Pasquale Minervini
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
23
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*EMNLP12 papers
- A*ACL11 papers
- A*AAAI4 papers
- A*ICML4 papers
- CNeSy4 papers
- MulticonferenceSAC4 papers
- AEACL3 papers
- ACIKM3 papers
- ANAACL3 papers
- BESANN2 papers
- BCOLING2 papers
- A*ICLR2 papers
- BIJCNLP2 papers
- BCoNLL2 papers
- NationalAMIA2 papers
- BLREC1 paper
- BIJCNN1 paper
- A*IJCAI1 paper
- AUAI1 paper
- CICMLA1 paper
- BEKAW1 paper
- A*ICDM1 paper
- CICGSE1 paper
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PiCSAR: Probabilistic Confidence Selection and Ranking for Reasoning Chains. | Joshua Ong Jun Leang, Zheng Zhao, Aryo Pradipta Gema, Sohee Yang, Wai-Chung Kwan, Xuanli He, Wenda Li, Pasquale Minervini, Eleonora Giunchiglia, Shay B. Cohen |
| 2026 | EACL | Analyzing LLM Instruction Optimization for Tabular Fact Verification. | Xiaotang Du, Giwon Hong, Wai-Chung Kwan, Rohit Saxena, Ivan Titov, Pasquale Minervini, Emily Allaway |
| 2026 | ESANN | Learning and Reasoning on Knowledge and Heterogeneous Graphs in the era of Graph Foundation and Large Language Models. | Matteo Zignani, Pasquale Minervini, Roberto Interdonato, Manuel Dileo |
| 2026 | LREC | Low-Rank Compression of Language Models via Differentiable Rank Selection. | Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini |
| 2025 | AAAI | Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference. | Bartosz Wjcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane |
| 2025 | ACL | TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. | Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2025 | ACL | Mixtures of In-Context Learners. | Giwon Hong, Emile van Krieken, Edoardo Maria Ponti, Nikolay Malkin, Pasquale Minervini |
| 2025 | CIKM | SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction. | Felice Antonio Merra, Kristian Skracic, Daniele Malitesta, Jacek Golebiowski, Pasquale Minervini |
| 2025 | COLING | SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages. | Gayane Ghazaryan, Erik Arakelyan, Isabelle Augenstein, Pasquale Minervini |
| 2025 | EMNLP | FLARE: Faithful Logic-Aided Reasoning and Exploration. | Erik Arakelyan, Pasquale Minervini, Patrick S. H. Lewis, Pat Verga, Isabelle Augenstein |
| 2025 | EMNLP | DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations. | Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Alexander Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran |
| 2025 | EMNLP | GRADA: Graph-based Reranking against Adversarial Documents Attack. | Jingjie Zheng, Aryo Pradipta Gema, Giwon Hong, Xuanli He, Pasquale Minervini, Youcheng Sun, Qiongkai Xu |
| 2025 | ESANN | Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers. | Manuel Dileo, Pasquale Minervini, Matteo Zignani, Sabrina Gaito |
| 2025 | ICLR | An Auditing Test to Detect Behavioral Shift in Language Models. | Leo Richter, Xuanli He, Pasquale Minervini, Matt J. Kusner |
| 2025 | ICML | Is Complex Query Answering Really Complex? | Cosimo Gregucci, Bo Xiong, Daniel Hernndez, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari |
| 2025 | ICML | When Can Proxies Improve the Sample Complexity of Preference Learning? | Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt J. Kusner, Alexander Nicholas D'Amour |
| 2025 | IJCNLP | Enhancing Long Document Long Form Summarisation with Self-Planning. | Xiaotang Du, Rohit Saxena, Laura Perez-Beltrachini, Pasquale Minervini, Ivan Titov |
| 2025 | IJCNLP | PosterSum: A Multimodal Benchmark for Scientific Poster Summarization. | Rohit Saxena, Pasquale Minervini, Frank Keller |
| 2025 | NAACL | Are We Done with MMLU? | Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini |
| 2025 | NAACL | Self-Training Large Language Models for Tool-Use Without Demonstrations. | Ne Luo, Aryo Pradipta Gema, Xuanli He, Emile van Krieken, Pietro Lesci, Pasquale Minervini |
| 2025 | NAACL | Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering. | Yu Zhao, Alessio Devoto, Giwon Hong, Xiaotang Du, Aryo Pradipta Gema, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini |
| 2025 | NeSy | Neurosymbolic Reasoning Shortcuts under the Independence Assumption. | Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari |
| 2024 | ACL | Using Natural Language Explanations to Improve Robustness of In-context Learning. | Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp |
| 2024 | ACL | SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations. | Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini |
| 2024 | ACL | Probing the Emergence of Cross-lingual Alignment during LLM Training. | Hetong Wang, Pasquale Minervini, Edoardo M. Ponti |
| 2024 | ACL | Analysing The Impact of Sequence Composition on Language Model Pre-Training. | Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Milos, Yuxiang Wu, Pasquale Minervini |
| 2024 | EMNLP | A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression. | Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini |
| 2024 | EMNLP | Atomic Inference for NLI with Generated Facts as Atoms. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei |
| 2024 | EMNLP | Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs. | Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICML | On the Independence Assumption in Neurosymbolic Learning. | Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari |
| 2023 | AAAI | Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. | Pasquale Minervini, Luca Franceschi, Mathias Niepert |
| 2023 | CIKM | Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs. | Medina Andresel, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova |
| 2023 | CoNLL | REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization. | Mohammad Reza Ghasemi Madani, Pasquale Minervini |
| 2023 | EACL | XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. | Han Zhou, Ignacio Iacobacci, Pasquale Minervini |
| 2023 | IJCNN | Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. | Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massut, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vt Novcek |
| 2022 | AMIA | Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. | Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermdez, Enric Carcereny, Luca Costabello, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernab, Maria Guirado, Pasquale Minervini, Vt Novcek |
| 2022 | COLING | MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction. | Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, Guenter Neumann |
| 2022 | EMNLP | Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei |
| 2022 | EMNLP | An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. | Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2022 | IJCAI | Complex Query Answering with Neural Link Predictors (Extended Abstract). | Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez |
| 2022 | NeSy | Learning Proof Path Selection Policies in Neural Theorem Proving. | Matthew Morris, Pasquale Minervini, Phil Blunsom |
| 2021 | ACL | Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. | Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2021 | AMIA | On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. | Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vt Novcek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini |
| 2021 | CIKM | First Workshop on Knowledge Injection in Neural Networks (KINN). | Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy |
| 2021 | EACL | Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. | Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini |
| 2021 | ICLR | Complex Query Answering with Neural Link Predictors. | Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez |
| 2021 | NeSy | Backpropagating through Markov Logic Networks. | Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt |
| 2020 | AAAI | Differentiable Reasoning on Large Knowledge Bases and Natural Language. | Pasquale Minervini, Matko Bosnjak, Tim Rocktschel, Sebastian Riedel, Edward Grefenstette |
| 2020 | ACL | Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. | Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom |
| 2020 | EMNLP | Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktschel |
| 2020 | EMNLP | Undersensitivity in Neural Reading Comprehension. | Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel |
| 2020 | EMNLP | Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. | Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2020 | EMNLP | Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. | Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp |
| 2020 | ICML | Learning Reasoning Strategies in End-to-End Differentiable Proving. | Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktschel |
| 2019 | ACL | NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. | Leon Weber, Pasquale Minervini, Jannes Mnchmeyer, Ulf Leser, Tim Rocktschel |
| 2019 | NeSy | Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. | Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktschel, Jun Wang, Matko Bosnjak |
| 2019 | SAC | Embedding cardinality constraints in neural link predictors. | Emir Muoz, Pasquale Minervini, Matthias Nickles |
| 2018 | AAAI | Convolutional 2D Knowledge Graph Embeddings. | Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel |
| 2018 | ACL | Jack the Reader - A Machine Reading Framework. | Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel |
| 2018 | CoNLL | Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge. | Pasquale Minervini, Sebastian Riedel |
| 2017 | UAI | Adversarial Sets for Regularising Neural Link Predictors. | Pasquale Minervini, Thomas Demeester, Tim Rocktschel, Sebastian Riedel |
| 2016 | SAC | Leveraging the schema in latent factor models for knowledge graph completion. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2015 | ICMLA | Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion. | Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2014 | EKAW | Adaptive Knowledge Propagation in Web Ontologies. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2014 | ICDM | A Gaussian Process Model for Knowledge Propagation in Web Ontologies. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Floriana Esposito |
| 2013 | SAC | Rank prediction for semantically annotated resources. | Pasquale Minervini, Nicola Fanizzi, Claudia d'Amato, Floriana Esposito |
| 2012 | SAC | Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge. | Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi |
| 2010 | ICGSE | Can Real-Time Machine Translation Overcome Language Barriers in Distributed Requirements Engineering? | Fabio Calefato, Filippo Lanubile, Pasquale Minervini |