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title: "BlackboxNLP Workshop on Analyzing and Interpreting Neural"
description: "All 29 papers of BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2023, the most cited first; those with our…"
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# BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2023: all accepted papers

29 papers · the most cited first · [← BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2023](https://md.research.elamur.ai/free/en/venues/blackboxnlp/2023/)

1. **[Emergent Linear Representations in World Models of Self-Supervised Sequence Models ↗](https://aclanthology.org/2023.blackboxnlp-1.2/)**Neel Nanda, Andrew Lee, Martin Wattenberg*35 citations*
2. **[Explaining Data Patterns in Natural Language with Language Models ↗](https://aclanthology.org/2023.blackboxnlp-1.3/)**Chandan Singh, John X. Morris, Jyoti Aneja et al.*14 citations*
3. **[Layered Bias: Interpreting Bias in Pretrained Large Language Models ↗](https://aclanthology.org/2023.blackboxnlp-1.22/)**Nirmalendu Prakash, Roy Ka-Wei Lee*11 citations*
4. **[Self-Consistency of Large Language Models under Ambiguity ↗](https://aclanthology.org/2023.blackboxnlp-1.7/)**Henning Bartsch, Ole Jorgensen, Domenic Rosati et al.*10 citations*
5. **[Knowledge-Grounded Natural Language Recommendation Explanation ↗](https://aclanthology.org/2023.blackboxnlp-1.1/)**Anthony Colas, Jun Araki, Zhengyu Zhou et al.*5 citations*
6. **[Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages ↗](https://aclanthology.org/2023.blackboxnlp-1.21/)**Shunjie Wang, Shane Steinert-Threlkeld*4 citations*
7. **[Investigating the Effect of Discourse Connectives on Transformer Surprisal: Language Models Understand Connectives, Even So They Are Surprised ↗](https://aclanthology.org/2023.blackboxnlp-1.17/)**Yan Cong, Emmanuele Chersoni, Yu-Yin Hsu et al.*4 citations*
8. **[Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models ↗](https://aclanthology.org/2023.blackboxnlp-1.26/)**Mansi Sakarvadia, Aswathy Ajith, Arham Khan et al.*4 citations*
9. **[Rigorously Assessing Natural Language Explanations of Neurons ↗](https://aclanthology.org/2023.blackboxnlp-1.24/)**Jing Huang, Atticus Geiger, Karel D'Oosterlinck et al.*3 citations*
10. **[When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! Principle](https://md.research.elamur.ai/free/en/papers/sieker-2023-when-your-language-model-cannot/)**Judith Sieker, Sina Zarrieß*3 citations · our summary*
11. **[Causal Abstraction for Chain-of-Thought Reasoning in Arithmetic Word Problems ↗](https://aclanthology.org/2023.blackboxnlp-1.12/)**Juanhe (TJ) Tan*2 citations*
12. **[Enhancing Interpretability Using Human Similarity Judgements to Prune Word Embeddings ↗](https://aclanthology.org/2023.blackboxnlp-1.13/)**Natalia Flechas Manrique, Wanqian Bao, Aurelie Herbelot et al.*2 citations*
13. **[Probing Quantifier Comprehension in Large Language Models: Another Example of Inverse Scaling ↗](https://aclanthology.org/2023.blackboxnlp-1.4/)**Akshat Gupta*2 citations*
14. **[Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model ↗](https://aclanthology.org/2023.blackboxnlp-1.29/)**Abhijith Chintam, Rahel Beloch, Willem Zuidema et al.*1 citation*
15. **[Investigating the Encoding of Words in BERT's Neurons Using Feature Textualization ↗](https://aclanthology.org/2023.blackboxnlp-1.20/)**Tanja Baeumel, Soniya Vijayakumar, Josef van Genabith et al.*1 citation*
16. **[On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERT](https://md.research.elamur.ai/free/en/papers/liu-2023-quick-kisses-how-make-them/)**Chenxin Liu, Emmanuele Chersoni*1 citation · our summary*
17. **[Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings ↗](https://aclanthology.org/2023.blackboxnlp-1.10/)**Timothee Mickus, Raúl Vázquez*1 citation*
18. **[“Honey, Tell Me What's Wrong”, Global Explanation of Textual Discriminative Models through Cooperative Generation ↗](https://aclanthology.org/2023.blackboxnlp-1.6/)**Antoine Chaffin, Julien Delaunay*1 citation*
19. **[Character-Level Chinese Backpack Language Models ↗](https://aclanthology.org/2023.blackboxnlp-1.8/)**Hao Sun, John Hewitt
20. **[Disentangling the Linguistic Competence of Privacy-Preserving BERT ↗](https://aclanthology.org/2023.blackboxnlp-1.5/)**Stefan Arnold, Nils Kemmerzell, Annika Schreiner
21. **[How Much Consistency Is Your Accuracy Worth? ↗](https://aclanthology.org/2023.blackboxnlp-1.19/)**Jacob K. Johnson, Ana Marasović
22. **[Introducing VULCAN: A Visualization Tool for Understanding Our Models and Data by Example ↗](https://aclanthology.org/2023.blackboxnlp-1.15/)**Jonas Groschwitz
23. **[Investigating Semantic Subspaces of Transformer Sentence Embeddings through Linear Structural Probing ↗](https://aclanthology.org/2023.blackboxnlp-1.11/)**Dmitry Nikolaev, Sebastian Padó
24. **[METAPROBE: A Representation- and Task-Agnostic Probe ↗](https://aclanthology.org/2023.blackboxnlp-1.18/)**Yichu Zhou, Vivek Srikumar
25. **[NPIs Aren't Exactly Easy: Variation in Licensing across Large Language Models ↗](https://aclanthology.org/2023.blackboxnlp-1.25/)**Deanna DeCarlo, William Palmer, Michael Wilson et al.
26. **[Not Wacky vs. Definitely Wacky: A Study of Scalar Adverbs in Pretrained Language Models ↗](https://aclanthology.org/2023.blackboxnlp-1.23/)**Isabelle Lorge, Janet B. Pierrehumbert
27. **[Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests ↗](https://aclanthology.org/2023.blackboxnlp-1.27/)**Aishik Chakraborty, Jackie CK Cheung, Timothy J. O'Donnell
28. **[The Self-Contained Negation Test Set ↗](https://aclanthology.org/2023.blackboxnlp-1.16/)**David Kletz, Pascal Amsili, Marie Candito
29. **[Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks ↗](https://aclanthology.org/2023.blackboxnlp-1.9/)**Sunit Bhattacharya, Ondřej Bojar
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