Leonardo F. R. Ribeiro

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Relevance Feedback

Graph Representations

Text Generation

World Knowledge

Top Venues

Publications

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 (2024)
Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti
Measuring Retrieval Complexity in Question Answering Systems. CoRR (2024)
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 (2024)
Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti
Measuring Retrieval Complexity in Question Answering Systems. ACL (Findings) (2024)
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)
Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
Generating Summaries with Controllable Readability Levels. CoRR (2023)
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 (2023)
Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
Generating Summaries with Controllable Readability Levels. EMNLP (2023)
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)
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 (2022)
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 (2022)
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)
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR (2022)
Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. CoRR (2022)
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 (2022)
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)
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)
Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. CoRR (2021)
Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych
A Neural Graph-based Local Coherence Model. EMNLP (Findings) (2021)
Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych
Structural Adapters in Pretrained Language Models for AMR-to-Text Generation. EMNLP (1) (2021)
Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych
Structural Adapters in Pretrained Language Models for AMR-to-text Generation. CoRR (2021)
Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. EMNLP (1) (2021)
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 (2020)
Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych
Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR (2020)
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 (2020)
Kevin Stowe, Leonardo F. R. Ribeiro, Iryna Gurevych
Metaphoric Paraphrase Generation. CoRR (2020)
Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. CoRR (2020)
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 (2020)
Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych
Enhancing AMR-to-Text Generation with Dual Graph Representations. CoRR (2019)
Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych
Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP/IJCNLP (1) (2019)
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)