| Compressing Context to Enhance Inference Efficiency of Large Language Models Y Li, B Dong, C Lin, F Guerin EMNLP 2023, 2023 | 44* | 2023 |
| FrameBERT: Conceptual metaphor detection with frame embedding learning Y Li, S Wang, C Lin, F Guerin, L Barrault EACL 2023, 2023 | 20 | 2023 |
| Recent advances in neural text generation: A task-agnostic survey C Tang, F Guerin, C Lin arXiv preprint arXiv:2203.03047, 2022 | 16 | 2022 |
| An Open Source Data Contamination Report for Large Language Models Y Li, F Guerin, C Lin arXiv preprint arXiv:2310.17589, 2023 | 15* | 2023 |
| Metaphor Detection with Effective Context Denoising S Wang, Y Li, C Lin, L Barrault, F Guerin EACL 2023, 2023 | 13 | 2023 |
| CM-Gen: A neural framework for chinese metaphor generation with explicit context modelling Y Li, C Lin, F Guerin COLING 2022, 6468-6479, 2022 | 13 | 2022 |
| Nominal metaphor generation with multitask learning Y Li, C Lin, F Geurin INLG 2022, 2022 | 13 | 2022 |
| The Secret of Metaphor on Expressing Stronger Emotion Y Li, F Guerin, C Lin FigLang@EMNLP 2022, 2023 | 10 | 2023 |
| Estimating contamination via perplexity: Quantifying memorisation in language model evaluation Y Li arXiv preprint arXiv:2309.10677, 2023 | 9 | 2023 |
| Latesteval: Addressing data contamination in language model evaluation through dynamic and time-sensitive test construction Y Li, F Guerin, C Lin AAAI 2024, 2023 | 7* | 2023 |
| Metaphor Detection via Explicit Basic Meanings Modelling Y Li, S Wang, C Lin, G Frank ACL 2023, 2023 | 5 | 2023 |
| An Argument Extraction Decoder in Open Information Extraction Y Li, Y Yang, Q Hu, C Chen, L He ECIR 2021, 313-326, 2021 | 3 | 2021 |
| Evaluating Large Language Models for Generalization and Robustness via Data Compression Y Li, Y Guo, F Guerin, C Lin arXiv preprint arXiv:2402.00861, 2024 | | 2024 |
