Xinnian Liang

Orcid: 0000-0002-4744-6179

According to our database1, Xinnian Liang authored at least 27 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
Multi-view fusion for universal translation quality estimation.
Inf. Fusion, February, 2024

Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework.
CoRR, 2024

xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning.
CoRR, 2024

m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Improving unsupervised keyphrase extraction by modeling hierarchical multi-granularity features.
Inf. Process. Manag., 2023

Unsupervised abstractive summarization via sentence rewriting.
Comput. Speech Lang., 2023

MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.
CoRR, 2023

KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation.
CoRR, 2023

Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System.
CoRR, 2023

Retrieval-Augmented Classification with Decoupled Representation.
CoRR, 2023

Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models.
CoRR, 2023

KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Towards Making the Most of LLM for Translation Quality Estimation.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Learning Unified Video-Language Representations via Joint Modeling and Contrastive Learning for Natural Language Video Localization.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Iterative Nearest Neighbour Machine Translation for Unsupervised Domain Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Improving Unsupervised Extractive Summarization by Jointly Modeling Facet and Redundancy.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization.
CoRR, 2022

Modeling Multi-Granularity Hierarchical Features for Relation Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Towards Modeling Role-Aware Centrality for Dialogue Summarization.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving Unsupervised Extractive Summarization with Facet-Aware Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Learning to Copy Coherent Knowledge for Response Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
StyleDGPT: Stylized Response Generation with Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020


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