BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2023: all accepted papers
- Emergent Linear Representations in World Models of Self-Supervised Sequence Models ↗Neel Nanda, Andrew Lee, Martin Wattenberg35 citations
- Explaining Data Patterns in Natural Language with Language Models ↗Chandan Singh, John X. Morris, Jyoti Aneja et al.14 citations
- Layered Bias: Interpreting Bias in Pretrained Large Language Models ↗Nirmalendu Prakash, Roy Ka-Wei Lee11 citations
- Self-Consistency of Large Language Models under Ambiguity ↗Henning Bartsch, Ole Jorgensen, Domenic Rosati et al.10 citations
- Knowledge-Grounded Natural Language Recommendation Explanation ↗Anthony Colas, Jun Araki, Zhengyu Zhou et al.5 citations
- Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages ↗Shunjie Wang, Shane Steinert-Threlkeld4 citations
- Investigating the Effect of Discourse Connectives on Transformer Surprisal: Language Models Understand Connectives, Even So They Are Surprised ↗Yan Cong, Emmanuele Chersoni, Yu-Yin Hsu et al.4 citations
- Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models ↗Mansi Sakarvadia, Aswathy Ajith, Arham Khan et al.4 citations
- Rigorously Assessing Natural Language Explanations of Neurons ↗Jing Huang, Atticus Geiger, Karel D'Oosterlinck et al.3 citations
- When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! PrincipleJudith Sieker, Sina Zarrieß3 citations · our summary
- Causal Abstraction for Chain-of-Thought Reasoning in Arithmetic Word Problems ↗Juanhe (TJ) Tan2 citations
- Enhancing Interpretability Using Human Similarity Judgements to Prune Word Embeddings ↗Natalia Flechas Manrique, Wanqian Bao, Aurelie Herbelot et al.2 citations
- Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model ↗Abhijith Chintam, Rahel Beloch, Willem Zuidema et al.1 citation
- Investigating the Encoding of Words in BERT's Neurons Using Feature Textualization ↗Tanja Baeumel, Soniya Vijayakumar, Josef van Genabith et al.1 citation
- On Quick Kisses and How to Make Them Count: A Study on Event Construal in Light Verb Constructions with BERTChenxin Liu, Emmanuele Chersoni1 citation · our summary
- Why Bother with Geometry? On the Relevance of Linear Decompositions of Transformer Embeddings ↗Timothee Mickus, Raúl Vázquez1 citation
- “Honey, Tell Me What's Wrong”, Global Explanation of Textual Discriminative Models through Cooperative Generation ↗Antoine Chaffin, Julien Delaunay1 citation
- Character-Level Chinese Backpack Language Models ↗Hao Sun, John Hewitt
- Disentangling the Linguistic Competence of Privacy-Preserving BERT ↗Stefan Arnold, Nils Kemmerzell, Annika Schreiner
- How Much Consistency Is Your Accuracy Worth? ↗Jacob K. Johnson, Ana Marasović
- Investigating Semantic Subspaces of Transformer Sentence Embeddings through Linear Structural Probing ↗Dmitry Nikolaev, Sebastian Padó
- METAPROBE: A Representation- and Task-Agnostic Probe ↗Yichu Zhou, Vivek Srikumar
- NPIs Aren't Exactly Easy: Variation in Licensing across Large Language Models ↗Deanna DeCarlo, William Palmer, Michael Wilson et al.
- Not Wacky vs. Definitely Wacky: A Study of Scalar Adverbs in Pretrained Language Models ↗Isabelle Lorge, Janet B. Pierrehumbert
- Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests ↗Aishik Chakraborty, Jackie CK Cheung, Timothy J. O'Donnell
- The Self-Contained Negation Test Set ↗David Kletz, Pascal Amsili, Marie Candito
- Unveiling Multilinguality in Transformer Models: Exploring Language Specificity in Feed-Forward Networks ↗Sunit Bhattacharya, Ondřej Bojar
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