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Team
Pasquale Minervini
Number of Papers:- 31
Number of Citations:- 0
First ACL Paper:- 2018
Latest ACL Paper:- 2024
Venues:-
NAACL
CoNLL
L
ClinicalNLP
TrustNLP
COLING
s
EMNLP
-
Findings
SemEval
Gen-Deep
E
C
g
TACL
A
d
WS
NLLP
ACL
EACL
i
IJCNLP
KaLLM
sustainlp
F
n
Co-Authors:-
Aleksandra Piktus
Alessio Devoto
Andrea Passerini
Aryo Gema
Baotian Hu
Similar Authors:-
Michael Azmy
Deshraj Yadav
Xiaohui Zeng
Max Bartolo
Jiachen Liu
2024
2023
2022
2021
2020
2019
2018
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4
SemEval
Aryo Gema |
Giwon Hong |
Pasquale Minervini |
Luke Daines |
Beatrice Alex |
FairBelief - Assessing Harmful Beliefs in Language Models
TrustNLP
WS
Mattia Setzu |
Marta Marchiori Manerba |
Pasquale Minervini |
Debora Nozza |
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
ClinicalNLP
WS
Burcu Sayin |
Pasquale Minervini |
Jacopo Staiano |
Andrea Passerini |
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
ClinicalNLP
WS
Aryo Gema |
Pasquale Minervini |
Luke Daines |
Tom Hope |
Beatrice Alex |
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints
ClinicalNLP
WS
Aryo Gema |
Chaeeun Lee |
Pasquale Minervini |
Luke Daines |
T. Simpson |
Beatrice Alex |
Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024)
KaLLM
WS
Russa Biswas |
Lucie-Aimée Kaffee |
Oshin Agarwal |
Pasquale Minervini |
Sameer Singh |
Gerard de Melo |
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
ACL
Jesus Solano |
Mardhiyah Sanni |
Oana-Maria Camburu |
Pasquale Minervini |
Probing the Emergence of Cross-lingual Alignment during LLM Training
F
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n
d
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n
g
s
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A
C
L
Hetong Wang |
Pasquale Minervini |
Edoardo Ponti |
Using Natural Language Explanations to Improve Robustness of In-context Learning
ACL
Xuanli He |
Yuxiang Wu |
Oana-Maria Camburu |
Pasquale Minervini |
Pontus Stenetorp |
Analysing The Impact of Sequence Composition on Language Model Pre-Training
ACL
Yu Zhao |
Yuanbin Qu |
Konrad Staniszewski |
Szymon Tworkowski |
Wei Liu |
Piotr Miłoś |
Yuxiang Wu |
Pasquale Minervini |
Atomic Inference for NLI with Generated Facts as Atoms
EMNLP
Joe Stacey |
Pasquale Minervini |
Haim Dubossarsky |
Oana-Maria Camburu |
Marek Rei |
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs
EMNLP
Xin Zhou |
Ping Nie |
Yiwen Guo |
Haojie Wei |
Zhanqiu Zhang |
Pasquale Minervini |
Ruotian Ma |
Tao Gui |
Qi Zhang |
Xuanjing Huang |
A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression
EMNLP
Alessio Devoto |
Yu Zhao |
Simone Scardapane |
Pasquale Minervini |
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking
F
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n
d
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n
g
s
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E
A
C
L
Han Zhou |
Ignacio Iacobacci |
Pasquale Minervini |
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
CoNLL
Mohammad Reza Ghasemi Madani |
Pasquale Minervini |
AsyLex: A Dataset for Legal Language Processing of Refugee Claims
NLLP
WS
Claire Barale |
Mark Klaisoongnoen |
Pasquale Minervini |
Michael Rovatsos |
Nehal Bhuta |
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction
COLING
Saadullah Amin |
Pasquale Minervini |
David Chang |
Pontus Stenetorp |
Guenter Neumann |
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
EMNLP
Joe Stacey |
Pasquale Minervini |
Haim Dubossarsky |
Marek Rei |
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
EMNLP
Yuxiang Wu |
Yu Zhao |
Baotian Hu |
Pasquale Minervini |
Pontus Stenetorp |
Sebastian Riedel |
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
EACL
Daniel de Vassimon Manela |
David Errington |
Thomas Fisher |
Boris van Breugel |
Pasquale Minervini |
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints
ACL
IJCNLP
Yuxiang Wu |
Pasquale Minervini |
Pontus Stenetorp |
Sebastian Riedel |
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
TACL
Patrick Lewis |
Yuxiang Wu |
Linqing Liu |
Pasquale Minervini |
Heinrich Küttler |
Aleksandra Piktus |
Pontus Stenetorp |
Sebastian Riedel |
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
ACL
Oana-Maria Camburu |
Brendan Shillingford |
Pasquale Minervini |
Thomas Lukasiewicz |
Phil Blunsom |
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering
EMNLP
Yuxiang Wu |
Sebastian Riedel |
Pasquale Minervini |
Pontus Stenetorp |
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering
EMNLP
sustainlp
Yuxiang Wu |
Pasquale Minervini |
Pontus Stenetorp |
Sebastian Riedel |
Undersensitivity in Neural Reading Comprehension
EMNLP
Findings
Johannes Welbl |
Pasquale Minervini |
Max Bartolo |
Pontus Stenetorp |
Sebastian Riedel |
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
EMNLP
Joe Stacey |
Pasquale Minervini |
Haim Dubossarsky |
Sebastian Riedel |
Tim Rocktäschel |
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
ACL
Leon Weber |
Pasquale Minervini |
Jannes Münchmeyer |
Ulf Leser |
Tim Rocktäschel |
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
CoNLL
Pasquale Minervini |
Sebastian Riedel |
Jack the Reader – A Machine Reading Framework
ACL
Dirk Weissenborn |
Pasquale Minervini |
Isabelle Augenstein |
Johannes Welbl |
Tim Rocktäschel |
Matko Bošnjak |
Jeff Mitchell |
Thomas Demeester |
Tim Dettmers |
Pontus Stenetorp |
Sebastian Riedel |
Extrapolation in NLP
Gen-Deep
NAACL
WS
Jeff Mitchell |
Pontus Stenetorp |
Pasquale Minervini |
Sebastian Riedel |
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