Leonardo F. R. Ribeiro
28 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (65) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(13)
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Keyword Champion
(3)
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Keyword Pioneer
🧬
Topic Evolution
🌈
Renaissance Researcher
(6)
🔥
Unstoppable · Bronze
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The Questioner
(2)
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Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(138)
Venues
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Research topics
Natural Language Processing
(23)
Artificial Intelligence
(16)
Core AI
(16)
Generation
(15)
Applications
(13)
Deep Learning
(11)
Machine Learning
(10)
Learning Types · Deep Learning
(9)
Learning Types · Machine Learning
(6)
Architectures
(5)
Resources & Methods
(5)
Application Areas
(3)
Core Methods
(3)
Techniques
(3)
Computer Science
(2)
Keywords
retrieval-augmented generation
(6)
question answering
(4)
information retrieval
(4)
graph-to-text generation
(3)
knowledge graph
(3)
language model
(3)
pre-trained language model
(3)
graph neural network
(2)
graph encoder
(2)
amr-to-text generation
(2)
natural language inference
(2)
abstract meaning representation
(2)
passage retrieval
(2)
large language model
(2)
natural language generation
(2)
preference learning
(2)
fact verification
(2)
text summarization
(2)
multilingual retrieval
(1)
speech synthesis
(1)
Papers
Benchmarking Deflection and Hallucination in Large Vision-Language Models
ACL 2026
DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality
ACL 2026
RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models
EACL 2026
What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation
ACL 2026
GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation
ACL 2025
NeoQA: Evidence-based Question Answering with Generated News Events
ACL 2025
RAGferee: Building Contextual Reward Models for Retrieval-Augmented Generation
EMNLP 2025
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning
NAACL 2025
XRAG: Cross-lingual Retrieval-Augmented Generation
EMNLP 2025
FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking
EMNLP 2024
Learning When to Retrieve, What to Rewrite, and How to Respond in Conversational QA
EMNLP 2024
Measuring Retrieval Complexity in Question Answering Systems
ACL 2024
On the Role of Summary Content Units in Text Summarization Evaluation
NAACL 2024
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset
ACL 2024
Speechworthy Instruction-tuned Language Models
EMNLP 2024
Generating Summaries with Controllable Readability Levels
EMNLP 2023
FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations
NAACL 2022
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
EMNLP 2022
UKP-SQUARE: An Online Platform for Question Answering Research
ACL 2022
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA
AACL 2022
A Neural Graph-based Local Coherence Model
EMNLP 2021
Investigating Pretrained Language Models for Graph-to-Text Generation
EMNLP 2021
Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs
NAACL 2021
Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation
EMNLP 2021
Structural Adapters in Pretrained Language Models for AMR-to-Text Generation
EMNLP 2021
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers
EMNLP 2020
Enhancing AMR-to-Text Generation with Dual Graph Representations
EMNLP 2019
Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference
ACL 2019