Qian-Wen Zhang
Orcid: 0000-0002-6532-5434
According to our database1,
Qian-Wen Zhang authored at least 24 papers
between 2018 and 2025.
Collaborative distances:
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Bibliography
2025
PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity.
CoRR, October, 2025
Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning.
CoRR, August, 2025
CoDiEmb: A Collaborative yet Distinct Framework for Unified Representation Learning in Information Retrieval and Semantic Textual Similarity.
CoRR, August, 2025
FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction.
CoRR, April, 2025
Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts.
CoRR, April, 2025
Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
CJEval: A Benchmark for Assessing Large Language Models Using Chinese Junior High School Exam Data.
CoRR, 2024
SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models.
CoRR, 2024
2023
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023
G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parsers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning.
IEEE Trans. Knowl. Data Eng., 2021
Retroperitoneum ganglioneuroma: imaging features and surgical outcomes of 35 cases at a Chinese Institution.
BMC Medical Imaging, 2021
CT perfusion based ASPECTS improves the diagnostic performance of early ischemic changes in large vessel occlusion.
BMC Medical Imaging, 2021
MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas.
BMC Medical Imaging, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018