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2210.03050
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State-of-the-art generalisation research in NLP: A taxonomy and review
Nature Machine Intelligence (Nat. Mach. Intell.), 2022
6 October 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
Tiago Pimentel
Christos Christodoulopoulos
Karim Lasri
Naomi Saphra
Arabella J. Sinclair
Dennis Ulmer
Florian Schottmann
Khuyagbaatar Batsuren
Kaiser Sun
Koustuv Sinha
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
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Papers citing
"State-of-the-art generalisation research in NLP: A taxonomy and review"
27 / 77 papers shown
Non-Compositionality in Sentiment: New Data and Analyses
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Verna Dankers
Christopher G. Lucas
CoGe
311
2
0
31 Oct 2023
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks
Conference on Computational Natural Language Learning (CoNLL), 2023
Kaiser Sun
Adina Williams
Dieuwke Hupkes
CoGe
215
9
0
26 Oct 2023
Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning
Lucas Weber
Elia Bruni
Dieuwke Hupkes
276
35
0
20 Oct 2023
Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Osman Batur .Ince
Tanin Zeraati
Semih Yagcioglu
Yadollah Yaghoobzadeh
Erkut Erdem
Aykut Erdem
164
3
0
18 Oct 2023
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Jirui Qi
Raquel Fernández
Arianna Bisazza
KELM
HILM
693
106
0
16 Oct 2023
Understanding the Effects of RLHF on LLM Generalisation and Diversity
International Conference on Learning Representations (ICLR), 2023
Robert Kirk
Ishita Mediratta
Christoforos Nalmpantis
Jelena Luketina
Eric Hambro
Edward Grefenstette
Roberta Raileanu
AI4CE
ALM
557
261
0
10 Oct 2023
In-Context Learning for Text Classification with Many Labels
Aristides Milios
Siva Reddy
Dzmitry Bahdanau
226
46
0
19 Sep 2023
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Andreas Waldis
Yufang Hou
Iryna Gurevych
327
4
0
15 Sep 2023
Uncertainty in Natural Language Generation: From Theory to Applications
Joris Baan
Nico Daheim
Evgenia Ilia
Dennis Ulmer
Haau-Sing Li
Raquel Fernández
Barbara Plank
Rico Sennrich
Chrysoula Zerva
Wilker Aziz
UQLM
469
64
0
28 Jul 2023
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
Machine Translation Summit (MT Summit), 2023
Ali Araabi
Vlad Niculae
Christof Monz
192
3
0
24 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
M. Baran
Joanna Baran
Mateusz Wójcik
Maciej Ziȩba
Adam Gonczarek
OODD
320
10
0
13 Jul 2023
Measuring the Robustness of NLP Models to Domain Shifts
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Nitay Calderon
Naveh Porat
Eyal Ben-David
Alexander Chapanin
Zorik Gekhman
Nadav Oved
Vitaly Shalumov
Roi Reichart
680
10
0
31 May 2023
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Marius Mosbach
Tiago Pimentel
Haiqin Yang
Dietrich Klakow
Yanai Elazar
326
173
0
26 May 2023
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Mario Giulianelli
Iris Luden
Raquel Fernández
Andrey Kutuzov
197
30
0
19 May 2023
Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses
IEEE Games Entertainment Media Conference (IEEE GEM), 2023
Xenia Ohmer
Elia Bruni
Dieuwke Hupkes
LRM
302
17
0
19 May 2023
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
David Stap
Vlad Niculae
Christof Monz
307
13
0
19 May 2023
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Anas Himmi
Ekhine Irurozki
Nathan Noiry
Nathan Huet
Pierre Colombo
334
11
0
17 May 2023
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Arjun Subramonian
Xingdi Yuan
Hal Daumé
Su Lin Blodgett
205
22
0
15 May 2023
Test-Time Adaptation with Perturbation Consistency Learning
Yi Su
Yixin Ji
Juntao Li
Hai Ye
Hao Fei
VLM
200
1
0
25 Apr 2023
Language Model Behavior: A Comprehensive Survey
International Conference on Computational Logic (ICCL), 2023
Tyler A. Chang
Benjamin Bergen
VLM
LRM
LM&MA
372
140
0
20 Mar 2023
Describe me an Aucklet: Generating Grounded Perceptual Category Descriptions
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Bill Noble
N. Ilinykh
262
0
0
07 Mar 2023
Investigating Multi-source Active Learning for Natural Language Inference
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Ard Snijders
Douwe Kiela
Katerina Margatina
235
9
0
14 Feb 2023
Language model acceptability judgements are not always robust to context
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Koustuv Sinha
Jon Gauthier
Aaron Mueller
Kanishka Misra
Keren Fuentes
R. Levy
Adina Williams
209
19
0
18 Dec 2022
Diverse Demonstrations Improve In-context Compositional Generalization
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Itay Levy
Ben Bogin
Jonathan Berant
419
175
0
13 Dec 2022
Assessing Out-of-Domain Language Model Performance from Few Examples
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2022
Prasann Singhal
Jarad Forristal
Xi Ye
Greg Durrett
LRM
206
6
0
13 Oct 2022
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
Transactions of the Association for Computational Linguistics (TACL), 2020
J. Clark
Eunsol Choi
Michael Collins
Dan Garrette
Tom Kwiatkowski
Vitaly Nikolaev
J. Palomaki
547
688
0
10 Mar 2020
Diversify Your Datasets: Analyzing Generalization via Controlled Variance in Adversarial Datasets
Conference on Computational Natural Language Learning (CoNLL), 2019
Ohad Rozen
Vered Shwartz
Roee Aharoni
Ido Dagan
AAML
200
39
0
21 Oct 2019
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