---
title: "BlackboxNLP Workshop on Analyzing and Interpreting Neural"
description: "BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2022 — accepted papers: 1 paper in the Elamur Research…"
canonical: "https://research.elamur.ai/free/en/venues/blackboxnlp/2022/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/blackboxnlp/2022/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [BlackboxNLP Workshop on Analyzing and…](https://md.research.elamur.ai/free/en/venues/blackboxnlp/) / 2022

# BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2022 — accepted papers

BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2022 is the 2022 edition of the BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, held in Abu Dhabi, United Arab Emirates (Hybrid), December 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 37 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**37** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/blackboxnlp/2022/#works) · [**8** citations of these works](https://md.research.elamur.ai/free/en/venues/blackboxnlp/2022/#works)**Abu Dhabi, United Arab Emirates (Hybrid)** where it was held**December 2022** when

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models ↗](https://aclanthology.org/2022.blackboxnlp-1.28/)**Royi Rassin, Shauli Ravfogel, Yoav Goldberg*39 citations*
2. **[Probing Pretrained Models of Source Codes ↗](https://aclanthology.org/2022.blackboxnlp-1.31/)**Sergey Troshin, Nadezhda Chirkova*21 citations*
3. **[Probing GPT-3's Linguistic Knowledge on Semantic Tasks ↗](https://aclanthology.org/2022.blackboxnlp-1.24/)**Lining Zhang, Mengchen Wang, Liben Chen et al.*11 citations*
4. **[On the Compositional Generalization Gap of In-Context Learning ↗](https://aclanthology.org/2022.blackboxnlp-1.22/)**Arian Hosseini, Ankit Vani, Dzmitry Bahdanau et al.*10 citations*
5. **[It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark ↗](https://aclanthology.org/2022.blackboxnlp-1.20/)**Teemu Vahtola, Mathias Creutz, Jörg Tiedemann*9 citations*
6. **[Explaining Translationese: why are Neural Classifiers Better and what do they Learn? ↗](https://aclanthology.org/2022.blackboxnlp-1.23/)**Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef Genabith et al.*7 citations*
7. **[Are Multilingual Sentiment Models Equally Right for the Right Reasons? ↗](https://aclanthology.org/2022.blackboxnlp-1.11/)**Rasmus Jørgensen, Fiammetta Caccavale, Christian Igel et al.*6 citations*
8. **[Sparse Interventions in Language Models with Differentiable Masking ↗](https://aclanthology.org/2022.blackboxnlp-1.2/)**Nicola De Cao, Leon Schmid, Dieuwke Hupkes et al.*6 citations*
9. **[Decomposing Natural Logic Inferences for Neural NLI](https://md.research.elamur.ai/free/en/papers/rozanova-2022-decomposing-natural-logic-inferences-neural/)**Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan et al.*5 citations · our summary*
10. **[Investigating the Characteristics of a Transformer in a Few-Shot Setup: Does Freezing Layers in RoBERTa Help? ↗](https://aclanthology.org/2022.blackboxnlp-1.19/)**Digvijay Ingle, Rishabh Tripathi, Ayush Kumar et al.*5 citations*

## All accepted papers (37)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[DALLE-2 is Seeing Double: Flaws in Word-to-Concept Mapping in Text2Image Models ↗](https://aclanthology.org/2022.blackboxnlp-1.28/)**Royi Rassin, Shauli Ravfogel, Yoav Goldberg*39 citations*
2. **[Probing Pretrained Models of Source Codes ↗](https://aclanthology.org/2022.blackboxnlp-1.31/)**Sergey Troshin, Nadezhda Chirkova*21 citations*
3. **[Probing GPT-3's Linguistic Knowledge on Semantic Tasks ↗](https://aclanthology.org/2022.blackboxnlp-1.24/)**Lining Zhang, Mengchen Wang, Liben Chen et al.*11 citations*
4. **[On the Compositional Generalization Gap of In-Context Learning ↗](https://aclanthology.org/2022.blackboxnlp-1.22/)**Arian Hosseini, Ankit Vani, Dzmitry Bahdanau et al.*10 citations*
5. **[It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark ↗](https://aclanthology.org/2022.blackboxnlp-1.20/)**Teemu Vahtola, Mathias Creutz, Jörg Tiedemann*9 citations*
6. **[Explaining Translationese: why are Neural Classifiers Better and what do they Learn? ↗](https://aclanthology.org/2022.blackboxnlp-1.23/)**Kwabena Amponsah-Kaakyire, Daria Pylypenko, Josef Genabith et al.*7 citations*
7. **[Are Multilingual Sentiment Models Equally Right for the Right Reasons? ↗](https://aclanthology.org/2022.blackboxnlp-1.11/)**Rasmus Jørgensen, Fiammetta Caccavale, Christian Igel et al.*6 citations*
8. **[Sparse Interventions in Language Models with Differentiable Masking ↗](https://aclanthology.org/2022.blackboxnlp-1.2/)**Nicola De Cao, Leon Schmid, Dieuwke Hupkes et al.*6 citations*
9. **[Decomposing Natural Logic Inferences for Neural NLI](https://md.research.elamur.ai/free/en/papers/rozanova-2022-decomposing-natural-logic-inferences-neural/)**Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan et al.*5 citations · our summary*
10. **[Investigating the Characteristics of a Transformer in a Few-Shot Setup: Does Freezing Layers in RoBERTa Help? ↗](https://aclanthology.org/2022.blackboxnlp-1.19/)**Digvijay Ingle, Rishabh Tripathi, Ayush Kumar et al.*5 citations*
11. **[Garden Path Traversal in GPT-2 ↗](https://aclanthology.org/2022.blackboxnlp-1.25/)**William Jurayj, William Rudman, Carsten Eickhoff*4 citations*
12. **[Practical Benefits of Feature Feedback Under Distribution Shift ↗](https://aclanthology.org/2022.blackboxnlp-1.29/)**Anurag Katakkar, Clay H. Yoo, Weiqin Wang et al.*4 citations*
13. **[Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information ↗](https://aclanthology.org/2022.blackboxnlp-1.18/)**Isar Nejadgholi, Esma Balkir, Kathleen Fraser et al.*4 citations*
14. **[Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions ↗](https://aclanthology.org/2022.blackboxnlp-1.14/)**Jenny Kunz, Martin Jirenius, Oskar Holmström et al.*3 citations*
15. **[Probing with Noise: Unpicking the Warp and Weft of Embeddings ↗](https://aclanthology.org/2022.blackboxnlp-1.34/)**Filip Klubicka, John Kelleher*3 citations*
16. **[Understanding Domain Learning in Language Models Through Subpopulation Analysis ↗](https://aclanthology.org/2022.blackboxnlp-1.16/)**Zheng Zhao, Yftah Ziser, Shay B. Cohen*3 citations*
17. **[Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering ↗](https://aclanthology.org/2022.blackboxnlp-1.35/)**Kazutoshi Shinoda, Saku Sugawara, Akiko Aizawa*2 citations*
18. **[Post-Hoc Interpretation of Transformer Hyperparameters with Explainable Boosting Machines ↗](https://aclanthology.org/2022.blackboxnlp-1.5/)**Kiron Deb, Xuan Zhang, Kevin Duh*2 citations*
19. **[Post-hoc analysis of Arabic transformer models ↗](https://aclanthology.org/2022.blackboxnlp-1.8/)**Ahmed Abdelali, Nadir Durrani, Fahim Dalvi et al.*2 citations*
20. **[Probing for Understanding of English Verb Classes and Alternations in Large Pre-trained Language Models ↗](https://aclanthology.org/2022.blackboxnlp-1.12/)**David Yi, James Bruno, Jiayu Han et al.*2 citations*
21. **[Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis ↗](https://aclanthology.org/2022.blackboxnlp-1.26/)**Pangbo Ban, Yifan Jiang, Tianran Liu et al.*2 citations*
22. **[A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition ↗](https://aclanthology.org/2022.blackboxnlp-1.36/)**Darcey Riley, David Chiang*1 citation*
23. **[A Minimal Model for Compositional Generalization on gSCAN ↗](https://aclanthology.org/2022.blackboxnlp-1.1/)**Alice Hein, Klaus Diepold*1 citation*
24. **[Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System ↗](https://aclanthology.org/2022.blackboxnlp-1.13/)**Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier et al.*1 citation*
25. **[Analyzing the Representational Geometry of Acoustic Word Embeddings ↗](https://aclanthology.org/2022.blackboxnlp-1.15/)**Badr Abdullah, Dietrich Klakow*1 citation*

[See all 37 papers in BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/blackboxnlp/2022/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Decomposing Natural Logic Inferences for Neural NLI](https://md.research.elamur.ai/free/en/papers/rozanova-2022-decomposing-natural-logic-inferences-neural/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, et al.*2022 · 8 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**André Freitas**1 work here · 8 citations](https://md.research.elamur.ai/free/en/authors/andre-freitas/) · [🧑‍🔬**Deborah Ferreira**1 work here · 8 citations](https://md.research.elamur.ai/free/en/authors/deborah-ferreira/) · [🧑‍🔬**Julia Rozanova**1 work here · 8 citations](https://md.research.elamur.ai/free/en/authors/julia-rozanova/) · [🧑‍🔬**Marco Valentino**1 work here · 8 citations](https://md.research.elamur.ai/free/en/authors/marco-valentino/) · [🧑‍🔬**Mokanarangan Thayaparan**1 work here · 8 citations](https://md.research.elamur.ai/free/en/authors/mokanarangan-thayaparan/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**University of Manchester** Manchester · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🔬**Idiap Research Institute** Martigny-Combe · Switzerland 1 work here](https://md.research.elamur.ai/free/en/labs/idiap-research-institute/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2021](https://md.research.elamur.ai/free/en/venues/blackboxnlp/2021/)
- [next → BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2023](https://md.research.elamur.ai/free/en/venues/blackboxnlp/2023/)
- [↑ back to BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)