Pasquale Minervini
Orcid: 0000-0002-8442-602XAffiliations:
- University of Edinburgh, UK
- University College London, Centre for Artificial Intelligence, UK (former)
- University of Bari Aldo Moro, Department of Computer Science, Italy (former)
According to our database1,
Pasquale Minervini
authored at least 98 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.
CoRR, 2024
The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models.
CoRR, 2024
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4.
CoRR, 2024
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
2023
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer.
J. Biomed. Informatics, August, 2023
Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference.
CoRR, 2023
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.
CoRR, 2023
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks.
CoRR, 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.
CoRR, 2023
CoRR, 2023
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients.
CoRR, 2022
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.
CoRR, 2022
Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models.
CoRR, 2022
MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction.
CoRR, 2022
Differentiable Reasoning over Long Stories - Assessing Systematic Generalisation in Neural Models.
CoRR, 2022
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients.
Proceedings of the AMIA 2022, 2022
2021
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021
Trans. Assoc. Comput. Linguistics, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
CoRR, 2020
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings.
CoRR, 2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty.
Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2019), 2019
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
2016
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies.
J. Data Semant., 2016
J. Intell. Inf. Syst., 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the Joint Proceedings of the 5th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data and the 1st International Workshop on Completing and Debugging the Semantic Web (Know@LOD-2016, 2016
2015
Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs.
Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
2014
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014
Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Knowledge Engineering and Knowledge Management, 2014
2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Proceedings of the Semantic Web: Semantics and Big Data, 10th International Conference, 2013
2012
Int. J. Semantic Comput., 2012
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, 2012
Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge.
Proceedings of the ACM Symposium on Applied Computing, 2012
Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships.
Proceedings of the 9th Italian Convention on Computational Logic, 2012
2011
Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge.
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 2011
2010
Can Real-Time Machine Translation Overcome Language Barriers in Distributed Requirements Engineering?
Proceedings of the 5th IEEE International Conference on Global Software Engineering, 2010