Qiushi Sun
Orcid: 0000-0002-6932-1596
According to our database1,
Qiushi Sun
authored at least 28 papers
between 2019 and 2024.
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Bibliography
2024
Resource allocation in heterogeneous network with node and edge enhanced graph attention network.
Appl. Intell., March, 2024
CoRR, 2024
Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models.
CoRR, 2024
CoRR, 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection 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
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
CoRR, 2023
Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2019
MMIR: a microscopic mechanism for street selection based on intersection records in urban VANET routing.
EURASIP J. Wirel. Commun. Netw., 2019