📰 BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2021 — accepted papers

BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2021 is the 2021 edition of the BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, held in Punta Cana, Dominican Republic, November 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 43 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.

Most cited papers

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

1. Fine-Tuned Transformers Show Clusters of Similar Representations Across LayersJason Phang, Haokun Liu, Samuel R. Bowman22 citations
2. Perturbing Inputs for Fragile Interpretations in Deep Natural Language ProcessingSanchit Sinha, Hanjie Chen, Arshdeep Sekhon et al.20 citations
3. To what extent do human explanations of model behavior align with actual model behavior?Grusha Prasad, Yixin Nie, Mohit Bansal et al.18 citations
4. Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationRohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo et al.17 citations
5. Probing Language Models for Understanding of Temporal ExpressionsShivin Thukral, Kunal Kukreja, Christian Kavouras17 citations
6. Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCANRahma Chaabouni, Roberto Dessì, Eugene Kharitonov15 citations
7. Analyzing BERT's Knowledge of Hypernymy via PromptingMichael Hanna, David Mareček14 citations
8. Do Language Models Know the Way to Rome?Bastien Liétard, Mostafa Abdou, Anders Søgaard14 citations
9. A howling success or a working sea? Testing what BERT knows about metaphorsPaolo Pedinotti, Eliana Di Palma, Ludovica Cerini et al.13 citations
10. ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their PrototypicalityMarianna Apidianaki, Aina Garí Soler13 citations

All accepted papers (43)

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

1. Fine-Tuned Transformers Show Clusters of Similar Representations Across LayersJason Phang, Haokun Liu, Samuel R. Bowman22 citations
2. Perturbing Inputs for Fragile Interpretations in Deep Natural Language ProcessingSanchit Sinha, Hanjie Chen, Arshdeep Sekhon et al.20 citations
3. To what extent do human explanations of model behavior align with actual model behavior?Grusha Prasad, Yixin Nie, Mohit Bansal et al.18 citations
4. Enhancing Interpretable Clauses Semantically using Pretrained Word RepresentationRohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo et al.17 citations
5. Probing Language Models for Understanding of Temporal ExpressionsShivin Thukral, Kunal Kukreja, Christian Kavouras17 citations
6. Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCANRahma Chaabouni, Roberto Dessì, Eugene Kharitonov15 citations
7. Analyzing BERT's Knowledge of Hypernymy via PromptingMichael Hanna, David Mareček14 citations
8. Do Language Models Know the Way to Rome?Bastien Liétard, Mostafa Abdou, Anders Søgaard14 citations
9. A howling success or a working sea? Testing what BERT knows about metaphorsPaolo Pedinotti, Eliana Di Palma, Ludovica Cerini et al.13 citations
10. ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns' Semantic Properties and their PrototypicalityMarianna Apidianaki, Aina Garí Soler13 citations
11. How Does BERT Rerank Passages? An Attribution Analysis with Information BottlenecksZhiying Jiang, Raphael Tang, Ji Xin et al.11 citations
12. The Language Model Understood the Prompt was Ambiguous: Probing Syntactic Uncertainty Through GenerationLaura Aina, Tal Linzen11 citations
13. Not All Models Localize Linguistic Knowledge in the Same Place: A Layer-wise Probing on BERToids' RepresentationsMohsen Fayyaz, Ehsan Aghazadeh, Ali Modarressi et al.10 citations
14. Investigating Negation in Pre-trained Vision-and-language ModelsRadina Dobreva, Frank Keller9 citations
15. On the Language-specificity of Multilingual BERT and the Impact of Fine-tuningMarc Tanti, Lonneke van der Plas, Claudia Borg et al.9 citations
16. Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human RatingsHendrik Schuff, Hsiu-Yu Yang, Heike Adel et al.8 citations · our summary
17. Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?Tobias Norlund, Lovisa Hagström, Richard Johansson8 citations
18. Not all parameters are born equal: Attention is mostly what you needNikolay Bogoychev7 citations
19. Relating Neural Text Degeneration to Exposure BiasTing-Rui Chiang, Yun-Nung Chen7 citations
20. BERT Has Uncommon Sense: Similarity Ranking for Word Sense BERTologyLuke Gessler, Nathan Schneider6 citations
21. How Length Prediction Influence the Performance of Non-Autoregressive Translation?Minghan Wang, Guo Jiaxin, Yuxia Wang et al.6 citations
22. Screening Gender Transfer in Neural Machine TranslationGuillaume Wisniewski, Lichao Zhu, Nicolas Ballier et al.6 citations
23. Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language InferenceHitomi Yanaka, Koji Mineshima5 citations
24. How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word EmbeddingsBadr Abdullah, Iuliia Zaitova, Tania Avgustinova et al.5 citations
25. Learning Mathematical Properties of IntegersMaria Ryskina, Kevin Knight5 citations

See all 43 papers in BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2021 — accepted papers →

📄 Papers with our summary in our library (1)

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

1. Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human RatingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPHendrik Schuff, Hsiu-Yu Yang, Heike Adel, et al.2021 · 11 citations

🧭 Top topics

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

📏Evaluation & benchmarks (1)🧮Reasoning (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🎓University of StuttgartStuttgart · Germany1 work here🏢Robert BoschStuttgart · Germany1 work here

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

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