Pasquale Minervini

Abilities In Motion — United States

Computer Science · Physical Sciences

21h-index4.4kcitations190works2.92yr avg
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Research Topics

Topic Modeling(95), Natural Language Processing Techniques(50), Advanced Graph Neural Networks(34), Semantic Web and Ontologies(26), Explainable Artificial Intelligence (XAI)(21)

Publications190 total

Enhancing Long Document Long Form Summarisation with Self-Planning
ArXiv.org·2025Open Access
Enhancing Long Document Long Form Summarisation with Self-Planning
arXiv (Cornell University)·2025Open Access
Low-Rank Compression of Language Models via Differentiable Rank Selection
arXiv (Cornell University)·2025Open Access
Fast and Expressive Multi-Token Prediction with Probabilistic Circuits
arXiv (Cornell University)·2025Open Access
SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction
2025
OpenSIR: Open-Ended Self-Improving Reasoner
arXiv (Cornell University)·2025Open Access
Aligning generalization between humans and machines
Nature Machine Intelligence·2025· 6 cited
Universal Properties of Activation Sparsity in Modern Large Language Models
ArXiv.org·2025Open Access
PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning Chains
arXiv (Cornell University)·2025Open Access
Adaptive layer and token selection for efficient fine-tuning of vision transformers
Neurocomputing·2025· 2 citedOpen Access
Inverse Scaling in Test-Time Compute
arXiv (Cornell University)·2025Open Access
Neurosymbolic Reasoning Shortcuts under the Independence Assumption
arXiv (Cornell University)·2025Open Access
MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
arXiv (Cornell University)·2025Open Access
GRADA: Graph-based Reranking against Adversarial Documents Attack
arXiv (Cornell University)·2025Open Access
MedSyn: Enhancing Diagnostics with Human-AI Collaboration
arXiv (Cornell University)·2025· 1 citedOpen Access
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 1 citedOpen Access
Noiser: Bounded Input Perturbations for Attributing Large Language Models
arXiv (Cornell University)·2025Open Access
Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression
ArXiv.org·2025Open Access
PosterSum: A Multimodal Benchmark for Scientific Poster Summarization
arXiv (Cornell University)·2025Open Access
Self-Training Large Language Models for Tool-Use Without Demonstrations
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Sebastian Riedel(17), Pontus Stenetorp(12), Tim Rocktäschel(10), Luca Costabello(5), Nicola Fanizzi(5), Claudia d’Amato(5), Tim Dettmers(4), Matko Bošnjak(4), Edward Grefenstette(4), Aryo Pradipta Gema(4), Oana-Maria Camburu(3), Vít Nováček(3), Erik Arakelyan(3), Daniel Daza(3), Michael Cochez(3), María Torrente(3), Sameh K. Mohamed(3), Mohan Timilsina(3), Mariano Provencio(3), Xiaoliang Luo(2)