António Farinhas
13 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (35)
🏆
Keyword Champion
(3)
🗃️
Keyword Collector
(67)
💎
Century Club · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(11)
Natural Language Processing
(10)
Core AI
(9)
Applications
(8)
Deep Learning
(7)
Optimization & Theory · Machine Learning
(6)
Learning Types · Machine Learning
(4)
Models
(3)
Optimization & Theory · Deep Learning
(3)
Application Areas
(2)
Architectures
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types · Deep Learning
(2)
Keywords
machine translation
(7)
text generation
(3)
quality-aware decoding
(3)
quality estimation
(3)
large language model
(3)
exponential family
(2)
variational inference
(2)
attention mechanism
(2)
automatic metric
(2)
translation quality
(2)
beam search
(2)
minimum bayes risk
(2)
sparse distribution
(1)
markov chain monte carlo
(1)
computational efficiency
(1)
latent variable model
(1)
preference learning
(1)
human feedback
(1)
distribution drift
(1)
neural machine translation
(1)
Papers
$∞$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
ICML 2025
Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral
EMNLP 2025
Can Automatic Metrics Assess High-Quality Translations?
EMNLP 2024
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation
EMNLP 2024
Non-Exchangeable Conformal Risk Control
ICLR 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation
NeurIPS 2024
Reranking Laws for Language Generation: A Communication-Theoretic Perspective
NeurIPS 2024
Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task
EMNLP 2024
An Empirical Study of Translation Hypothesis Ensembling with Large Language Models
EMNLP 2023
Quality-Aware Decoding for Neural Machine Translation
NAACL 2022
Sparse Communication via Mixed Distributions
ICLR 2022
Sparse Continuous Distributions and Fenchel-Young Losses
JMLR 2022
Sparse and Continuous Attention Mechanisms
NeurIPS 2020