Leonardo F. R. Ribeiro

(Leonardo Filipe Rodrigues Ribeiro)

I'm a Senior Applied Scientist on Amazon AGI, where I focus on building and refining robust Large Language and Multimodal Foundation Models. My work centers on large-scale training solutions to enhance reasoning capabilities, model performance, and user alignment across a wide range of tasks. My research interests lie in various areas of controllable text generation, summarization and knowledge-intensive NLP tasks such as (multi-modal) Retrieval Augmented Generation (RAG). I hold a PhD in Computer Science from the UKP Lab at the Technical University of Darmstadt, where I was advised by Iryna Gurevych.

My work has been published in top-tier AI conferences such as ACL, EMNLP, NAACL, and KDD. I actively contribute to the research community, serving as a Senior Area Chair for NAACL 2025, Tutorial Chair for ACL 2024, and Area Chair for EACL 2024, NAACL 2024, ACL 2024, EMNLP 2024, COLING 2022, and ARR.

Email: leonardofribeiro@gmail.com | Resume | CV

Publications

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning

Hyundong Cho, Karishma Sharma, Nicolaas Jedema, Leonardo F. R. Ribeiro, Alessandro Moschitti, Ravi Krishnan, Jonathan May

NAACL 2025 (Findings)

pdf

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

pdf

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)

pdf

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)

pdf

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

pdf

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

pdf

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

pdf Code

Generating Summaries with Controllable Readability Levels

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

EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing

pdf Code

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

pdf data

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

pdf Code

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

pdf Code

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

pdf Code Video

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

pdf Code

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

pdf Code Video

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

pdf Code

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

pdf Code Video

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

pdf Code

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

pdf data

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

pdf

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

pdf Code

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

pdf

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)