| Self-alignment Pre-training for Biomedical Entity Representations F Liu, E Shareghi, Z Meng, M Basaldella, N Collier NAACL, 4228–4238, 2021 | 327 | 2021 |
| COMETA: A Corpus for Medical Entity Linking in the Social Media M Basaldella, F Liu, E Shareghi, N Collier EMNLP, 3122-3137, 2020 | 100 | 2020 |
| Fireact: Toward language agent fine-tuning B Chen, C Shu, E Shareghi, N Collier, K Narasimhan, S Yao arXiv preprint arXiv:2310.05915, 2023 | 69 | 2023 |
| A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters M Zhao, Y Zhu, E Shareghi, I Vulić, R Reichart, A Korhonen, H Schütze ACL, 5751-5767, 2021 | 63* | 2021 |
| TaCL: Improving BERT pre-training with token-aware contrastive learning Y Su, F Liu, Z Meng, T Lan, L Shu, E Shareghi, N Collier Findings of NAACL, 2497–2507, 2022 | 55 | 2022 |
| Text summarization with harmony search algorithm-based sentence extraction E Shareghi, LS Hassanabadi IEEE/ACM CSTST, 226-231, 2008 | 50 | 2008 |
| Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT Z Meng, F Liu, TH Clark, E Shareghi, N Collier EMNLP, 4672–4681, 2021 | 44 | 2021 |
| On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation V Prokhorov, E Shareghi, Y Li, MT Pilehvar, N Collier WNGT, 118-127, 2019 | 43 | 2019 |
| Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models Z Meng, F Liu, E Shareghi, Y Su, C Collins, N Collier ACL, 4798 - 4810, 2022 | 41* | 2022 |
| Pive: Prompting with iterative verification improving graph-based generative capability of LLMs J Han, N Collier, W Buntine, E Shareghi Findings of ACL, 6702–6718, 2024 | 33 | 2024 |
| Aligning with human judgement: The role of pairwise preference in large language model evaluators Y Liu, H Zhou, Z Guo, E Shareghi, I Vulic, A Korhonen, N Collier COLM, 2024 | 27 | 2024 |
| Harnessing the power of large language models for natural language to first-order logic translation Y Yang, S Xiong, A Payani, E Shareghi, F Fekri ACL, 6942–6959, 2024 | 22* | 2024 |
| Compact, efficient and unlimited capacity: Language modeling with compressed suffix trees E Shareghi, M Petri, G Haffari, T Cohn EMNLP, 2409-2418, 2015 | 19 | 2015 |
| Visual med-alpaca: A parameter-efficient biomedical llm with visual capabilities C Shu, B Chen, F Liu, Z Fu, E Shareghi, N Collier | 18 | 2023 |
| M-Adapter: Modality Adaptation for End-to-End Speech-to-Text Translation J Zhao, H Yang, E Shareghi, G Haffari Interspeech, 111-115, 2022 | 17 | 2022 |
| Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines E Shareghi, D Gerz, I Vulić, A Korhonen NAACL, 4113-4118, 2019 | 15 | 2019 |
| Fast, small and exact: Infinite-order language modelling with compressed suffix trees E Shareghi, M Petri, G Haffari, T Cohn TACL 4, 477-490, 2016 | 14 | 2016 |
| CLaC-CORE: Exhaustive feature combination for measuring textual similarity E Shareghi, S Bergler * SEM, 202-206, 2013 | 14* | 2013 |
| Self-supervised Graph Masking Pre-training for Graph-to-Text Generation J Han, E Shareghi EMNLP, 4845–4853, 2022 | 12 | 2022 |
| Integrating Transformers and Knowledge Graphs for Twitter Stance Detection T Clark, C Conforti, F Liu, Z Meng, E Shareghi, N Collier W-NUT, 304-312, 2021 | 10 | 2021 |
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
