Wanlong Liu

Orcid: 0000-0002-8958-2478

According to our database1, Wanlong Liu authored at least 26 papers between 2021 and 2025.

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

Timeline

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Bibliography

2025
Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning.
CoRR, June, 2025

QFFT, Question-Free Fine-Tuning for Adaptive Reasoning.
CoRR, June, 2025

RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions.
CoRR, January, 2025

Efficient Automatic Modulation Classification in Nonterrestrial Networks With SNN-Based Transformer.
IEEE Internet Things J., 2025

Document-level relation extraction with structural encoding and entity-pair-level information interaction.
Expert Syst. Appl., 2025

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Enhancing Document-Level Relation Extraction through Entity-Pair-Level Interaction Modeling.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

A Compressive Memory-based Retrieval Approach for Event Argument Extraction.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Dynamic training for handling textual label noise.
Appl. Intell., November, 2024

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.
CoRR, 2024

DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction Model with Slot Querying.
CoRR, 2024

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge.
CoRR, 2024

MLPs Compass: What is Learned When MLPs are Combined with PLMs?
Proceedings of the IEEE International Conference on Acoustics, 2024

Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
DPGNN: Dual-perception graph neural network for representation learning.
Knowl. Based Syst., 2023

CARLG: Leveraging Contextual Clues and Role Correlations for Improving Document-level Event Argument Extraction.
CoRR, 2023

Rethinking Random Walk in Graph Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Substructure Aware Graph Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Document-Level Relation Extraction with Structure Enhanced Transformer Encoder.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Simple Graph Neural Network via Layer Sniffer.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
A Dual-Perception Graph Neural Network with Multi-hop Graph Generator.
CoRR, 2021


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