Leonardo F. R. Ribeiro

(Leonardo Filipe Rodrigues Ribeiro)

I'm an Applied Scientist for Amazon AGI at Seattle. I'm broadly interested in the intersection of deep learning and natural language processing (NLP). My work focuses on building robust Large Language Models (LLMs) that perform well on a wide range of NLP tasks. My research interests include controllable text generation, summarization and knowledge-intensive NLP tasks such as Retrieval Augmented Generation (RAG).

I completed my PhD in computer science at UKP Lab at Technical University of Darmstadt, advised by Iryna Gurevych. During my PhD, I worked on generation models for summarization and that produce fluent text from structured data.

In the academic community, I have held leadership roles at premier NLP conferences such as Senior Area Chair in NAACL 2025, Tutorial Chair in ACL 2024 and Area Chair in EACL 2024, NAACL 2024, ACL 2024, EMNLP 2024, COLING 2022 and for ARR. I also served as a Reviewer/Program Committee Member for NLP conferences.

Before the PhD, I received a MSc degree in Computer and Systems Engineering from the Universidade Federal do Rio de Janeiro (UFRJ), advised by Daniel Figueiredo. My Erdős number is 3.

Email: leonardofribeiro@gmail.com | Resume | CV

Selected Publications

Speechworthy Instruction-tuned Language Models

Hyundong Cho, Nicolaas Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, and Jonathan May

EMNLP 2024

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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 2024 (Findings)

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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 2024 (Findings)

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REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset

Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer

ACL 2024 - 62nd Annual Meeting of the Association for Computational Linguistics

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Measuring Retrieval Complexity in Question Answering Systems

Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti

ACL 2024 (Findings) - 62nd Annual Meeting of the Association for Computational Linguistics

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On the Role of Summary Content Units in Text Summarization Evaluation

Marcel Nawrath, Agnieszka Wiktoria Nowak, Tristan Ratz, Danilo Constantin Walenta, Juri Opitz, Leonardo F. R. Ribeiro, Joao Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Chandu, Yufang Hou

NAACL 2024 - Annual Conference of the North American Chapter of the Association for Computational Linguistics

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Generating Summaries with Controllable Readability Levels

Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer

EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing

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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 Thai Le, Leonardo F. R. Ribeiro, Iryna Gurevych

2023 Frontiers in Robotics and AI

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FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations

Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal

NAACL 2022 - Annual Conference of the North American Chapter of the Association for Computational Linguistics

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UKP-SQUARE: An Online Platform for Question Answering Research

Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva, Max Eichler, Gregor Geigle, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo FR Ribeiro, Jonas Pfeiffer, Nils Reimers, Gözde Gül Şahin, Iryna Gurevych

ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics - Demo Track

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Structural Adapters in Pretrained Language Models for AMR-to-Text Generation

Leonardo F. R. Ribeiro, Yue Zhang and Iryna Gurevych

EMNLP 2021 - Conference on Empirical Methods in Natural Language Processing

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Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation

Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang and Iryna Gurevych

EMNLP 2021 - Conference on Empirical Methods in Natural Language Processing

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Investigating Pretrained Language Models for Graph-to-Text Generation

Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze and Iryna Gurevych

NLP for Conversational AI, EMNLP 2021

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Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs

Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze

TextGraphs-15, NAACL 2021

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Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs

Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent and Iryna Gurevych

TACL 2020 - Transactions of the Association for Computational Linguistics

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Enhancing AMR-to-Text Generation with Dual Graph Representations

Leonardo F. R. Ribeiro, Claire Gardent and Iryna Gurevych

EMNLP 2019 - Conference on Empirical Methods in Natural Language Processing

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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 and Iryna Gurevych

ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics

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Performance of Monte Carlo Tree Search Algorithms when Playing the Game Ataxx

Leonardo F. R. Ribeiro, Daniel R. Figueiredo

ENIAC 2018 - 15th National Meeting on Artificial and Computational Intelligence

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struc2vec: Learning Node Representations from Structural Identity

Leonardo F. R. Ribeiro, Pedro H. P. Saverese, Daniel R. Figueiredo

KDD 2017 - ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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Ranking lawyers using a social network induced by legal cases

Leonardo F. R. Ribeiro, Daniel R. Figueiredo

JBCS - Journal of the Brazilian Computer Society, 23(6), 2017

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Professional Service

Senior Area Chair (Resources and Evaluation) - NAACL 2025
Tutorial Chair - The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
Area Chair (Summarization, Machine Learning for NLP [ARR Action Editor]) - The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024)
Area Chair (Summarization [ARR Action Editor]) - Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024)
Area Chair (Natural Language Generation, Summarization and Simplification) - The 29th International Conference on Computational Linguistics (COLING 2022)

Served as Reviewer/Program Committee Member in the following events:

ACL Rolling Review (ARR)
Conference on Empirical Methods in Natural Language Processing (EMNLP): 2020, 2021, 2022, 2023
Annual Meeting of the Association for Computational Linguistics (ACL): 2021, 2023
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): 2021
AAAI Conference on Artificial Intelligence (AAAI): 2021, 2022, 2023, 2024
LREC-COLING 2024 - The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation: 2024

Generation, Evaluation & Metrics (GEM) Workshop: 2022, 2023
Evaluation and Comparison of NLP Systems (Eval4NLP): 2020, 2021, 2022, 2023
Workshop on Graph-Based Natural Language Processing (TextGraphs): 2020, 2021, 2022
Workshop on Knowledge Extraction and Integration for Deep Learning Architectures (DeeLIO): 2022
Workshop on Graph Learning Benchmarks (GBL): 2022, 2023
Brazilian Conference on Intelligent Systems (BRACIS): 2020, 2021, 2022, 2023
Symposium on Knowledge Discovery, Mining and Learning (KDMiLe): 2023
Workshop on Multilingual Surface Realization: 2019, 2020

Served as reviewer to the following journals:

Journal of Machine Learning Research (JMLR)
Language Resources and Evaluation (LREV)