2025
DiMA: An LLM-Powered Ride-Hailing Assistant at DiDi.
CoRR, March, 2025
MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing.
CoRR, February, 2025
2024
Fact-Level Confidence Calibration and Self-Correction.
CoRR, 2024
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion.
CoRR, 2024
InstructEval: Instruction-Tuned Text Evaluator from Human Preference.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction.
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Unlocking the Power of Large Language Models for Entity Alignment.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning.
J. Artif. Intell. Res., 2023
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning.
CoRR, 2022
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance.
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CoRR, 2022
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods.
CoRR, 2022
BatchDTA: implicit batch alignment enhances deep learning-based drug-target affinity estimation.
Briefings Bioinform., 2022
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
UNIMO-2: End-to-End Unified Vision-Language Grounded Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Abstractive Multi-Document Summarization Based on Semantic Link Network.
IEEE Trans. Knowl. Data Eng., 2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
SgSum: Transforming Multi-document Summarization into Sub-graph Selection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
BASS: Boosting Abstractive Summarization with Unified Semantic Graph.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Probabilistic inference on uncertain semantic link network and its application in event identification.
Future Gener. Comput. Syst., 2020
Leveraging Graph to Improve Abstractive Multi-Document Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet.
IEEE Access, 2019
2018
Improving Neural Abstractive Document Summarization with Structural Regularization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Learning Knowledge Representation Across Knowledge Graphs.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Chinese Poetry Generation with Planning based Neural Network.
Proceedings of the COLING 2016, 2016
Abstractive News Summarization based on Event Semantic Link Network.
Proceedings of the COLING 2016, 2016
Exploring Differential Topic Models for Comparative Summarization of Scientific Papers.
Proceedings of the COLING 2016, 2016
2015
Improved beam search with constrained softmax for NMT.
Proceedings of Machine Translation Summit XV: Papers, 2015
Abstractive Multi-document Summarization with Semantic Information Extraction.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2014
Summarising News with Texts and Pictures.
Proceedings of the 2014 10th International Conference on Semantics, 2014