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Bruno Martins

22 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+7 more ↓ πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (8)
πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) ⚑ Prolific Year (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (90) πŸ’Ž Century Club (22)

Conferences

SEMEVAL (7) NAACL (4) ACL (3) EMNLP (3) COLING (2) EACL (2) CVPR (1)

Papers

From Tower to Spire: Adding the Speech Modality to a Translation-Specialist LLM EMNLP 2025 A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates ACL 2025 Leveraging LLMs to Streamline the Review of Public Funding Applications EMNLP 2025 Explainable ICD Coding via Entity Linking NAACL 2025 Efficient Architectures for High Resolution Vision-Language Models COLING 2025 Evaluation of Multilingual Image Captioning: How far can we get with CLIP models? NAACL 2025 Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data Augmentation SEMEVAL 2024 Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval ACL 2024 Accurate and Well-Calibrated ICD Code Assignment Through Attention Over Diverse Label Embeddings EACL 2024 PAELLA: Parameter-Efficient Lightweight Language-Agnostic Captioning Model NAACL 2024 Lisbon Computational Linguists at SemEval-2024 Task 2: Using a Mistral-7B Model and Data Augmentation NAACL 2024 Retrieval-augmented Image Captioning EACL 2023 LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting ACL 2023 SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation CVPR 2023 Dense Template Retrieval for Customer Support COLING 2022 INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces SEMEVAL 2015 ULisboa: Recognition and Normalization of Medical Concepts SEMEVAL 2015 INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction SEMEVAL 2015 Semi-Supervised Bootstrapping of Relationship Extractors with Distributional Semantics EMNLP 2015 TUGAS: Exploiting unlabelled data for Twitter sentiment analysis SEMEVAL 2014 ULisboa: Identification and Classification of Medical Concepts SEMEVAL 2014 REACTION: A naive machine learning approach for sentiment classification SEMEVAL 2013