| Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods W Li, W Wu, M Chen, J Liu, X Xiao, H Wu | 50 | 2022 |
| BASS: Boosting Abstractive Summarization with Unified Semantic Graph W Wu, W Li, X Xiao, J Liu, Z Cao, S Li, H Wu, H Wang ACL2021 Long paper (Main Conference), 2021 | 45 | 2021 |
| PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training D Zhu, N Yang, L Wang, Y Song, W Wu, F Wei, S Li arXiv preprint arXiv:2309.10400, 2023 | 36 | 2023 |
| RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs Y Song, W Xiong, D Zhu, C Li, K Wang, Y Tian, S Li arXiv preprint arXiv:2306.06624, 2023 | 34 | 2023 |
| Learn and Review: Enhancing Continual Named Entity Recognition via Reviewing Synthetic Samples Y Xia, Q Wang, Y Lyu, Y Zhu, W Wu, S Li, D Dai Findings of the Association for Computational Linguistics: ACL 2022, 2291-2300, 2022 | 26 | 2022 |
| Composing Elementary Discourse Units in Abstractive Summarization Z Li, W Wu, S Li Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 23 | 2020 |
| Restgpt: Connecting large language models with real-world restful apis Y Song, W Xiong, D Zhu, W Wu, H Qian, M Song, H Huang, C Li, K Wang, ... arXiv preprint arXiv:2306.06624, 2023 | 14 | 2023 |
| FRSUM: Towards Faithful Abstractive Summarization via Enhancing Factual Robustness W Wu, W Li, J Liu, X Xiao, Z Cao, S Li, H Wu Findings of EMNLP2022, 2022 | 9 | 2022 |
| Retrieval Head Mechanistically Explains Long-Context Factuality W Wu, Y Wang, G Xiao, H Peng, Y Fu arXiv preprint arXiv:2404.15574, 2024 | 6 | 2024 |
| LongEmbed: Extending Embedding Models for Long Context Retrieval D Zhu, L Wang, N Yang, Y Song, W Wu, F Wei, S Li arXiv preprint arXiv:2404.12096, 2024 | 5 | 2024 |
| Exploring In-Context Learning for Knowledge Grounded Dialog Generation Q Chen, W Wu, S Li Findings of the Association for Computational Linguistics: EMNLP 2023, 10071 …, 2023 | 4 | 2023 |
| FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning ZB Lan, W Li, J Su, X Xiao, J Liu, W Wu, Y Lyu Journal of Artificial Intelligence Research 76, 1281-1303, 2023 | 4 | 2023 |
| WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning W Wu, W Li, X Xiao, J Liu, S Li, Y Lv ACL 2023 Long paper, 2022 | 4 | 2022 |
| Long Context Alignment with Short Instructions and Synthesized Positions W Wu, Y Wang, Y Fu, X Yue, D Zhu, S Li arXiv preprint arXiv:2405.03939, 2024 | 3 | 2024 |
| Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood Y Xia, Y Zhao, W Wu, S Li Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 3 | 2023 |
| Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation W Wu, W Li, J Liu, X Xiao, S Li, Y Lyu EMNLP 2022, 2022 | 3 | 2022 |
| Summary generation model training method and apparatus, device and storage medium W Wu, W Li, X Xiao, LIU Jiachen US Patent App. 17/577,561, 2023 | 2 | 2023 |
| Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement W Xiong, Y Song, X Zhao, W Wu, X Wang, K Wang, C Li, W Peng, S Li arXiv preprint arXiv:2406.11176, 2024 | 1 | 2024 |
| InstructEval: Instruction-Tuned Text Evaluator from Human Preference W Wu, W Li, X Xiao, J Liu, S Li Findings of the Association for Computational Linguistics ACL 2024, 13462-13474, 2024 | | 2024 |
| CoUDA: Coherence Evaluation via Unified Data Augmentation D Zhu*, W Wu*, Y Song, F Zhu, Z Cao, S Li NAACL 2024, 2024 | | 2024 |
Sujian LIPeking Univ.Verified email at pku.edu.cn
