, 2024
Self-Retrieval: Building an Information Retrieval System with One Large Language Model.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the International Conference on Consumer Electronics - Taiwan, 2024
Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Executing Natural Language-Described Algorithms with Large Language Models: An Investigation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
ChatGPT Is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Pattern Shifting or Knowledge Losing? A Forgetting Perspective for Understanding the Effect of Instruction Fine-Tuning.
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024
Proceedings of the Chinese Computational Linguistics - 23rd China National Conference, 2024
A Behavior-aware Cause Identification Framework for Order Cancellation in Logistics Service.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
A Niching-Based Reproduction and Preselection-Based Multiobjective Differential Evolution for Multimodal Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Spiral of Silence: How is Large Language Model Killing Information Retrieval? - A Case Study on Open Domain Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
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
CoRR, 2023
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of 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
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
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
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
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
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
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
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
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
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
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
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
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
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
Proceedings of the Machine Learning and Intelligent Communications, 2019
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
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
2015
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