Minervini, Pasquale

31 publications

AAAI 2025 Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane

ICLR 2025 An Auditing Test to Detect Behavioral Shift in Language Models Leo Richter, Xuanli He, Pasquale Minervini, Matt Kusner

TMLR 2025 Inverse Scaling in Test-Time Compute Aryo Pradipta Gema, Alexander Hägele, Runjin Chen, Andy Arditi, Jacob Goldman-Wetzler, Kit Fraser-Taliente, Henry Sleight, Linda Petrini, Julian Michael, Beatrice Alex, Pasquale Minervini, Yanda Chen, Joe Benton, Ethan Perez

ICML 2025 Is Complex Query Answering Really Complex? Cosimo Gregucci, Bo Xiong, Daniel Hernández, Lorenzo Loconte, Pasquale Minervini, Steffen Staab, Antonio Vergari

ICLRW 2025 Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMs Rohit Saxena, Aryo Pradipta Gema, Pasquale Minervini

NeurIPS 2025 MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman

NeurIPS 2025 Neurosymbolic Diffusion Models Emile van Krieken, Pasquale Minervini, Edoardo Ponti, Antonio Vergari

ICLRW 2025 Q-Filters: Leveraging Query-Key Geometry for Efficient Key-Value Cache Compression Nathan Godey, Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini, Éric Villemonte de la Clergerie, Benoît Sagot

ICML 2025 When Can Proxies Improve the Sample Complexity of Preference Learning? Yuchen Zhu, Daniel Augusto De Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt Kusner, Alexander D’Amour

ICMLW 2024 An Auditing Test to Detect Behavioral Shift in Language Models Leo Richter, Nitin Agrawal, Xuanli He, Pasquale Minervini, Matt Kusner

NeurIPSW 2024 Analysing the Residual Stream of Language Models Under Knowledge Conflicts Yu Zhao, Xiaotang Du, Giwon Hong, Aryo Pradipta Gema, Alessio Devoto, Hongru Wang, Xuanli He, Kam-Fai Wong, Pasquale Minervini

ICMLW 2024 Attention Is All You Need but You Don’t Need All of It for Inference of Large Language Models Georgy Tyukin, Gbetondji Jean-Sebastien Dovonon, Jean Kaddour, Pasquale Minervini

NeurIPSW 2024 Enhancing the Generation of Predictions and Natural Language Explanations via Sparse Few-Shot Fine-Tuning and Prompting Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini

ICML 2024 On the Independence Assumption in Neurosymbolic Learning Emile Van Krieken, Pasquale Minervini, Edoardo Ponti, Antonio Vergari

NeurIPS 2023 Adapting Neural Link Predictors for Data-Efficient Complex Query Answering Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein

AAAI 2023 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini, Luca Franceschi, Mathias Niepert

NeurIPSW 2023 Local LoRA: Memory-Efficient Fine-Tuning of Large Language Models Oscar Key, Jean Kaddour, Pasquale Minervini

NeurIPS 2023 No Train No Gain: Revisiting Efficient Training Algorithms for Transformer-Based Language Models Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J Kusner

IJCAI 2022 Complex Query Answering with Neural Link Predictors (Extended Abstract) Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez

NeurIPSW 2022 Learning Discrete Directed Acyclic Graphs via Backpropagation Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi

NeurIPSW 2022 Learning Discrete Directed Acyclic Graphs via Backpropagation Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi

NeurIPS 2022 ReFactor GNNs: Revisiting Factorisation-Based Models from a Message-Passing Perspective Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel

ICLR 2021 Complex Query Answering with Neural Link Predictors Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez

NeurIPS 2021 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert, Pasquale Minervini, Luca Franceschi

AAAI 2020 Differentiable Reasoning on Large Knowledge Bases and Natural Language Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette

ICML 2020 Learning Reasoning Strategies in End-to-End Differentiable Proving Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel

ICMLW 2020 WordCraft: An Environment for Benchmarking Commonsense Agents Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip Torr, Shimon Whiteson, Tim Rocktäschel

AAAI 2018 Convolutional 2D Knowledge Graph Embeddings Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

ICMLW 2018 Towards Neural Theorem Proving at Scale Pasquale Minervini, Matko Bošnjak, Tim Rocktäschel, Sebastian Riedel

UAI 2017 Adversarial Sets for Regularising Neural Link Predictors Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel

ECML-PKDD 2017 Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms Pasquale Minervini, Luca Costabello, Emir Muñoz, Vít Novácek, Pierre-Yves Vandenbussche