Pasquale Minervini

Venues

Frequent coauthors

Papers

1. Analyzing LLM Instruction Optimization for Tabular Fact Verification
   EACL 2026 ·

   Xiaotang Du

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2. PiCSAR: Probabilistic Confidence Selection and Ranking for Reasoning Chains
   ACL 2026 ·

   Joshua Ong Jun Leang

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3. Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
   AAAI 2025 ·

   Bartosz Wójcik

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4. An Auditing Test to Detect Behavioral Shift in Language Models
   ICLR 2025 ·

   Leo Richter

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5. Are We Done with MMLU?
   NAACL 2025 ·

   Aryo Pradipta Gema

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6. DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
   EMNLP 2025 ·

   Aryo Pradipta Gema

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7. FLARE: Faithful Logic-Aided Reasoning and Exploration
   EMNLP 2025 ·

   Erik Arakelyan

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8. Fine-Tuning Foundation Models for Temporal Knowledge Graph Reasoning
   ECML-PKDD 2025 ·

   Manuel Dileo

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9. GRADA: Graph-based Reranking against Adversarial Documents Attack
   EMNLP 2025 ·

   Jingjie Zheng

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10. Is Complex Query Answering Really Complex?
    ICML 2025 ·

    Cosimo Gregucci

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11. MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly
    NeurIPS 2025 ·

    Zhaowei Wang

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12. Mixtures of In-Context Learners
    ACL 2025 ·

    Giwon Hong

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13. Neurosymbolic Diffusion Models
    NeurIPS 2025 ·

    Emile van Krieken

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14. Self-Training Large Language Models for Tool-Use Without Demonstrations
    NAACL 2025 ·

    Ne Luo

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15. SmaLLEXT: 1st Workshop on Small and Efficient Large Language Models for Knowledge Extraction
    CIKM 2025 ·

    Felice Antonio Merra

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16. Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
    NAACL 2025 ·

    Yu Zhao

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17. TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning
    ACL 2025 ·

    Xuanli He

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18. When Can Proxies Improve the Sample Complexity of Preference Learning?
    ICML 2025 ·

    Yuchen Zhu

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19. A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression
    EMNLP 2024 ·

    Alessio Devoto

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20. Analysing The Impact of Sequence Composition on Language Model Pre-Training
    ACL 2024 ·

    Yu Zhao

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21. Atomic Inference for NLI with Generated Facts as Atoms
    EMNLP 2024 ·

    Joe Stacey

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22. On the Independence Assumption in Neurosymbolic Learning
    ICML 2024 ·

    Emile van Krieken

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23. Probing the Emergence of Cross-lingual Alignment during LLM Training
    ACL 2024 ·

    Hetong Wang

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24. SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
    ACL 2024 ·

    Jesus Solano

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25. Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
    EMNLP 2024 ·

    Xin Zhou

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26. Using Natural Language Explanations to Improve Robustness of In-context Learning
    ACL 2024 ·

    Xuanli He

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