Libo Qin
Orcid: 0000-0002-3619-675XAffiliations:
- Central South University, School of Computer Science and Engineering, Changsha, China
- Harbin Institute of Technology, Research Center for Social Computing and Information Retrieval, China (PhD)
According to our database1,
Libo Qin
authored at least 65 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought.
CoRR, 2024
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices.
CoRR, 2024
CoRR, 2024
CroPrompt: Cross-task Interactive Prompting for Zero-shot Spoken Language Understanding.
CoRR, 2024
M<sup>3</sup>CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought.
CoRR, 2024
CoRR, 2024
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction.
CoRR, 2024
CoRR, 2024
Decoupling Breaks Data Barriers: A Decoupled Pre-training Framework for Multi-intent Spoken Language Understanding.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Pro-HAN: A Heterogeneous Graph Attention Network for Profile-based Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2024
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-Modal Intent Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization.
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
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought.
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
2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.
CoRR, 2023
HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding.
CoRR, 2023
Improving Few-Shot and Zero-Shot Entity Linking with Coarse-to-Fine Lexicon-Based Retriever.
Proceedings of the Natural Language Processing and Chinese Computing, 2023
End-to-end Task-oriented Dialogue: A Survey of Tasks, Methods, and Future Directions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023
Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Multi-domain Spoken Language Understanding Using Domain- and Task-aware Parameterization.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022
CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding.
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
Knowing Where to Leverage: Context-Aware Graph Convolutional Network With an Adaptive Fusion Layer for Contextual Spoken Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling.
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
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models.
CoRR, 2020
Multi-Domain Spoken Language Understanding Using Domain- and Task-Aware Parameterization.
CoRR, 2020
TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling.
CoRR, 2020
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Towards Fine-Grained Transfer: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Span-Based Neural Buffer: Towards Efficient and Effective Utilization of Long-Distance Context for Neural Sequence Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
End-to-End Task-Oriented Dialogue System with Distantly Supervised Knowledge Base Retriever.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018