Pasquale Minervini

Analyzing LLM Instruction Optimization for Tabular Fact Verification EACL 2026 SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages COLING 2025 FLARE: Faithful Logic-Aided Reasoning and Exploration EMNLP 2025 GRADA: Graph-based Reranking against Adversarial Documents Attack EMNLP 2025 Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering NAACL 2025 Are We Done with MMLU? NAACL 2025 Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference AAAI 2025 Enhancing Long Document Long Form Summarisation with Self-Planning AACL 2025 PosterSum: A Multimodal Benchmark for Scientific Poster Summarization IJCNLP 2025 Enhancing Long Document Long Form Summarisation with Self-Planning IJCNLP 2025 When Can Proxies Improve the Sample Complexity of Preference Learning? ICML 2025 Is Complex Query Answering Really Complex? ICML 2025 PosterSum: A Multimodal Benchmark for Scientific Poster Summarization AACL 2025 An Auditing Test to Detect Behavioral Shift in Language Models ICLR 2025 Self-Training Large Language Models for Tool-Use Without Demonstrations NAACL 2025 Mixtures of In-Context Learners ACL 2025 DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations EMNLP 2025 TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning ACL 2025 Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024 SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024 Analysing The Impact of Sequence Composition on Language Model Pre-Training ACL 2024 Probing the Emergence of Cross-lingual Alignment during LLM Training ACL 2024 Atomic Inference for NLI with Generated Facts as Atoms EMNLP 2024 Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024 A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression EMNLP 2024 On the Independence Assumption in Neurosymbolic Learning ICML 2024 Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain NAACL 2024 Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain NAACL 2024 Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints NAACL 2024 Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 NAACL 2024 FairBelief - Assessing Harmful Beliefs in Language Models NAACL 2024 Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4 SEMEVAL 2024 Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models AAAI 2023 XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking EACL 2023 Adapting Neural Link Predictors for Data-Efficient Complex Query Answering NIPS 2023 No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NIPS 2023 REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization CONLL 2023 AsyLex: A Dataset for Legal Language Processing of Refugee Claims EMNLP 2023 REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization EMNLP 2023 An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks EMNLP 2022 MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction COLING 2022 Complex Query Answering with Neural Link Predictors (Extended Abstract)* IJCAI 2022 Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models EMNLP 2022 ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective NIPS 2022 Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions NIPS 2021 Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints ACL 2021 Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models EACL 2021 Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints IJCNLP 2021 Complex Query Answering with Neural Link Predictors ICLR 2021 Differentiable Reasoning on Large Knowledge Bases and Natural Language AAAI 2020 Learning Reasoning Strategies in End-to-End Differentiable Proving ICML 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering EMNLP 2020 Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020 Undersensitivity in Neural Reading Comprehension EMNLP 2020 NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language ACL 2019 Extrapolation in NLP NAACL 2018 Jack the Reader – A Machine Reading Framework ACL 2018 Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge CONLL 2018