Pierre Colombo
31 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Machine Learning
(21)
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Artificial Intelligence
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Deep Learning
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large language model
(4)
out-of-distribution detection
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text classification
(3)
contextual embedding
(3)
unsupervised learning
(3)
representation learning
(3)
hierarchical encoder
(2)
benchmark evaluation
(2)
neural machine translation
(2)
ranking aggregation
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optimal transport
(2)
hallucination detection
(2)
disentangled representation
(2)
fair classification
(2)
machine translation
(2)
mutual information
(2)
preference alignment
(2)
natural language processing
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sentiment analysis
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adversarial learning
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Papers
ColPali: Efficient Document Retrieval with Vision Language Models
ICLR 2025
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
EMNLP 2025
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation
EMNLP 2024
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis
EMNLP 2024
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
NeurIPS 2024
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
EMNLP 2024
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection
AAAI 2024
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
IJCNLP 2023
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation
ACL 2023
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data
EMNLP 2023
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications
EMNLP 2023
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning
EMNLP 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
IJCNLP 2023
Toward Stronger Textual Attack Detectors
EMNLP 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
EMNLP 2023
Beyond Mahalanobis Distance for Textual OOD Detection
NeurIPS 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
ACL 2022
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
COLING 2022
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
NeurIPS 2022
What are the best Systems? New Perspectives on NLP Benchmarking
NeurIPS 2022
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
ACL 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters
EMNLP 2021
Code-switched inspired losses for spoken dialog representations
EMNLP 2021
Improving Multimodal fusion via Mutual Dependency Maximisation
EMNLP 2021
Guiding Attention in Sequence-to-Sequence Models for Dialogue Act Prediction
AAAI 2020
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
NeurIPS 2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
EMNLP 2020
The importance of fillers for text representations of speech transcripts
EMNLP 2020
Affect-Driven Dialog Generation
NAACL 2019
From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining
EMNLP 2019
Disney at IEST 2018: Predicting Emotions using an Ensemble
EMNLP 2018