Leonardo F. R. Ribeiro
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
6
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality. | Yukun Huang, Leonardo F. R. Ribeiro, Momchil Hardalov, Bhuwan Dhingra, Markus Dreyer, Venkatesh Saligrama |
| 2026 | ACL | Benchmarking Deflection and Hallucination in Large Vision-Language Models. | Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, Bill Byrne, Gonzalo Iglesias |
| 2026 | ACL | What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation. | Shaomu Tan, Dawei Zhu, Ke Tran, Michael J. Denkowski, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber |
| 2026 | EACL | RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models. | Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab |
| 2026 | WWW | 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 |
| 2025 | ACL | NeoQA: Evidence-based Question Answering with Generated News Events. | Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer |
| 2025 | ACL | GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation. | Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Christopher Davis, Adri de Gispert |
| 2025 | EMNLP | RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation. | Andrei Catalin Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson, Adri de Gispert |
| 2025 | EMNLP | XRAG: Cross-lingual Retrieval-Augmented Generation. | Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber |
| 2025 | NAACL | 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 |
| 2024 | ACL | Measuring Retrieval Complexity in Question Answering Systems. | Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti |
| 2024 | ACL | REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. | Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. | Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | 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, Joo Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou |
| 2023 | EMNLP | Generating Summaries with Controllable Readability Levels. | Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer |
| 2022 | ACL | UKP-SQUARE: An Online Platform for Question Answering Research. | Tim Baumgrtner, Kexin Wang, Rachneet Sachdeva, Gregor Geigle, Max Eichler, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo F. R. Ribeiro, Jonas Pfeiffer, Nils Reimers, Gzde Gl Sahin, Iryna Gurevych |
| 2022 | EMNLP | Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. | Tim Baumgrtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych |
| 2022 | IJCNLP | UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA. | Rachneet Sachdeva, Haritz Puerto, Tim Baumgrtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych |
| 2022 | NAACL | FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. | Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal |
| 2021 | EMNLP | A Neural Graph-based Local Coherence Model. | Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych |
| 2021 | EMNLP | Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. | Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych |
| 2021 | EMNLP | Structural Adapters in Pretrained Language Models for AMR-to-Text Generation. | Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych |
| 2019 | ACL | 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 |
| 2019 | EMNLP | Enhancing AMR-to-Text Generation with Dual Graph Representations. | Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych |