struc2vec: Learning Node Representations from Structural Identity. - Leonardo Filipe Rodrigues Ribeiro; Pedro H. P. Saverese; Daniel R. Figueiredo 001 (KDD, 2017)

struc2vec: Learning Node Representations from Structural Identity. - Daniel R. Figueiredo 001; Leonardo Filipe Rodrigues Ribeiro; Pedro H. P. Saverese (CoRR, 2017)

Ranking lawyers using a social network induced by legal cases. - Leonardo Filipe Rodrigues Ribeiro; Daniel R. Figueiredo 001 (J. Braz. Comput. Soc., 2017)

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. - Tobias Falke; Leonardo F. R. Ribeiro; Prasetya Ajie Utama; Ido Dagan; Iryna Gurevych (ACL (1), 2019)

Enhancing AMR-to-Text Generation with Dual Graph Representations. - Leonardo F. R. Ribeiro; Claire Gardent; Iryna Gurevych (EMNLP/IJCNLP (1), 2019)

Metaphoric Paraphrase Generation. - Kevin Stowe; Leonardo F. R. Ribeiro; Iryna Gurevych (CoRR, 2020)

Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. - Anne Lauscher; Olga Majewska; Leonardo F. R. Ribeiro; Iryna Gurevych; Nikolai Rozanov; Goran Glavas (CoRR, 2020)

Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. - Martin Schmitt; Leonardo F. R. Ribeiro; Philipp Dufter; Iryna Gurevych; Hinrich Schütze (CoRR, 2020)

Investigating Pretrained Language Models for Graph-to-Text Generation. - Leonardo F. R. Ribeiro; Martin Schmitt; Hinrich Schütze; Iryna Gurevych (CoRR, 2020)

Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. - Leonardo F. R. Ribeiro; Yue Zhang; Claire Gardent; Iryna Gurevych (Trans. Assoc. Comput. Linguistics, 2020)

A Neural Graph-based Local Coherence Model. - Mohsen Mesgar; Leonardo F. R. Ribeiro; Iryna Gurevych (EMNLP (Findings), 2021)

Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. - Leonardo F. R. Ribeiro; Jonas Pfeiffer; Yue Zhang; Iryna Gurevych (EMNLP (1), 2021)

Structural Adapters in Pretrained Language Models for AMR-to-Text Generation. - Leonardo F. R. Ribeiro; Yue Zhang; Iryna Gurevych (EMNLP (1), 2021)

UKP-SQUARE: An Online Platform for Question Answering Research. - Tim Baumgärtner; Kexin Wang; Rachneet Sachdeva; Gregor Geigle; Max Eichler; Clifton Poth; Hannah Sterz; Haritz Puerto; Leonardo F. R. Ribeiro; Jonas Pfeiffer; Nils Reimers 001; Gözde Gül Sahin; et al. (ACL (demo), 2022)

Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. - Tim Baumgärtner; Leonardo F. R. Ribeiro; Nils Reimers 001; Iryna Gurevych (EMNLP, 2022)

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA. - Rachneet Sachdeva; Haritz Puerto; Tim Baumgärtner; Sewin Tariverdian; Hao Zhang; Kexin Wang; Hossain Shaikh Saadi; Leonardo F. R. Ribeiro; Iryna Gurevych (AACL/IJCNLP (System Demonstrations), 2022)

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. - Leonardo F. R. Ribeiro; Mengwen Liu; Iryna Gurevych; Markus Dreyer; Mohit Bansal (NAACL-HLT, 2022)

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. - 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; et al. (CoRR, 2022)

Graph-based Approaches to Text Generation. - Leonardo Filipe Rodrigues Ribeiro (2022)

Generating Summaries with Controllable Readability Levels. - Leonardo F. R. Ribeiro; Mohit Bansal; Markus Dreyer (EMNLP, 2023)

Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning. - Georgia Chalvatzaki; Ali Younes; Daljeet Nandha; An T. Le 001; Leonardo F. R. Ribeiro; Iryna Gurevych (Frontiers Robotics AI, 2023)

Measuring Retrieval Complexity in Question Answering Systems. - Matteo Gabburo; Nicolaas Paul Jedema; Siddhant Garg; Leonardo F. R. Ribeiro; Alessandro Moschitti (ACL (Findings), 2024)

REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. - Vaidehi Patil; Leonardo F. R. Ribeiro; Mengwen Liu; Mohit Bansal; Markus Dreyer (ACL (1), 2024)

Speechworthy Instruction-tuned Language Models. - Hyundong Cho; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Karishma Sharma; Pedro A. Szekely; Alessandro Moschitti; Ruben Janssen; Jonathan May (EMNLP, 2024)

Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. - Nirmal Roy; Leonardo F. R. Ribeiro; Rexhina Blloshmi; Kevin Small (EMNLP (Findings), 2024)

FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. - Zhuoer Wang; Leonardo F. R. Ribeiro; Alexandros Papangelis; Rohan Mukherjee; Tzu-Yen Wang; Xinyan Zhao; Arijit Biswas; James Caverlee; Angeliki Metallinou (EMNLP (Findings), 2024)

On the Role of Summary Content Units in Text Summarization Evaluation. - Marcel Nawrath; Agnieszka Nowak; Tristan Ratz; Danilo C. Walenta; Juri Opitz; Leonardo F. R. Ribeiro; João Sedoc; Daniel Deutsch; Simon Mille; Yixin Liu 003; Sebastian Gehrmann; Lining Zhang; et al. (NAACL (Short Papers), 2024)

NeoQA: Evidence-based Question Answering with Generated News Events. - Max Glockner; Xiang Jiang 001; Leonardo F. R. Ribeiro; Iryna Gurevych; Markus Dreyer (ACL (Findings), 2025)

GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation. - Ionut-Teodor Sorodoc; Leonardo F. R. Ribeiro; Rexhina Blloshmi; Christopher Davis; Adrià de Gispert (ACL (Findings), 2025)

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. - Hyundong Justin Cho; Karishma Sharma; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Jonathan May; Alessandro Moschitti (NAACL (Findings), 2025)

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. - Hyundong Cho; Karishma Sharma; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Alessandro Moschitti; Ravi Krishnan; Jonathan May (CoRR, 2025)

XRAG: Cross-lingual Retrieval-Augmented Generation. - Wei Liu; Sony Trenous; Leonardo F. R. Ribeiro; Bill Byrne; Felix Hieber (CoRR, 2025)

Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents. - Prahaladh Chandrahasan; Jiahe Jin; Zhihan Zhang; Tevin Wang; Andy Tang; Lucy Mo; Morteza Ziyadi; Leonardo F. R. Ribeiro; Zimeng Qiu; Markus Dreyer; Akari Asai; Chenyan Xiong (CoRR, 2025)