Wei Li

Orcid: 0000-0003-4464-2446

Affiliations:
  • Baidu Inc., Natural Language Processing Department, Beijing, China
  • University of Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Wei Li authored at least 32 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Unlocking the Power of Large Language Models for Entity Alignment.
CoRR, 2024

UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion.
CoRR, 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.
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


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