Leonardo F. R. Ribeiro

53 papers A* 4Journal 30Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality. CoRR Yukun Huang, Leonardo F. R. Ribeiro, Momchil Hardalov, Bhuwan Dhingra, Markus Dreyer, Venkatesh Saligrama
2026	—	`conf`	RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models. EACL (Volume 1: Long Papers) Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab
2025	J	`jnl`	Deep Research Comparator: A Platform For Fine-grained Human Annotations of Deep Research Agents. CoRR 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	—	`conf`	GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation. ACL (Findings) Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Christopher Davis, Adrià de Gispert
2025	J	`jnl`	GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation. CoRR Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Christopher Davis, Adrià de Gispert
2025	—	`conf`	NeoQA: Evidence-based Question Answering with Generated News Events. ACL (Findings) Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer
2025	J	`jnl`	NeoQA: Evidence-based Question Answering with Generated News Events. CoRR Max Glockner, Xiang Jiang, Leonardo F. R. Ribeiro, Iryna Gurevych, Markus Dreyer
2025	A*	`conf`	RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation. EMNLP Andrei Catalin Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson, Adrià de Gispert
2025	J	`jnl`	RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation. CoRR Andrei C. Coman, Ionut-Teodor Sorodoc, Leonardo F. R. Ribeiro, Bill Byrne, James Henderson, Adrià de Gispert
2025	J	`jnl`	RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models. CoRR Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab
2025	—	`conf`	Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. NAACL (Findings) Hyundong Justin Cho, Karishma Sharma, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Jonathan May, Alessandro Moschitti
2025	J	`jnl`	Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. CoRR Hyundong Cho, Karishma Sharma, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Alessandro Moschitti, Ravi Krishnan, Jonathan May
2025	—	`conf`	XRAG: Cross-lingual Retrieval-Augmented Generation. EMNLP (Findings) Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber
2025	J	`jnl`	XRAG: Cross-lingual Retrieval-Augmented Generation. CoRR Wei Liu, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber
2024	—	`conf`	FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. EMNLP (Findings) Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou
2024	J	`jnl`	FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking. CoRR Zhuoer Wang, Leonardo F. R. Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou
2024	—	`conf`	Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. EMNLP (Findings) Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small
2024	J	`jnl`	Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA. CoRR Nirmal Roy, Leonardo F. R. Ribeiro, Rexhina Blloshmi, Kevin Small
2024	—	`conf`	Measuring Retrieval Complexity in Question Answering Systems. ACL (Findings) Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti
2024	J	`jnl`	Measuring Retrieval Complexity in Question Answering Systems. CoRR Matteo Gabburo, Nicolaas Paul Jedema, Siddhant Garg, Leonardo F. R. Ribeiro, Alessandro Moschitti
2024	—	`conf`	On the Role of Summary Content Units in Text Summarization Evaluation. NAACL (Short Papers) Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri Opitz, Leonardo F. R. Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Raghavi Chandu, Yufang Hou
2024	J	`jnl`	On the Role of Summary Content Units in Text Summarization Evaluation. CoRR 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
2024	—	`ed.`	Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts), ACL 2024, Bangkok, Thailand, August 11-16, 2024 ACL (5) Luis Chiruzzo, Hung-yi Lee, Leonardo F. R. Ribeiro
2024	—	`conf`	REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. ACL (1) Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer
2024	A*	`conf`	Speechworthy Instruction-tuned Language Models. EMNLP Hyundong Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro A. Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May
2024	J	`jnl`	Speechworthy Instruction-tuned Language Models. CoRR Hyundong Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro A. Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May
2023	A*	`conf`	Generating Summaries with Controllable Readability Levels. EMNLP Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
2023	J	`jnl`	Generating Summaries with Controllable Readability Levels. CoRR Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer
2023	J	`jnl`	Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning. CoRR Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych
2023	J	`jnl`	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 Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych
2022	—	`conf`	FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. NAACL-HLT Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
2022	J	`jnl`	FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. CoRR Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal
2022	J	`jnl`	GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR 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
2022	A*	`conf`	Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. EMNLP Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych
2022	J	`jnl`	Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking. CoRR Tim Baumgärtner, Leonardo F. R. Ribeiro, Nils Reimers, Iryna Gurevych
2022	—	`conf`	UKP-SQUARE: An Online Platform for Question Answering Research. ACL (demo) 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
2022	J	`jnl`	UKP-SQUARE: An Online Platform for Question Answering Research. CoRR 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
2022	J	`jnl`	UKP-SQuARE v2 Explainability and Adversarial Attacks for Trustworthy QA. CoRR Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych
2022	—	`conf`	UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA. AACL/IJCNLP (System Demonstrations) Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych
2021	—	`conf`	A Neural Graph-based Local Coherence Model. EMNLP (Findings) Mohsen Mesgar, Leonardo F. R. Ribeiro, Iryna Gurevych
2021	—	`conf`	Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. EMNLP (1) Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych
2021	J	`jnl`	Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation. CoRR Leonardo F. R. Ribeiro, Jonas Pfeiffer, Yue Zhang, Iryna Gurevych
2021	—	`conf`	Structural Adapters in Pretrained Language Models for AMR-to-Text Generation. EMNLP (1) Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych
2021	J	`jnl`	Structural Adapters in Pretrained Language Models for AMR-to-text Generation. CoRR Leonardo F. R. Ribeiro, Yue Zhang, Iryna Gurevych
2020	J	`jnl`	Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers. CoRR Anne Lauscher, Olga Majewska, Leonardo F. R. Ribeiro, Iryna Gurevych, Nikolai Rozanov, Goran Glavas
2020	J	`jnl`	Investigating Pretrained Language Models for Graph-to-Text Generation. CoRR Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, Iryna Gurevych
2020	J	`jnl`	Metaphoric Paraphrase Generation. CoRR Kevin Stowe, Leonardo F. R. Ribeiro, Iryna Gurevych
2020	J	`jnl`	Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. CoRR Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych
2020	J	`jnl`	Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs. Trans. Assoc. Comput. Linguistics Leonardo F. R. Ribeiro, Yue Zhang, Claire Gardent, Iryna Gurevych
2020	J	`jnl`	Modeling Graph Structure via Relative Position for Better Text Generation from Knowledge Graphs. CoRR Martin Schmitt, Leonardo F. R. Ribeiro, Philipp Dufter, Iryna Gurevych, Hinrich Schütze
2019	—	`conf`	Enhancing AMR-to-Text Generation with Dual Graph Representations. EMNLP/IJCNLP (1) Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych
2019	J	`jnl`	Enhancing AMR-to-Text Generation with Dual Graph Representations. CoRR Leonardo F. R. Ribeiro, Claire Gardent, Iryna Gurevych
2019	—	`conf`	Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference. ACL (1) Tobias Falke, Leonardo F. R. Ribeiro, Prasetya Ajie Utama, Ido Dagan, Iryna Gurevych