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ORCIDLeonardo F. R. Ribeiro
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- affiliation: Technische Universität Darmstadt, Germany
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2020 – today
- 2024
[c17]Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer:
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. ACL (1) 2024: 13773-13786- [c16]Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti:
Measuring Retrieval Complexity in Question Answering Systems. ACL (Findings) 2024: 14636-14650 - [c15]Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou:
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. EMNLP (Findings) 2024: 6179-6191 - [c14]Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small:
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. EMNLP (Findings) 2024: 10604-10625 - [c13]Hyundong Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro A. Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May:
Speechworthy Instruction-tuned Language Models. EMNLP 2024: 10652-10670 - [c12]Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. NAACL (Short Papers) 2024: 272-281 - [i21]Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta
, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou:
On the Role of Summary Content Units in Text Summarization Evaluation. CoRR abs/2404.01701 (2024) - [i20]Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti:
Measuring Retrieval Complexity in Question Answering Systems. CoRR abs/2406.03592 (2024) - [i19]Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou:
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. CoRR abs/2407.13945 (2024) - [i18]Hyundong Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro A. Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May:
Speechworthy Instruction-tuned Language Models. CoRR abs/2409.14672 (2024) - [i17]Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small:
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. CoRR abs/2409.15515 (2024) - 2023
- [j3]Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych:
Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning. Frontiers Robotics AI 10 (2023) - [c11]Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer:
Generating Summaries with Controllable Readability Levels. EMNLP 2023: 11669-11687 - [i16]Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych:
Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning. CoRR abs/2305.07716 (2023) - [i15]Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer:
Generating Summaries with Controllable Readability Levels. CoRR abs/2310.10623 (2023) - 2022
- [b1]Leonardo Filipe Rodrigues Ribeiro:
Graph-based Approaches to Text Generation. Technical University of Darmstadt, Germany, 2022 - [c10]Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva, Gregor Geigle, Max Eichler, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo F. R. Ribeiro, Jonas Pfeiffer, Nils Reimers, Gözde Gül Sahin, Iryna Gurevych:
UKP-SQUARE: An Online Platform for Question Answering Research. ACL (demo) 2022: 9-22 - [c9]Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych:
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. EMNLP 2022: 8988-9005 - [c8]Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych:
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA. AACL/IJCNLP (System Demonstrations) 2022: 28-38 - [c7]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT 2022: 3238-3253 - [i14]Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva, Max Eichler, Gregor Geigle, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo F. R. Ribeiro, Jonas Pfeiffer, Nils Reimers, Gözde Gül Sahin, Iryna Gurevych:
UKP-SQUARE: An Online Platform for Question Answering Research. CoRR abs/2203.13693 (2022) - [i13]Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal:
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR abs/2204.06508 (2022) - [i12]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) - [i11]Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych:
UKP-SQuARE v2 Explainability and Adversarial Attacks for Trustworthy QA. CoRR abs/2208.09316 (2022) - [i10]Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych:
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. CoRR abs/2210.10695 (2022) - 2021
- [c6]Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych:
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. EMNLP (1) 2021: 742-750 - [c5]Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych:
A Neural Graph-based Local Coherence Model. EMNLP (Findings) 2021: 2316-2321 - [c4]Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych:
Structural Adapters in Pretrained Language Models for AMR-to-Text Generation. EMNLP (1) 2021: 4269-4282 - [i9]Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych:
Structural Adapters in Pretrained Language Models for AMR-to-text Generation. CoRR abs/2103.09120 (2021) - [i8]Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych:
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. CoRR abs/2109.03808 (2021) - 2020
- [j2]Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. Trans. Assoc. Comput. Linguistics 8: 589-604 (2020) - [i7]Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych:
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. CoRR abs/2001.11003 (2020) - [i6]Kevin Stowe, Leonardo F. R. Ribeiro, Iryna Gurevych:
Metaphoric Paraphrase Generation. CoRR abs/2002.12854 (2020) - [i5]Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov, Goran Glavas:
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. CoRR abs/2005.11787 (2020) - [i4]Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze:
Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. CoRR abs/2006.09242 (2020) - [i3]Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych:
Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR abs/2007.08426 (2020)
2010 – 2019
- 2019
- [c3]Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych:
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. ACL (1) 2019: 2214-2220 - [c2]Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych:
Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP/IJCNLP (1) 2019: 3181-3192 - [i2]Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych:
Enhancing AMR-to-Text Generation with Dual Graph Representations. CoRR abs/1909.00352 (2019) - 2017
- [j1]Leonardo Filipe Rodrigues Ribeiro, Daniel R. Figueiredo:
Ranking lawyers using a social network induced by legal cases. J. Braz. Comput. Soc. 23(1): 6:1-6:12 (2017) - [c1]Leonardo Filipe Rodrigues Ribeiro, Pedro H. P. Saverese, Daniel R. Figueiredo:
struc2vec: Learning Node Representations from Structural Identity. KDD 2017: 385-394 - [i1]Daniel R. Figueiredo, Leonardo Filipe Rodrigues Ribeiro, Pedro H. P. Saverese:
struc2vec: Learning Node Representations from Structural Identity. CoRR abs/1704.03165 (2017)
Coauthor Index
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