Bin Ji

Orcid: 0000-0002-5508-5051

Affiliations:

National University of Singapore, Institute of Data Science, Singapore
National University of Defense Technology, College of Computer, Changsha, China (PhD 2022, former)

According to our database¹, Bin Ji authored at least 42 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

CodeArena: A Collective Evaluation Platform for LLM Code Generation.

[BibT_eX]

[DOI]

CoRR, March, 2025

Rethinking the Residual Distribution of Locate-then-Editing Methods in Model Editing.

[BibT_eX]

[DOI]

CoRR, February, 2025

Model Editing for LLMs4Code: How Far are we?

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

Multi-modal Entity Linking Model Based on Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Towards Verifiable Text Generation with Generative Agent.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A More Context-Aware Approach for Textual Adversarial Attacks Using Probability Difference-Guided Beam Search.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2024

LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment.

[BibT_eX]

[DOI]

CoRR, 2024

Identifying Knowledge Editing Types in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking.

[BibT_eX]

[DOI]

CoRR, 2024

Mercury: An Efficiency Benchmark for LLM Code Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

SWEA: Changing Factual Knowledge in Large Language Models via Subject Word Embedding Altering.

[BibT_eX]

[DOI]

CoRR, 2024

Span-based joint entity and relation extraction augmented with sequence tagging mechanism.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2024

Mercury: A Code Efficiency Benchmark for Code Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Offline Textual Adversarial Attacks against Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Chain-of-Thought Improves Text Generation with Citations in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

From Static to Dynamic: Knowledge Metabolism for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

From Static to Dynamic: A Continual Learning Framework for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna.

[BibT_eX]

[DOI]

Bin Ji

CoRR, 2023

Dynamic Multi-View Fusion Mechanism for Chinese Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Learning Well-Separated and Representative Prototypes for Few-Shot Event Detection.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

QAE: A Hard-Label Textual Attack Considering the Comprehensive Quality of Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Non-Autoregressive Sentence Ordering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DADR: A Denoising Approach for Dense Retrieval Model Training.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Textual adversarial attacks by exchanging text-self words.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., December, 2022

S-NER: A Concise and Efficient Span-Based Model for Named Entity Recognition.

[BibT_eX]

[DOI]

Sensors, 2022

A novel bundling learning paradigm for named entity recognition.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

A Two-Phase Paradigm for Joint Entity-Relation Extraction.

[BibT_eX]

[DOI]

CoRR, 2022

A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search.

[BibT_eX]

[DOI]

CoRR, 2022

Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes.

[BibT_eX]

[DOI]

CoRR, 2022

Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Topic-Grained Text Representation-Based Model for Document Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Boosting Span-based Joint Entity and Relation Extraction via Squence Tagging Mechanism.

[BibT_eX]

[DOI]

CoRR, 2021

Span Representation Generation Method in Entity-Relation Joint Extraction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

A Unified Summarization Model with Semantic Guide and Keyword Coverage Mechanism.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2020

Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A hybrid approach for named entity recognition in Chinese electronic medical record.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2019

2018

A BiLSTM-CRF Method to Chinese Electronic Medical Record Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Algorithms, 2018

Bin Ji

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