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ORCIDRonald Cardenas
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2020 – today
- 2024
[j3]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
On the Trade-off between Redundancy and Cohesiveness in Extractive Summarization. J. Artif. Intell. Res. 80: 273-326 (2024)- [i7]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
'Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory. CoRR abs/2402.10643 (2024) - [i6]Fenia Christopoulou, Ronald Cardenas, Gerasimos Lampouras, Haitham Bou-Ammar, Jun Wang:
SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks. CoRR abs/2410.05102 (2024) - 2023
- [c4]Ronald Cardenas, Bingsheng Yao
, Dakuo Wang, Yufang Hou:
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism. EMNLP 2023: 1186-1202 - [i5]Ronald Cardenas, Bingsheng Yao, Dakuo Wang, Yufang Hou:
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism. CoRR abs/2310.15077 (2023) - 2022
- [i4]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
On the Trade-off between Redundancy and Local Coherence in Summarization. CoRR abs/2205.10192 (2022) - [i3]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - 2021
- [i2]Ronald Cardenas, Matthias Galle, Shay B. Cohen:
Unsupervised Extractive Summarization by Human Memory Simulation. CoRR abs/2104.08392 (2021)
2010 – 2019
- 2019
- [j2]Daniel Kondratyuk, Ronald Cardenas, Ondrej Bojar:
Replacing Linguists with Dummies: A Serious Need for Trivial Baselines in Multi-Task Neural Machine Translation. Prague Bull. Math. Linguistics 113: 31- (2019) - [c3]Simone Belli, Ronald Cardenas, Martin Velez, Ariana Rivera, Valeria Santoro:
Open Science and Open Access, a Scientific Practice for Sharing Knowledge. ICAI Workshops 2019: 156-167 - [c2]Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May:
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. NAACL-HLT (1) 2019: 2428-2439 - [i1]Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May:
A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. CoRR abs/1904.05426 (2019) - 2018
- [j1]Ronald Cardenas, Kevin Bello, Alberto Coronado, Elizabeth Villota:
Improving Topic Coherence Using Entity Extraction Denoising. Prague Bull. Math. Linguistics 110: 85-101 (2018) - [c1]Shashi Narayan, Ronald Cardenas, Nikos Papasarantopoulos, Shay B. Cohen, Mirella Lapata, Jiangsheng Yu, Yi Chang:
Document Modeling with External Attention for Sentence Extraction. ACL (1) 2018: 2020-2030
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