Pasquale Minervini

59 papers · 2018–2026 · 14 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (7) 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (97) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🐝 Cross-Pollinator (6) 🌍 Conference Polyglot (14) 🌟 Keyword Trendsetter Combo (3) 🤝 Dynamic Duo (12) 🏆 Grand Slam 🔬 Deep Specialist (11) 🧬 Topic Evolution 🏆 Keyword Champion (4) ❓ The Questioner (4) ⚡ Prolific Year (6) 🔥 Unstoppable (8) 💎 Century Club (57) 🗃️ Keyword Collector (245) 📈 Trend Setter

Conferences

EMNLP (13) ACL (10) NAACL (9) ICML (4) NIPS (4) AAAI (3) EACL (3) IJCNLP (3) AACL (2) COLING (2) CONLL (2) ICLR (2) IJCAI (1) SEMEVAL (1)

Top co-authors

Sebastian Riedel (12) Pontus Stenetorp (11) Giwon Hong (7) Xuanli He (7) Rohit Saxena (6) Yuxiang Wu (6) Xiaotang Du (5) Aryo Pradipta Gema (5) Erik Arakelyan (5) Yu Zhao (5)

Research topics

Natural Language Processing (1)

Keywords

large language model (11) natural language inference (9) question answering (8) parameter-efficient fine-tuning (4) adaptive computation (4) in-context learning (4) knowledge graph (3) few-shot learning (3) adversarial training (3) prompt engineering (3) open-domain question answering (3) adversarial attack (3) explanation generation (3) link prediction (3) language model (3) natural language explanation (3) interpretable machine learning (2) domain adaptation (2) model compression (2) explanation regularization (2)

Papers

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