| Compressing Context to Enhance Inference Efficiency of Large Language Models Y Li, B Dong, C Lin, F Guerin EMNLP 2023, 2023 | 163* | 2023 |
| Minference 1.0: Accelerating pre-filling for long-context llms via dynamic sparse attention H Jiang, Y Li, C Zhang, Q Wu, X Luo, S Ahn, Z Han, AH Abdi, D Li, CY Lin, ... NeurIPS 2024 Spotlight, 2024 | 70 | 2024 |
| An Open Source Data Contamination Report for Large Language Models Y Li, F Guerin, C Lin EMNLP 2024 Finding, 2023 | 46* | 2023 |
| FrameBERT: Conceptual metaphor detection with frame embedding learning Y Li, S Wang, C Lin, F Guerin, L Barrault EACL 2023, 2023 | 37 | 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 | 35* | 2023 |
| Estimating Contamination via Perplexity: Quantifying Memorisation in Language Model Evaluation Y Li arXiv preprint arXiv:2309.10677, 2023 | 25 | 2023 |
| Metaphor Detection with Effective Context Denoising S Wang, Y Li, C Lin, L Barrault, F Guerin EACL 2023, 2023 | 20 | 2023 |
| Metaphor Detection via Explicit Basic Meanings Modelling Y Li, S Wang, C Lin, G Frank ACL 2023, 2023 | 19 | 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 | 19 | 2022 |
| Recent advances in neural text generation: A task-agnostic survey C Tang, F Guerin, C Lin arXiv preprint arXiv:2203.03047, 2022 | 19 | 2022 |
| Nominal metaphor generation with multitask learning Y Li, C Lin, F Geurin INLG 2022, 2022 | 16 | 2022 |
| The Secret of Metaphor on Expressing Stronger Emotion Y Li, F Guerin, C Lin FigLang@EMNLP 2022, 2023 | 14 | 2023 |
| Finding challenging metaphors that confuse pretrained language models Y Li, F Guerin, C Lin arXiv preprint arXiv:2401.16012, 2024 | 6 | 2024 |
| Data Contamination Report from the 2024 CONDA Shared Task O Sainz, I García-Ferrero, A Jacovi, JA Campos, Y Elazar, E Agirre, ... CONDA@ACL 2024, 2024 | 5 | 2024 |
| 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 | 5 | 2024 |
| Scbench: A kv cache-centric analysis of long-context methods Y Li, H Jiang, Q Wu, X Luo, S Ahn, C Zhang, AH Abdi, D Li, J Gao, Y Yang, ... ICLR 2025, 2024 | 4 | 2024 |
| An Argument Extraction Decoder in Open Information Extraction Y Li, Y Yang, Q Hu, C Chen, L He ECIR 2021, 313-326, 2021 | 4 | 2021 |
| On the Rigour of Scientific Writing: Criteria, Analysis, and Insights J James, C Xiao, Y Li, C Lin EMNLP 2024 Finding, 2024 | 1 | 2024 |
| LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm S Wu, Y Li, X Qu, R Ravikumar, Y Li, TLSQX Wei, R Batista-Navarro, C Lin arXiv preprint arXiv:2502.19103, 2025 | | 2025 |
| With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models T Loakman, Y Li, C Lin EMNLP 2024, 2024 | | 2024 |
